SCS-C02 AWS Certified Security - Specialty Questions and Answers

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.Encryption.html

https://aws.amazon.com/premiumsupport/knowledge-center/ebs-automatic-encryption/

To implement encryption at rest for both the EC2 instances and the Aurora DB cluster, the following steps are required:

For the EC2 instances, modify the EBS default encryption settings in the target AWS Region to enable encryption. This will ensure that any new EBS volumes created in that Region are encrypted by default using an AWS managed key. Alternatively, you can specify a customer managed key when creating new EBS volumes.For more information, see Amazon EBS encryption.

Use an Auto Scaling group instance refresh to replace the existing EC2 instances with new ones that have encrypted EBS volumes attached. An instance refresh is a feature that helps you update all instances in an Auto Scaling group in a rolling fashion without the need to manage the instance replacement process manually. For more information, see Replacing Auto Scaling instances based on an instance refresh.

For the Aurora DB cluster, create a new AWS Key Management Service (AWS KMS) encrypted DB cluster from a snapshot of the existing DB cluster. You can use either an AWS managed key or a customer managed key to encrypt the new DB cluster. You cannot enable or disable encryption for an existing DB cluster, so you have to create a new one from a snapshot.For more information, see Encrypting Amazon Aurora resources.

The other options are incorrect because they either do not enable encryption at rest for the resources (B, D), or they use the wrong service for encryption (E).

Verified References:

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSEncryption.html

https://docs.aws.amazon.com/autoscaling/ec2/userguide/asg-instance-refresh.html

https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/Overview.Encryption.html

The best solution to meet the company's requirements of offering an alternative login method while securely protecting player credentials and reducing the burden of password resets is to use Amazon Cognito with user pools. Amazon Cognito provides a fully managed service that facilitates the authentication, authorization, and user management for web and mobile applications. By configuring Amazon Cognito user pools to federate access with third-party Identity Providers (IdPs), such as social media platforms or Google, the company can allow users to sign in through these external IdPs, thereby eliminating the need for traditional username and password logins. This not only enhances user convenience but also offloads the responsibility of managing user credentials and the associated challenges like password resets to Amazon Cognito, thereby reducing the burden on the company's customer service team. Additionally, Amazon Cognito integrates seamlessly with other AWS services and follows best practices for security and compliance, ensuring that the player's credentials are protected.

To enforce end-to-end encryption in transit, the company should do the following:

Update the web application configuration on the web servers to use HTTPS instead of HTTP when connecting to DynamoDB. This ensures that the data is encrypted when it travels from the web servers to the data store.

Update the CloudFront distribution to redirect HTTP requests to HTTPS. This ensures that the viewers always use HTTPS when they access the website through CloudFront.

Update the ALB to listen using HTTPS using the public ACM TLS certificate. Update the CloudFront distribution to connect to the HTTPS listener. This ensures that the data is encrypted when it travels from CloudFront to the ALB and from the ALB to the web servers.

To securely and cost-effectively retain log data archives for several years, the company should do the following:

Archive the data to Amazon S3 Glacier and apply a Vault Lock policy. This allows the company to use a low-cost storage class that is designed for long-term archival of data that is rarely accessed. It also allows the company to enforce compliance controls on their S3 Glacier vault by locking a vault access policy that cannot be changed.

Comprehensive Detailed Explanation with all AWS References

To monitor EC2 instances for software vulnerabilities without installing agents and to display findings in AWS Security Hub,Amazon Inspectoris the most appropriate solution.

Amazon Inspector Overview:

Amazon Inspector is a vulnerability management service that automatically scans Amazon EC2 instances and container images in Amazon Elastic Container Registry (ECR) for known vulnerabilities.

It does not require agent installation as it integrates directly with EC2 metadata and uses network-based scanning.

the aws kms get-key-rotation-status command returns a boolean value that indicates whetherautomatic rotation of the customer master key (CMK) is enabled1. This commandalsoshowsthe date and time when the CMK was last rotated2. The other options are not valid ways to check the CMK rotation status.

Option A is incorrect since you don't add a user to the IAM Role

Option C is incorrect since you don't assign multiple users to a policy

Option D is incorrect since this is not an ideal approach

An IAM group is used to collectively manage users who need the same set of permissions. By having groups, it becomes easier to manage permissions. So if you change the permissions on the group scale, it will affect all the users in that group

For more information on IAM Groups, just browse to the below URL:

https://docs.IAM.amazon.com/IAM/latest/UserGuide/id_eroups.html

The correct answer is: Use the IAM groups and add users, based upon their role, to different groups and apply the policy to group

Submit your Feedback/Queries to our Experts

You can use IAM CloudTrail to get a history of IAM API calls and related events for your account. This history includes calls made with the IAM Management Console, IAM Command Line Interface, IAM SDKs, and other IAM services.

Options A,B and D are invalid becau56se you need to ensure that you use the services of CloudTrail, IAM Config, IAM Credential Reports

For more information on Cloudtrail, please visit the below URL:

http://docs.IAM.amazon.com/IAMcloudtrail/latest/userguide/cloudtrail-user-guide.html

IAM Config is a service that enables you to assess, audit and evaluate the configurations of your IAM resources. Config continuously monitors and records your IAM resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. With Config, you can review changes in configurations and relationships between IAM resources, dive into detailed resource configuration histories, and determine your overall compliance against the configurations specified in your internal guidelines. This enables you to simplify compliance auditing, security analysis, char management and operational troubleshooting.

For more information on the config service, please visit the below URL

https://IAM.amazon.com/config/

You can generate and download a credential report that lists all users in your account and the status of their various credentials, including passwords, access keys, and MFA devices. You can get a credential report from the IAM Management Console, the IAM SDKs and Command Line Tools, or the IAM API.

For more information on Credentials Report, please visit the below URL:

http://docs.IAM.amazon.com/IAM/latest/UserGuide/id credentials_getting-report.html

The correct answer is: CloudTrail, IAM Config, IAM Credential Reports Submit your Feedback/Queries to our Experts

The correct answer is C. Change the Resource element to “arn:aws:s3:::DOC-EXAMPLE-BUCKET/*”.

The reason is that the Resource element in the bucket policy specifies which objects in the bucket are affected by the policy. In this case, the policy only applies to the bucket itself, not the objects inside it. Therefore, the Lambda function cannot access the objects with the s3:GetObject permission. To fix this, the Resource element should include a wildcard (*) to match all objects in the bucket. This way, the policy grants the Lambda function permission to read any object in the bucket.

The other options are incorrect for the following reasons:

A. Removing the Condition element would not help, because it only restricts access based on the source IP address of the request. The Principal element should not be changed to the Lambda function ARN, because it specifies who is allowed or denied access by the policy. The policy should allow access to any principal ("*") and rely on IAM roles or policies to control access to the Lambda function.

B. Changing the Action element to include s3:GetBucket* would not help, because it would grant additional permissions that are not needed by the Lambda function, such as s3:GetBucketAcl or s3:GetBucketPolicy. The s3:GetObject* permission is sufficient for reading objects in the bucket.

D. Changing the Resource element to the Lambda function ARN would not make sense, because it would mean that the policy applies to the Lambda function itself, not the bucket or its objects. The Principal element should not be changed to s3.amazonaws.com, because it would grant access to any AWS service that uses S3, not just Lambda.

This answer is correct because downloading the updated SAML metadata file from the identity service provider ensures that AWS has the latest information about the identity provider, including the new public key. Updating the file in the AWS identity provider entitydefined in IAM by using the AWS CLI allows AWS to verify the signature of the SAML assertions sent by the identity provider. This solution also minimizes operational overhead because it can be automated with a script or a cron job.

Utilizing CloudFront signed cookies is the simplest and most effective way to protect HLS video content for paying subscribers. Signed cookies provide access control for multiple files, such as video chunks in HLS streaming, without the need to generate a signed URL for each video chunk. This method simplifies the process for long video events with thousands of chunks, enhancing user experience while ensuring content protection.

The correct answer is A because GuardDuty can detect and alert on EC2 instance credential exfiltration events. These events indicate that the credentials obtained from the EC2 instance metadata service are being used from an IP address that is owned by a differentAWS account than the one that owns the instance1. GuardDuty can also provide details such as the source and destination IP addresses, the AWS account ID of the attacker, and the API calls made using the exfiltrated credentials2.

The other options are incorrect because they do not provide the information needed to determine if the credentials were used to access the company’s resources from an external account. Option B is incorrect because Audit Manager does not generate InstanceCredentialExfiltration events. Audit Manager is a service that helpsyou continuously audit your AWS usage to simplify how you assess risk and compliance with regulations and industry standards3. Option C is incorrect because CloudTrail logs do not show the account ID of the caller for GetSessionToken API calls to AWS STS. CloudTrail logs show the account ID of the identity whose credentials were used to call the API4. Option D is incorrect because CloudWatch logs do not show the GetSessionToken API calls to AWS STS by default. CloudWatch logs can show the API calls made by AWS Lambda functions, Amazon API Gateway, and other AWS services that integrate with CloudWatch5.

The correct answer is B. Use data key caching. Use the local cache that the AWS Encryption SDK provides with a caching cryptographic materials manager.

This answer is correct because data key caching can improve performance, reduce cost, and help the company stay within the service limits of AWS KMS. Data key caching stores data keys and related cryptographic material in a cache, and reuses them for encryption and decryption operations. This reduces the number of requests to AWS KMSendpoints and avoids throttling.The AWS Encryption SDK provides a local cache and a caching cryptographic materials manager (caching CMM) that interacts with the cache and enforces security thresholds that the company can set1.

The other options are incorrect because:

A. Using keyrings with the AWS Encryption SDK does not address the problem of throttling or cost optimization. Keyrings are used to generate, encrypt, and decrypt data keys, but they do not cache or reuse them.Using each keyring individually or combining them into a multi-keyring does not reduce the number of requests to AWS KMS endpoints2.

C. Using KMS key rotation does not address the problem of throttling or cost optimization. Key rotation is a security practice that creates new cryptographic material for a KMS key every year, but it does not affect the data that the KMS key protects.Key rotation does not reduce the number of requests to AWS KMS endpoints, and it might incur additional costs for storing multiple versions of key material3.

D. Using keyrings with the AWS Encryption SDK does not address the problem of throttling or cost optimization, as explained in option A. Moreover, using any of the wrapping keys in the multi-keyring to decrypt the data is not a valid option, because only one of the wrapping keys can decrypt a given data key.The wrapping key that encrypts a data key is stored in the encrypted data key structure, andonly that wrapping key can decrypt it4.

To configure end-to-end encryption between the Elastic Load Balancer and the EC2 instances with the least operational effort, the most appropriate solution would be to use Amazon issued AWS Certificate Manager (ACM) certificates on the EC2 instances and the Elastic Load Balancer to configure end-to-end encryption.

 AWS Certificate Manager - Amazon Web Services : Elastic Load Balancing - Amazon Web Services : Amazon Elastic Compute Cloud - Amazon Web Services : AWS Certificate Manager - Amazon Web Services

 This option suggests updating the outbound network ACL for the subnet in us-east-1b to explicitly deny all connections as the first rule, replacing the security group with a new one that only allows connections from a diagnostics security group, and launching a new EC2 instance with diagnostic tools to investigate the suspicious instance. This option will immediately mitigate the attack and provide the necessary tools for investigation.

AWS Cost Anomaly Detection:

AWS Cost Anomaly Detection monitors cost and usage trends in near real-time to detect unexpected spikes or patterns.

It can send alerts as soon as anomalies are detected, offering the earliest possible detection of cost increases.

Steps to Implement:

Create an anomaly detection monitor for the affected services or linked accounts.

Define a threshold for expected cost variations.

Set up an Amazon SNS topic to receive anomaly alerts.

Advantages:

Real-Time Monitoring: Provides near-instantaneous detection of cost anomalies.

Customizable Thresholds: Tailors detection sensitivity to the company’s needs.

Other Options:

Option A (EventBridge and Lambda) is complex and has delays in processing.

Option C (Cost Explorer) is manual and retrospective.

Option D (Flow Logs) detects network activity, but it cannot directly link to cost increases.

AWS Cost Anomaly Detection Documentation

Creating SNS Alerts for Cost Anomalies

Understand the Issue:

KMS grants are created using theCreateGrantoperation.

The grant might not propagate immediately for use, leading toAccessDeniedExceptionerrors.

Use Grant Tokens for Immediate Access:

When a grant is created, AWS KMS provides a grant token in the response.

This grant token can be used immediately, even before the grant is fully propagated.

Implement Solution:

Pass the grant token returned byCreateGrantto the users.

Ensure users include the grant token in their requests to encrypt data.

AWS KMS Grant Tokens Documentation

Troubleshooting KMS AccessDenied Errors

because these are the features that can address the CISO’s concerns about cryptographic wear-out and blast radius. Cryptographic wear-out is a phenomenon that occurs when a key is used too frequently or for too long, which increases the risk of compromise or degradation. Blast radius is a measure of how much damage a compromised key can cause to the encrypted data. S3 uses KMS to generate a unique data key for each individual object, which reduces both cryptographic wear-out and blast radius. The KMS encryption envelope digitally signs the master key during encryption, which prevents cryptographicwear-out by ensuring that only authorized parties can use the master key. The other options are either incorrect or irrelevant for addressing the CISO’s concerns.

For increased security while ensuring functionality, adjusting NACL3 to allow inbound traffic on port 5432 from the CIDR blocks of the application instance subnets, and allowing outbound traffic on ephemeral ports (1024-65536) back to those subnets creates a secure path for database access. Removing default allow-all rules enhances security by implementing the principle of least privilege, ensuring that only necessary traffic is permitted.

Understand the Risk:

Unauthorized users could stop or delete CloudTrail logging, creating a gap in audit trails.

Create a Service Control Policy (SCP):

Define an SCP at the root organizational unit (OU) level. The SCP should explicitly denyStopLoggingandDeleteTrailactions.

Example SCP:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Deny",

"Action": [

"cloudtrail:StopLogging",

"cloudtrail:DeleteTrail"

],

"Resource": "*"

}

]

}

Attach the SCP:

Attach the SCP to the root OU in AWS Organizations. This ensures the policy is enforced across all accounts within the organization.

Test and Verify:

Attempt to stop or delete a CloudTrail trail to ensure the SCP prevents these actions.

AWS CloudTrail Security Best Practices

Service Control Policies Documentation

The correct answer is D.

To stop the data exfiltration from the compromised EC2 instances, the security engineer needs to implement a solution that can deny access to any S3 bucket that is outside thecompany’s organization. The solution should also allow the EC2 instances to access the required S3 buckets within the company’s organization for the analysis process.

Option A is incorrect because updating the policy on the S3 gateway endpoint will not affect the access to S3 buckets that are outside the company’s organization. The S3 gateway endpoint only applies to S3 buckets that are in the same AWS Region as the VPC. The compromised EC2 instances can still access S3 buckets in other Regions or other AWS accounts through the internet gateway or NAT device.

Option B is incorrect because updating the policy on the instance profile role will not prevent the compromised EC2 instances from using other credentials or methods to access S3 buckets outside the company’s organization. The instance profile role only applies to requests that are made using the credentials of that role. The compromised EC2 instances can still use other IAM users, roles, or access keys to access S3 buckets outside the company’s organization.

Option C is incorrect because adding a network ACL rule to block outgoing connections on port 443 will also block legitimate connections to S3 buckets within the company’s organization. The network ACL rule will prevent the EC2 instances from accessing any S3 bucket through HTTPS, regardless of whether it is inside or outside the company’s organization.

Option D is correct because applying an SCP on the AWS account will effectively deny access to any S3 bucket that is outside the company’s organization. The SCP will apply to all IAM users, roles, and resources in the AWS account, regardless of how they access S3. The SCP will use the aws:ResourceOrgID and aws:PrincipalOrgID condition keys to check whether the S3 bucket and the principal belong to the same organization as the AWS account. If they do not match, the SCP will deny the S3 actions.

You can establish a private connection between your VPC and Secrets Manager by creating an interface VPC endpoint. Interface endpoints are powered by AWS PrivateLink, a technology that enables you to privately access Secrets Manager APIs without an internet gateway, NAT device, VPN connection, or AWS Direct Connect connection. Reference:https://docs.aws.amazon.com/secretsmanager/latest/userguide/vpc-endpoint-overview.html

The correct answer is D. Configure a Secrets Manager interface VPC endpoint. Include the Lambda function’s private subnet during the configuration process.

A Secrets Manager interface VPC endpoint is a private connection between the VPC and Secrets Manager that does not require an internet gateway, NAT device, VPN connection, or AWS Direct Connect connection1. By configuring a Secrets Manager interface VPC endpoint, the security engineer can enable the custom Lambda function to communicate with Secrets Manager without sending or receiving network traffic through the internet.The security engineer must include the Lambda function’s private subnet during the configuration process to allow the function to use the endpoint2.

The other options are incorrect for the following reasons:

A.An egress-only internet gateway is a VPC component that allows outbound communication over IPv6 from instances in the VPC to the internet, and prevents the internet from initiating an IPv6 connection with the instances3. However, this option does not meet the requirement that the VPC must not send or receive network traffic through the internet.Moreover, an egress-only internet gateway is for use with IPv6 traffic only, and Secrets Manager does not support IPv6 addresses2.

B.A NAT gateway is a VPC component that enables instances in a private subnet to connect to the internet or other AWS services, but prevents the internet from initiating connections with those instances4. However, this option does not meet therequirement that the VPC must not send or receive network traffic through the internet.Additionally, a NAT gateway requires an elasticIP address, which is a public IPv4 address4.

C.A VPC peering connection is a networking connection between two VPCs that enables you to route traffic between them using private IPv4 addresses or IPv6 addresses5. However, this option does not work because Secrets Manager does not have a default VPC that can be peered with.Furthermore, a VPC peering connection does not provide a private connection to Secrets Manager APIs without an internetgateway or other devices2.

Understand the Problem:

The EC2 instance profile role has the AWS managedReadOnlyAccesspolicy.

This policy does not include permissions forkms:Decrypt, which is required to decrypt the objects encrypted with a customer-managed KMS key.

Review S3 Bucket Policy and Object Permissions:

Verify that the S3 bucket policy allows access for the IAM role associated with the EC2 instance.

Ensure that there are no conflicting bucket or object ACLs.

Addkms:DecryptPermission:

Attach an inline policy to the EC2 instance IAM role.

This policy should grantkms:Decryptaccess for the specific KMS key used to encrypt the S3 objects.

Example Inline Policy:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Action": "kms:Decrypt",

"Resource": "arn:aws:kms:::key/"

}

]

}

Test the Configuration:

Attempt to read the file from the encrypted S3 bucket to ensure that the issue is resolved.

AWS KMS Key Policies and Permissions

IAM Permissions for Using AWS KMS Keys

To configure DNSSEC for a domain registered with Route 53, the most operationally efficient solution is to migrate the zone to Route 53 with DNSSEC signing enabled, create a key-signing key (KSK) that is based on an AWS Key Management Service (AWS KMS) customer managed key, and add a delegation signer (DS) record to the parent zone. This way, Route 53 handles the zone-signing key (ZSK) and the signing of the records in the hosted zone, and the customer only needs to manage the KSK in AWS KMS and provide the DS record to the domain registrar. Option A is incorrect because it does not involve migrating the zone to Route 53, which would simplify the DNSSEC configuration. Option B is incorrect because it creates both a ZSK and a KSK based on AWS KMS customer managed keys, which is unnecessary and less efficient than letting Route 53 manage the ZSK. Option C is incorrect because it does not involve migrating the zone to Route 53, and it requires running the dnssec-signzone command manually, which is less efficient than letting Route 53 sign the zone automatically.Verified References:

https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/domain-configure-dnssec.html

https://aws.amazon.com/about-aws/whats-new/2020/12/announcing-amazon-route-53-support-dnssec/

This answer is correct because creating a new AWS account with limited privileges would provide an isolated and secure backup destination for the EBS snapshots. Allowing the new account to access the AWS KMS key used to encrypt the EBS snapshots would enable cross-account snapshot sharing without requiring re-encryption. Copying the encrypted snapshots to the new account on a recurring basis would ensure that the backups are up-to-date and consistent.

Understanding the Problem:

Logs are encrypted with a KMS-managed key (SSE-KMS), and the security engineer can read digest files but not the log files.

This indicates that the issue lies in permissions related to decryption.

KMS Key Policy:

The key policy for the KMS-managed key must explicitly allow the security engineer’s IAM user or role thekms:Decryptpermission.

Example Key Policy:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Principal": {

"AWS": "arn:aws:iam:::user/"

},

"Action": "kms:Decrypt",

"Resource": "*"

}

]

}

Verify the IAM Role/Policy:

Ensure that no conflicting IAM policy denies thekms:Decryptaction for the security engineer’s user or role.

Enable Access to Encrypted Logs:

Update the KMS key policy to include permissions for reading and decrypting CloudTrail logs.

AWS KMS Key Policy Documentation

Server-Side Encryption with KMS for CloudTrail

To resolve the issue of the Lambda function failing to create the report while adhering to the principle of least privilege, follow these steps:

Identify Required Permissions:

Determine the specific AWS Security Hub and Amazon Inspector actions the Lambda function needs to perform.

Common actions include:

securityhub:Get*

securityhub:List*

securityhub:Batch*

securityhub:Describe*

Create a Custom IAM Policy:

In the AWS Management Console, navigate to the IAM service.

Create a new policy with permissions tailored to the Lambda function's needs.

Define the policy to allow the necessary actions on the specific Security Hub resource.

For example:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Action": [

"securityhub:Get*",

"securityhub:List*",

"securityhub:Batch*",

"securityhub:Describe*"

],

"Resource": "arn:aws:securityhub:us-west-2::product/aws/inspector"

}

]

}

This policy grants the Lambda function the necessary read-only permissions to interact with Security Hub and Amazon Inspector.

Attach the Policy to the Lambda Execution Role:

Identify the IAM role associated with your Lambda function.

Attach the newly created custom policy to this role.

This ensures the Lambda function has the required permissions when invoked.

Test the Lambda Function:

Invoke the Lambda function to verify it can successfully create the report without permission errors.

Monitor the function's execution to ensure it operates as expected.

Implement Least Privilege Principle:

Regularly review and adjust the permissions to ensure they remain aligned with the function's requirements.

Remove any unnecessary permissions to minimize security risks.

Defining Lambda function permissions with an execution role: This AWS documentation provides guidance on creating and managing execution roles for Lambda functions, emphasizing the importance of granting least privilege access.

AWS Documentation

Managing permissions in AWS Lambda: This resource offers insights into best practices for managing permissions, including the use of identity-based and resource-based policies to control access to Lambda resources.

AWS Documentation

Grant least privilege access: Part of the AWS Well-Architected Framework, this document discusses the principle of least privilege and provides strategies for implementing it effectively within AWS environments.

AWS Documentation

AWS managed policies for AWS Lambda: This page details the AWS managed policies available for Lambda, which can serve as a starting point for creating custom policies tailored to specific needs.

AWS Documentation

Applying the principles of least privilege in AWS Lambda: This guide explores how to apply the principle of least privilege in AWS Lambda functions, focusing on avoiding granting wildcard permissions in IAM policies.

Orchestra

By following these steps and utilizing the referenced AWS documentation, you can ensure that your Lambda function has the necessary permissions to create the report while adhering to the principle of least privilege.

To resolve the issues, the security engineer should make the following change to the policy:

In the statement block that contains the Sid “Allow use of the key”, under the “Condition” block, change the Kms:ViaService value to ec2.us-east-1.amazonaws.com. This allows the security engineer to restrict the use of the key to only EC2 service in the us-east-1 region, and prevent other services from using the key.

To meet the requirements of securing access management and implementing a centralized logging solution, the most secure solution would be to:

Install a bastion host in the management account.

Reconfigure all SSH and RDP to allow access only from the bastion host.

Install AWS Systems Manager Agent (SSM Agent) on the bastion host.

Attach the AmazonSSMManagedlnstanceCore role to the bastion host.

Configure session data streaming to Amazon CloudWatch Logs in a separate logging account to audit log data

This solution provides the following security benefits:

It uses AWS Systems Manager Session Manager instead of traditional SSH and RDP protocols, which provides a secure method for accessing EC2 instances without requiring inbound firewall rules or open ports.

It provides audit trails by configuring Session Manager logging to Amazon CloudWatch Logs and creating a separate logging account to audit the log data.

It uses the AWS Systems Manager Agent to automate common administrative tasks and improve the security posture of the instances.

The separate logging account with cross-account permissions provides better data separation and improves security posture.

https://aws.amazon.com/solutions/implementations/centralized-logging/

In an AWS environment where a VPC has no internet access and requires communication with AWS services such as Secrets Manager, the most secure method is to use an interface VPC endpoint (AWS PrivateLink). This allows private connectivity to services like Secrets Manager, enabling AWS Lambda functions and other resources within the VPC to access Secrets Manager without requiring an internet gateway, NAT gateway, or VPN connection. Interface VPC endpoints are powered by AWS PrivateLink, a technology that enables private connectivity between AWS services using Elastic Network Interfaces (ENI) with private IPs in your VPCs. This option is more secure than creating a NAT gateway because it doesn't expose the resources to the internet and adheres to the principle of least privilege by providing direct access to only the required service.

The correct answer is B. Create an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the third-party ticketing email system to the SNS topic. Create an Amazon EventBridge rule that includes an event pattern that matches High severity GuardDuty findings. Specify the SNS topic as the target for the Event-Bridge rule.

According to the AWS documentation1, you can use Amazon EventBridge to create rules that match events from GuardDuty and route them to targets such as Amazon SNS topics. You can use event patterns to filter events based on criteria such as severity, type, or resource. For example, you can create a rule that matches only High severity findings and sends them to an SNS topic that is subscribed by a third-party ticketing email system. This way, you can automate the creation of tickets for High severity findings and notify the security team.

Understanding Gateway VPC Endpoint:

A gateway VPC endpoint allows traffic from the VPC to specific AWS services (e.g., Amazon S3) without traversing the public internet.

Key Configuration Points to Verify:

The route table is correctly configured to send traffic for Amazon S3 through the gateway VPC endpoint.

IAM permissions and bucket policies are correct and allow access to the specific S3 bucket.

Verify the Endpoint Policy:

Check the VPC endpoint policy to ensure it allows access to the S3 bucket. The policy might be restricting access to certain buckets, prefixes, or IAM principals.

Example VPC Endpoint Policy:

{

"Version": "2012-10-17",

"Statement": [

{

"Effect": "Allow",

"Principal": "*",

"Action": "s3:*",

"Resource": [

"arn:aws:s3:::example-bucket",

"arn:aws:s3:::example-bucket/*"

]

}

]

}

Testing and Validation:

Modify the endpoint policy if required and test access again from the EC2 instance.

Gateway VPC Endpoints Documentation

VPC Endpoint Policies for Amazon S3

because these are the actions that can improve IAM account root user security. IAM account root user is a user that has complete access to all AWS resources and services in an account. IAM account root user security is a set of best practices that help protect the account root user from unauthorized oraccidental use. Deleting the access keys for the account root user in every account can help prevent programmatic access by the account root user, which reduces the risk of compromise or misuse. Enabling MFA on every account root user in all accounts can help add an extra layer of security for console access by requiring a verification code in addition to a password. Creating a custom IAM policy to limit permissions to required actions for the account root user and attaching the policy to the account root user can help enforce the principle of least privilege and restrict the account root user from performing unnecessary or dangerous actions. The other options are either invalid or ineffective for improving IAM account root user security.

CloudHSM allows full control of your keys such including Symmetric (AES), Asymmetric (RSA), Sha-256, SHA 512, Hash Based, Digital Signatures (RSA). On the other hand, AWS Key Management Service is a multi-tenant key storage that is owned and managed byAWS1.

Set Up AWS Client VPN:

Deploy a Client VPN endpoint in the region where the VPCs are located.

Authorization Rule:

Configure the VPN endpoint with authorization rules to allow access only to the specific VPC subnets that the consultant needs.

VPC Peering Consideration:

Ensure routing between the peered VPCs is correctly configured to allow traffic from the Client VPN endpoint.

Advantages:

Secure Access: Provides encrypted access to the VPCs.

Granular Control: Restricts access to only required resources.

AWS Client VPN Documentation

Authorization Rules for Client VPN

The most operationally efficient solution to implement a near-real-time monitoring and alerting solution that will notify administrators of security group violations is to use the restricted-ssh AWS Config managed rule that is invoked by security group configuration changes that are not compliant. This rule checks whether security groups that are in use have inbound rules that allow unrestricted SSH traffic. If a violation is detected, AWS Config can use the remediation feature to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic.

Option A is incorrect because creating a recurring Amazon Inspector assessment run that uses the Network Reachability package is not operationally efficient, as it requires setting up an assessment target and template, running the assessment every day, and invoking a Lambda function to retrieve and evaluate the assessment report. It also does not provide near-real-time monitoring and alerting, as it depends on the frequency and duration of the assessment run.

Option C is incorrect because configuring VPC Flow Logs for the VPC and specifying an Amazon CloudWatch Logs group is not operationally efficient, as it requires creating a log group and stream, enabling VPC Flow Logs for each subnet or network interface, and subscribing a Lambda function to parse and analyze the log entries. It also does not provide proactive monitoring and alerting, as it only detects successful connections on port 22 after they have occurred.

Option D is incorrect because creating a recurring Amazon Inspector assessment run that uses the Security Best Practices package is not operationally efficient, for the same reasons as option A. It also does not provide specific monitoring and alerting for security group violations, as it covers a broader range of security issues. References:

[AWS Config Rules]

[AWS Config Remediation]

[Amazon Inspector]

[VPC Flow Logs]

To meet the requirements of storing scanned copies of customer receipts on Amazon S3, where files will be between 100 KB and 5 MB in PDF format, each retail store must have a unique encryption key, and each object must be encrypted with a unique key, the most appropriate solution would be to create a dedicated AWS Key Management Service (AWS KMS) customer managed key for each retail store. Then, use the S3 Put operation to upload the objects to Amazon S3, specifying server-side encryption with AWS KMS keys (SSE-KMS) and the key ID of the store’s key.

To prevent unauthorized access to the EC2 instances, the security engineer should do the following:

Restrict SSH access in the security group to only known corporate IP addresses. This allows the security engineer to use a virtual firewall that controls inbound and outbound traffic for their EC2 instances, and limit SSH access to only trusted sources.

The following may be causing the problem for the Auditor:

A. The external ID used by the Auditor is missing or incorrect. This is a possible cause, because the external ID is a unique identifier that is used to establish a trust relationship between the accounts.The external ID must match the one that is specified in the role’s trust policy in the destination account1.

C. The Auditor has not been granted sts:AssumeRole for the role in the destination account. This is a possible cause, because sts:AssumeRole is the API action that allows the Auditor to assume the cross-account role and obtain temporary credentials.The Auditor must have an IAM policy that allows them to call sts:AssumeRole for the role ARN in the destination account2.

F. The role ARN used by the Auditor is missing or incorrect. This is a possible cause, because the role ARN is the Amazon Resource Name of the cross-account role that the Auditor wants to assume.The role ARN must be valid and exist in the destination account3.

To secure the images to limit their distribution, the company should take the following actions:

Update the S3 bucket policy to restrict access to a CloudFront origin access identity (OAI). This allows the company to use a special CloudFront user that can access objects in their S3 bucket, and prevent anyone else from accessing them directly.

Add a CloudFront geo restriction deny list of countries where the company lacks a license. This allows the company to use a feature that controls access to their content based on the geographic location of their viewers, and block requests from countries where they do not have a distribution license.

 To meet the requirement of rotating the AWS KMS customer managed key every year, the most appropriate solution would be to enable automatic key rotation annually for the existing customer managed key. This will ensure that AWS KMS generates new cryptographic material for the CMK every year. AWS KMS also saves the CMK’s older cryptographic material in perpetuity so it can be used to decrypt data that it encrypted. AWS KMS does not delete any rotated key material until you delete the CMK.

Comprehensive and Detailed Explanation From Exact Extract:

Amazon Inspector is an automated vulnerability management service that continuously scans Amazon EC2 instances for software vulnerabilities and unintended network exposure. It uses a combination of the EC2 instance’s metadata and installed packages to detect CVEs (Common Vulnerabilities and Exposures).

AWS Systems Manager Patch Manager automates the process of patching managed instances with both security-related and other types of updates. Together, these services provide detection and remediation capabilities, fulfilling both the detection and mitigation requirements.

This approach is directly aligned with AWS Security Specialty best practices for Infrastructure Security.

To set up AWS Security Hub for centralized security monitoring across all accounts in an AWS Organization with the least operational overhead, the best actions to take are:

Solution A: Configure a finding aggregation Region for Security Hub. This allows Security Hub to aggregate findings from multiple regions into a single designated region, simplifying monitoring and analysis. By centralizing findings, the security team can have a unified view of security alerts and compliance statuses across all accounts and regions, enhancing the efficiency of security operations.

Solution C: Turn on the option to automatically enable accounts for Security Hub within the AWS Organization. This ensures that as new accounts are created and added to the organization, they are automatically enrolled in Security Hub, and their findings are included in the centralized monitoring. This automation reduces the manual effort required to manage account enrollment and ensures comprehensive coverage of security monitoring across the organization.

These actions collectively ensure that Security Hub is effectively configured to manage security findings across all accounts and regions, providing a comprehensive and automated approach to security monitoring with minimal manual intervention.

Although you can use a IAM policy to prevent users launching resources in other regions. The best practice is to use SCP when using AWS organizations.https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scps_examples_general.html#example-scp-deny-region

Comprehensive and Detailed Explanation From Exact Extract:

SAML IdP logs help identify issues in the SSO assertion, such as user attribute mismatches.

CloudTrail provides visibility into whether the user even reached AWS services, allowing you to verify API call attempts and failures.

This combination provides fast, direct insight and is operationally efficient as it avoids unnecessary simulation or re-creation.

The AWS documentation states that you can add an outbound allow rule for 192.168.2.0/24 in subnet-2-NACL and add an outbound allow rule for 192.168.1.0/24 in subnet-2-NACL. This will allow the EC2 instances that are running in these two subnets to communicate again.

One can use the IAM Encryption CLI to encrypt the data before sending it across to the S3 bucket. Options A and C are invalid because this would still mean that data is transferred in plain text Option D is invalid because you cannot just enable client side encryption for the S3 bucket For more information on Encrypting and Decrypting data, please visit the below URL:

https://IAM.amazonxom/blogs/securirv/how4o-encrvpt-and-decrypt-your-data-with-the-IAM-encryption-cl

The correct answer is: Use the IAM Encryption CLI to encrypt the data first Submit your Feedback/Queries to our Experts

The correct answer is A. Configure an S3 Lifecycle rule on the S3 bucket to delete objects after 45 days.

The reason is that this is the simplest and most effective way to enforce the data retention policy.According to theAWS documentation1, “To manage your objects so that they are stored cost effectively throughout their lifecycle, configure their Amazon S3 Lifecycle. An S3 Lifecycle configuration is a set of rules that define actions that Amazon S3 applies to a group of objects.There are two types of actions: Transition actionsand Expiration actions.” The documentation1also states that “Expiration actions define when objects expire. Amazon S3 deletes expired objects on your behalf.” Therefore, by configuring an S3 Lifecycle rule on the S3 bucket to delete objects after 45 days, the security engineer can ensure that the data is removed from the S3 bucket according to the company’s policy.

The other options are incorrect because:

B. Create an AWS Lambda function to check the last-modified date of the S3 objects and delete objects that are older than 45 days. Create an S3 event notification to invoke the Lambda function for each PutObject operation. This option is not optimal because it requires deploying and maintaining a Lambda function, which adds complexity and cost. Moreover, it does not guarantee that the data is deleted exactly after 45 days, since the Lambda function is triggered only when a new object is put into the S3 bucket. If there are no new objects for a long period of time, the Lambda function will not run and the data will not be deleted.

C. Create an AWS Lambda function to check the last-modified date of the S3 objects and delete objects that are older than 45 days. Create an Amazon EventBridge rule to invoke the Lambda function each month. This option is not optimal because it requires deploying and maintaining a Lambda function, which adds complexity and cost. Moreover, it does not guarantee that the data is deleted exactly after 45 days, since the Lambda function is triggered only once a month. If the data is older than 45 days but less than a month, it will not be deleted until the next month.

D. Configure S3 Intelligent-Tiering on the S3 bucket to automatically transition objects to another storage class. This option is not sufficient to enforce the data retention policy, because it does not delete the data from the S3 bucket. It only moves the data to a less expensive storage class based on access patterns.According to the AWS documentation2, “S3 Intelligent-Tiering optimizes storage costs by automatically moving data between two access tiers, frequent access and infrequent access, when access patterns change.” However, this feature does not expire or delete the data after a certain period of time.

Comprehensive and Detailed Explanation From Exact Extract:

To mitigate traffic volume from a specific IP address without entirely blocking it, AWS WAF’s rate-based rules are the appropriate solution. AWS WAF (Web Application Firewall) provides rate-based rules that allow a user to count and limit the rate of requests from individual IP addresses.

A rate-based rule tracks the number of requests that each originating IP makes in a rolling five-minute period. If the number of requests exceeds a specified threshold, WAF applies an action such as block or count.

This makes AWS WAF an ideal tool to throttle traffic rather than block it, which directly meets the use case described.

Reference from AWS Certified Security - Specialty Official Guide:

This capability is part of AWS WAF’s standard feature set, explicitly covered under the topics of Logging and Monitoring and Mitigating DDoS and Abnormal Behavior. Rate-based rules are discussed as a method for limiting the number of incoming requests based on request patterns without denying access outright.

Storing sensitive information in environment variables is not a secure practice, as anyone who has access to the Lambda console or the Lambda function code can view them asplaintext. To address this security issue, the security engineer needs to use a service that can store and encrypt the environment variables, and access them at runtime using IAM permissions. The most cost-effective way to do this is to use AWS Systems Manager Parameter Store, which is a service that provides secure, hierarchical storage for configuration data management and secrets management. Parameter Store allows you to store values as standard parameters (plaintext) or secure string parameters (encrypted). Secure string parameters use a AWS Key Management Service (AWS KMS) customer master key (CMK) to encrypt the parameter value. To access the parameter value at runtime, the Lambda function needs to have IAM permissions to decrypt the parameter using the KMS CMK.

The other options are incorrect because:

Option A is incorrect because setting up IAM policies from the Lambda console to hide access to the environment variables will not prevent someone who has access to the Lambda function code from viewing them as plaintext. IAM policies can only control who can perform actions on AWS resources, not what they can see in the code or the console.

Option B is incorrect because using AWS Step Functions to store the environment variables is not a secure or cost-effective solution. AWS Step Functions is a service that lets you coordinate multiple AWS services into serverless workflows. Step Functions does not provide any encryption or secrets management capabilities, and it will incur additional charges for each state transition in the workflow. Moreover, storing environment variables in Step Functions will make them visible in the execution history of the workflow, which can be accessed by anyone who has permission to view the Step Functions console or API.

Option C is incorrect because storing the environment variables in AWS Secrets Manager and accessing them at runtime is not a cost-effective solution. AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. Secrets Manager enables you to rotate, manage, and retrieve secrets throughout their lifecycle. While Secrets Manager can securely store and encrypt environment variables using KMS CMKs, it will incur higher charges than Parameter Store for storing and retrieving secrets. Unless the security engineer needs the advanced features of Secrets Manager, such as automatic rotation of secrets or integration with other AWS services, Parameter Store is a cheaper and simpler option.

"If you copy an encrypted snapshot across Regions, you must specify a KMS key valid in the destination AWS Region. It can be a Region-specific KMS key, or a multi-Region key."https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-copy-snapshot.html#aurora-copy-snapshot.Encryption

To protect the sensitive data against any data breach and minimize management overhead, the security engineer should recommend the following solution:

Enable Amazon RDS encryption to encrypt the database and snapshots. This allows the security engineer to use AWS Key Management Service (AWS KMS) to encrypt data at rest for the database and any backups or replicas.

Enable Amazon Elastic Block Store (Amazon EBS) encryption on Amazon EC2 instances. This allows the security engineer to use AWS KMS to encrypt data at rest for the EC2 instances and any snapshots or volumes.

Store the database credentials in AWS Secrets Manager with automatic rotation. This allows the security engineer to encrypt and manage secrets centrally, and to configure automatic rotation schedules for them.

Set up TLS for the connection to the RDS hosted database. This allows the security engineer to encrypt data in transit between the EC2 instances and the database.

Comprehensive and Detailed Explanation From Exact Extract:

A. IAM Access Analyzer helps track and evaluate which resources were accessed and by which principals, aiding in investigating the blast radius.

B. Deactivating the access key is the first and most critical step to immediately prevent further usage of the compromised credentials.

This is consistent with AWS incident response playbooks, which emphasize immediate revocation and impact analysis.

Amazon CloudWatch monitoring is a service that collects and tracksmetrics fromAWS resources and applications, and provides visualization tools and alarms to monitor performance and availability1. The health status data in format can be sent to CloudWatch as custom metrics2, and then displayed in CloudWatch dashboards3. The other options are either inefficient or insecure for monitoring application availability in near-real time.

The correct answer is C. Configure Route 53 Resolver query logging on all relevant VPCs. Send the logs to Amazon CloudWatch Logs. Use CloudWatch Insights to run queries on the source IP address and DNS name.

According to the AWS documentation1, Route 53 Resolver query logging lets you log the DNS queries that Route 53 Resolver handles for your VPCs. You can send the logs to CloudWatch Logs, Amazon S3, or Kinesis Data Firehose. The logs include information such as the following:

The AWS Region where the VPC was created

The ID of the VPC that the query originated from

The IP address of the instance that the query originated from

The instance ID of the resource that the query originated from

The date and time that the query was first made

The DNS name requested (such as prod.example.com)

The DNS record type (such as A or AAAA)

The DNS response code, such as NoError or ServFail

The DNS response data, such as the IP address that is returned in response to the DNS query

You can use CloudWatch Insights to run queries on your log data and analyze the results using graphs and statistics2. You can filter and aggregate the log data based on any field, and use operators and functions to perform calculations and transformations. For example, you can use CloudWatch Insights to find out how many queries were made for a specific domain name, or which instances made the most queries.

Therefore, this solution meets the requirements of logging and querying DNS traffic that goes to the on-premises DNS servers, showing details of the source IP address of the instance from which the query originated, and the DNS name that was requested in Route 53 Resolver.

The other options are incorrect because:

A.Using VPC Traffic Mirroring would not capture the DNS queries that go to the on-premises DNS servers, because Traffic Mirroring only copies network traffic from an elastic network interface of an EC2 instance to a target for analysis3.Traffic Mirroring does not include traffic that goes through a Route 53 Resolver outbound endpoint, which is used to forward queries to on-premises DNS servers4.Therefore, this solution would not meet the requirements.

B.Configuring VPC flow logs on all relevant VPCs would not capture the DNS name that was requested in Route 53 Resolver, because flow logs only record information about the IP traffic going to and from network interfaces in a VPC5. Flow logs do not include any information about the content or payload of a packet, such as a DNS query or response.Therefore, this solution would not meet the requirements.

D.Modifying the Route 53 Resolver rules on the authoritative domains that forward to the on-premises DNS servers would not enable logging of DNS queries, because Resolver rules only specify how to forward queries for specified domain names to your network6. Resolver rules do not have any logging functionality by themselves.Therefore, this solution would not meet the requirements.

To prevent users from directly accessing an Application Load Balancer and allow access only through CloudFront, complete these high-level steps: Configure CloudFront to add a custom HTTP header to requests that it sends to the Application Load Balancer. Configure the Application Load Balancer to only forward requests that contain the custom HTTP header. (Optional) Require HTTPS to improve the security of this solution.https://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/restrict-access-to-load-balancer.html

The correct answer is C. The GuardDuty integration with Security Hub was never activated in the AWS account where the finding was generated.

The reason is that Security Hub does not automatically receive findings from GuardDuty unless the integration is activated in each AWS account.According to the AWS documentation1, “The Amazon GuardDuty integration with Security Hub enables you to send findings from GuardDuty to Security Hub. Security Hub can then include those findings in its analysis of your security posture.” However, this integration is not enabled by default and requires manual activation in each AWS account.The documentation1also states that “You must activate the integration in each AWS account that you want to send findings from GuardDuty to Security Hub.”

Therefore, even though the company has configured the security tooling account as the delegated administrator for GuardDuty and Security Hub, and has enabled these services for existing and new AWS accounts, it still needs to activate the GuardDuty integration with Security Hub in each account. Otherwise, the findings from GuardDuty will not be sent to Security Hub and will not be visible in the delegated administrator account.

The other options are incorrect because:

A. VPC flow logs are not required for GuardDuty to generate DNS findings. GuardDuty uses VPC flow logs as one of the data sources for network connection findings, but not for DNS findings.According to the AWS documentation2, “GuardDuty uses VPC Flow Logs as a data source for network connection findings.”

B. The VPC DHCP option configured for a custom OpenDNS resolver does not affect GuardDuty’s ability to generate DNS findings. GuardDuty uses DNS logs as one of the data sources for DNS findings, regardless of the DNS resolver used by the VPC.According to the AWS documentation2, “GuardDuty uses DNS logs as a data source for DNS activity findings.”

D. Cross-Region aggregation in Security Hub is not relevant for this scenario, since the company operates out of a single AWS Region. Cross-Region aggregation in Security Hub allows you to aggregate security findings from multiple Regions into a single Region, where you can view and manage them. However, this feature is not needed if the company only uses one Region.According to the AWS documentation3, “Cross-Region aggregation enables you to aggregate security findings from multiple Regions into a single Region.”

The AWS documentation states that you can use the awslogs log driver to send log information to CloudWatch Logs. To use this method, you specify the parameters for awslogs-group and awslogs-region in the LogConfiguration property of the container definition. This method is the easiest way to send logs to CloudWatch Logs.

Comprehensive and Detailed Explanation From Exact Extract:

AWS Backup supports cross-Region backup copy to another backup vault in a different AWS Region. This is the simplest and most operationally efficient method to meet the requirement of geographic redundancy (i.e., data centers several hundred miles apart).

No custom scripting, Lambda, or EventBridge scheduling is required, minimizing operational overhead and aligning with Data Protection and Disaster Recovery best practices.

To implement the solution, the security engineer should do the following:

Assign an Elastic IP address to Amazon EFS and add the Elastic IP address to the allow list for the data center firewall. This allows the security engineer to use a specific IP address for the EFS file system that can be added to the firewall rules, instead of a CIDR range or a URL.

Install the AWS CLI on the data center-based servers to mount the EFS file system. This allows the security engineer to use the mount helper provided by AWS CLI to mount the EFS file system with encryption in transit.

In the EFS security group, add the IP addresses of the data center servers to the allow list. This allows the security engineer to restrict access to the EFS file system to only certain data center-based servers.

Mount the EFS using the Elastic IP address. This allows the security engineer to use the Elastic IP address as the DNS name for mounting the EFS file system.

The correct answer is B and E. To troubleshoot the issue, the security engineer should verify that the SQS resource policy does not explicitly deny access to the role used by the instances, and that the role attached to the instances contains policies that allow access to the queue. These actions will ensure that the instances have the necessary permissions to retrieve messages from Amazon SQS, while maintaining the principle of least privilege.

The other options are incorrect because they are either unnecessary or overly permissive. Option A is incorrect because configuring and assigning an MFA device to the role used by the instances is not required to access Amazon SQS. MFA is an optional security feature that adds an extra layer ofprotection on top of the user name and password1. Option C is incorrect because verifying that the access key attached to the role used by the instances is active is not relevant to the issue. Access keys are used to make programmatic requests to AWS services, not to retrieve messages from Amazon SQS2. Option D is incorrect because attaching the AmazonSQSFullAccess managed policy to the role used by the instances is overly permissive and violates the principle of least privilege. This policy grants full access to all Amazon SQS actions and resources, which may expose the instances to unnecessary risks3.

The correct answer is B because it checks the configuration of the CloudWatch alarm that is supposed to monitor the CloudTrail log events. The analyst should verify that a metric filter was created to extract the relevant information from the log events, such as the event name, source, and user identity. The analyst should also verify that the metric filter wasmapped to an alarm that triggers when a certain threshold is reached, and that the alarm notification action is set up correctly to send alerts to the analyst1.

The other options are incorrect because they do not address the issue of the CloudWatch alarm not working as expected. Option A is incorrect because CloudTrail and S3 bucket access logging are not related to the monitoring of security group changes. CloudTrail logs the API calls made to AWS services, and S3 bucket access logging records the requestsmade to thebucket2. OptionC is incorrect because CloudWatch dashboards are used to display metrics and alarms in a graphical way, but they do not affect the functionality of the alarm3. Option D is incorrect because the IAM policy permissions for cloudwatch:GetMetricStatistics and cloudwatch:ListMetrics are not required to monitor the CloudTrail log events. These permissions are used to retrieve the statistics and list of metrics for a given namespace4.

To receive near-real-time notifications of AWS account root user sign-ins, the most effective solutions involve the use of AWS CloudTrail logs, Amazon CloudWatch Logs, and Amazon EventBridge.

Solution Cinvolves configuring AWS CloudTrail to send logs to Amazon CloudWatch Logs and then setting up a CloudWatch Logs metric filter to detect successful root account logins. When such logins are detected, a CloudWatch alarm can be configured to trigger and notify an Amazon Simple Notification Service (Amazon SNS) topic, which in turn can send notifications to the required endpoints. This solution provides an efficient way to monitor and alert on root account usage without requiring custom parsing or handling of log data.

Solution Euses Amazon EventBridge to monitor for specific AWS API calls, such asSignInevents that indicate a successful root account login. By configuring an EventBridge rule to trigger on these events, notifications can be sent directly to an SNS topic, which then distributes the alerts to the necessary endpoints. This approachleverages native AWS event patterns and provides a streamlined mechanism for detecting and alerting on root account activity.

Both solutions offer automation, scalability, and the ability to integrate with other AWS services, ensuring that stakeholders are promptly alerted to critical security events involving the root user.

Comprehensive Detailed Explanation with all AWS References

To provide a single management portal for access and integrate with an external IdP for SSO,AWS IAM Identity Center(formerly AWS Single Sign-On) is the best solution:

AWS IAM Identity Center:

IAM Identity Center enables centralized management of access to AWS accounts within an organization.

Supports external IdPs (e.g., Okta, Azure AD) using SAML 2.0 for workforce SSO.

Utilizing AWS Config with a custom AWS Config rule (ec2-managedinstance-applications-required) enables detection of EC2 instances lacking the required software across all accounts in an organization. By creating an Amazon EventBridge rule that triggers on AWS Config events, and configuring it to invoke an AWS Lambda function, automated actions can be taken to ensure compliance. The Lambda function can leverage AWS Systems Manager Run Command to install the necessary software on non-compliant instances. This approach ensures continuous compliance and automated remediation, aligning with best practices for cloud security and management.

The AWS documentation states that you can create an Amazon EventBridge rule to detect KMS API calls of DisableKey and ScheduleKeyDeletion. You can then create an AWS Lambda function to send an Amazon Simple Notification Service (Amazon SNS) message to the company. You can add the Lambda function as the target of the EventBridge rule. This method will meet the requirements.

the reason why there were no alerts on the sudo commands. Sudo commands are commands that allow a user to execute commands as another user, usually the superuser or root. CloudWatch Logs agent is a software agent that can send log data from an EC2 instance to CloudWatch Logs, a service that monitors and stores log data. The CloudWatch Logs agent needs an IAM instance profile, which is a container for an IAM role that allows applications running on an EC2 instance to make API requests to AWS services. If the IAM instance profile on the EC2 instance was not properly configured to allow the CloudWatch Logs agent to push the logs to CloudWatch, then there would be no alerts on the sudo commands. The other options are either irrelevant or invalid for explaining why there were no alerts on the sudo commands.

To ensure that application content is accessible only through CloudFront and not directly, the security engineer should do the following:

Add an origin custom header. This is a header that CloudFront adds to the requests that it sends to the origin, but viewers cannot see or modify.

Set the viewer protocol policy to redirect HTTP to HTTPS. This ensures that the viewers always use HTTPS when they access the website through CloudFront.

Set the origin protocol policy to HTTPS only. This ensures that CloudFront always uses HTTPS when it connects to the origin.

Update the application to validate the CloudFront custom header. This means that the application checks if the request has the custom header and only responds if it does. Otherwise, it denies or ignores the request. This prevents users from bypassing CloudFront and accessing the content directly on the origin.

A bucket policy is a resource-based policy that defines permissions for a specific S3 bucket. It can be used to grant cross-account access to another AWS account or an IAM user or role in another account. A bucket policy can also specify which actions, resources, and conditions are allowed or denied.

A bucket ACL is an access control list that grants basic read or write permissions to predefined groups of users. It cannot be used to grant cross-account access to a specific IAM user or role in another account.

An object ACL is an access control list that grants basic read or write permissions to predefined groups of users for a specific object in an S3 bucket. It cannot be used to grant cross-account access to a specific IAM user or role in another account.

A user policy is an IAM policy that defines permissions for an IAM user or role in the same account. It cannot be used to grant cross-account access to another AWS account or an IAM user or role in another account.

For more information, see Provide cross-account access to objects in Amazon S3 buckets and Example 2: Bucket owner granting cross-account bucket permissions.

To enable S3 Cross-Region Replication (CRR) for objects that are encrypted with SSE-KMS, the following steps are required:

Grant the IAM role the kms.Decrypt permission for the key in us-east-1 that encrypts source objects. This will allow the IAM role to decrypt the source objects before replicating them to the destination bucket. The kms.Decrypt permission must be granted in the key policy of the source KMS key or in an IAM policy attached to the IAM role.

Grant the IAM role the kms.Encrypt permission for the key in us-west-2 that encrypts objects that are in the destination S3 bucket. This will allow the IAM role to encrypt the replica objects with the destination KMS key before storing them in the destination bucket. The kms.Encrypt permission must be granted in the key policy of the destination KMS key or in an IAM policy attached to the IAM role.

This solution will remediate the issue of encrypted objects not being replicated to the destination bucket.

The other options are incorrect because they either do not grant the necessary permissions for CRR (A, C, D), or do not use a valid encryption method for CRR (E).

Verified References:

https://docs.aws.amazon.com/AmazonS3/latest/userguide/replication-config-for-kms-objects.html

AWS KMS supports asymmetric KMS keys that represent a mathematically related RSA, elliptic curve (ECC), or SM2 (China Regions only) public and private key pair. These key pairs are generated in AWS KMS hardware security modules certified under the FIPS 140-2 Cryptographic Module Validation Program, except in the China (Beijing) and China (Ningxia) Regions. The private key never leaves the AWS KMS HSMs unencrypted.https://docs.aws.amazon.com/kms/latest/developerguide/symmetric-asymmetric.html

https://aws.amazon.com/blogs/security/automatically-block-suspicious-traffic-with-aws-network-firewall-and-amazon-guardduty/

Comprehensive and Detailed Explanation From Exact Extract:

KMS grants are lightweight and efficient tools designed specifically for programmatic, temporary, or high-volume delegation of KMS key usage. They are ideal when access needs to be rotated or updated frequently—such as weekly changes in vendors.

KMS grants allow you to control access without changing the key policy itself. They can be easily created and revoked programmatically, which minimizes operational overhead compared to editing key or IAM policies.

This approach aligns with Identity and Access Management best practices in the AWS Certified Security – Specialty study guide for scalable cross-account key access management.

The AWS documentation states that you can deploy the Lambda functions inside the VPC and attach a security group to the Lambda functions. You can then provide outbound rule access to the VPC CIDR range only and update the DB instance security group to allow traffic from the Lambda security group. This method is the most secure way to meet the requirements.

The condition of "s3:x-amz-server-side-encryption":"IAM:kms" ensures that objects uploaded need to be encrypted.

Options B,C and D are invalid because you have to ensure the condition of ns3:x-amz-server-side-encryption":"IAM:kms" is present

the most scalable solution for accessing the IAM infrastructure in a multi-account strategy. A multi-account strategy is a way of organizing your AWS resources into multiple IAM accounts for security, billing, and management purposes. Federation is a process that allows users to access AWS resources using credentials from an external identity provider such as Active Directory or SAML. IAM roles are sets of permissions that grant access to AWS resources. Cross-account roles are IAM roles that allow users in one account to access resources in another account. By using a centralized account with IAM roles that employees can assume through federation with their existing identity provider, you can simplify and streamline the access management process. By using cross-account roles to allow the federated users to assume their target role in the resource accounts, you can enable granular and flexible access control across multiple accounts. The other options are either less scalable or less secure for accessing the IAM infrastructure in a multi-account strategy.

The correct answer is C. Use AWS Resource Access Manager (AWS RAM) to share Account-A’s VPC subnets with the remaining member accounts. Configure the member accounts to use the shared subnets to launch workloads.

This answer is correct because AWS RAM is a service that helps you securely share your AWS resources across AWS accounts, within your organization or organizational units (OUs), and with IAM roles and users for supported resource types1.One of the supported resource types is VPC subnets2, which means you can share the subnets in Account-A’s VPC with the other member accounts using AWS RAM. This way, you can meet the requirements of using a centrally managed VPC, avoiding duplicate VPCs in each account, and launching workloads in shared subnets.You can also control the access to the shared subnets by using IAM policies and resource-based policies3, which can prevent one account from modifying another account’s resources.

The other options are incorrect because:

A.Using aCloudFormation template in the member accounts to launch workloads and using the Fn::ImportValue function to obtain the subnet ID values is not a solution, because Fn::ImportValue can only import values that have been exported by another stack within the same region4. This means that you cannot use Fn::ImportValue to reference the subnet IDs that are exported by Account-A’s CloudFormation template, unless all the member accounts are in the same region as Account-A. This option also does not avoid creating duplicate VPCs in each account, which is one of the requirements.

B. Using a transit gateway in the VPC within Account-A and configuring the member accounts to use the transit gateway to access the subnets in Account-A to launch workloads is not a solution, because a transit gateway does not allow you to launch workloads in another account’s subnets.A transit gateway is a network transit hub that enables you to route traffic between your VPCs and on-premises networks5, but it does not enable you to share subnets across accounts.

D. Creating a peering connection between Account-A and the remaining member accounts and configuring the member accounts to use the subnets in Account-A through the VPC peering connection to launch workloads is not a solution, because a VPC peering connection does not allow you to launch workloads in another account’s subnets.A VPC peering connection is a networking connection betweentwo VPCs that enables you to route traffic between them privately6, but it does not enable you to share subnets across accounts.

Comprehensive and Detailed Explanation From Exact Extract:

The requirement is to remediate both existing and future noncompliant S3 buckets across multiple accounts and Regions in an AWS Organizations structure.

AWS Config Aggregator with organization-wide aggregation ensures that all accounts and Regions are continuously monitored for compliance.

By integrating a Lambda function with AWS Config rules, you can automatically remediate noncompliant resources (e.g., by applying encryption settings or blocking public access).

This solution provides both visibility and automated enforcement across the entire organization.

Options using SCPs (B and D) only prevent future actions and do not remediate existing noncompliant resources. Furthermore, scoping the aggregator to only some accounts/Regions (as in C and D) fails to meet the requirement for organization-wide remediation.

This approach aligns with Data Protection and Governance best practices in the AWS Certified Security – Specialty guidelines.

The correct answer is D. Change the existing CloudTrail trail so that it applies to all Regions.

According to the AWS documentation1, you can configure CloudTrail to deliver log files from multiple Regions to a single S3 bucket for a single account.To change an existing single-Region trail to log in all Regions, you must use the AWS CLI and add the --is-multi-region-trail option to the update-trail command2. This will ensure that you log global service events and capture all management event activity in your account.

Option A is incorrect because creating a new CloudTrail trail for each Region will incur additional costs and increase operational overhead. Option B is incorrect because changing the S3 bucket to receive notifications will not affect the delivery of log files from other Regions. Option C is incorrect because creating a new CloudTrail trail that applies to all Regions will result in duplicate log files for the original Region and also incur additional costs.

The reason is that this solution will meet the requirements of collecting, reviewing, and managing the evidence from both on-premises and AWS resources to demonstrate compliance with company policy. According to the web search results12, “AWS Audit Manager helps you continuously audit your AWS usage to simplify how you manage risk and compliance with regulations and industry standards. AWS Audit Manager makes it easier to evaluate whether your policies, procedures, and activities—also known as controls—are operating as intended.” The results1 also state that “In addition to the evidence that Audit Manager collects from your AWS environment, you can also upload and centrally manage evidence from your on-premises or multicloud environment.” Therefore, by creating an assessment in AWS Audit Manager, the security engineer can use a prebuilt or custom framework that contains the relevant controls for the company policy, upload manual evidence from the on-premises workloads, and add the evidence to the assessment. After Audit Manager collects the necessary evidence from the AWS resources, the security engineer can generate an assessment report that includes all the evidence from both sources.

The other options are incorrect because:

B. Install the Amazon CloudWatch agent on the on-premises workloads. Use AWS Config to deploy a conformance pack from a sample conformance pack template or a custom YAML template. Generate an assessment report after AWS Config identifies noncompliant workloads and resources. This option is not sufficient to meet the requirements, because it does not collect or manage the evidence from both sources. It only monitors and evaluates the configuration compliance of theworkloads and resources using AWS Config rules. According to the web search results3, “A conformance pack is a collection of AWS Config rules and remediation actions that can be easily deployed as a single entity in an account and a Region or across an organization in AWS Organizations.” However, a conformance pack does not provide a way to upload or include manual evidence from the on-premises workloads, nor does it generate an assessment report that contains all the evidence.

C. Set up the appropriate security standard in AWS Security Hub. Upload manual evidence from the on-premises workloads. Wait for Security Hub to collect the evidence from the AWS resources. Download the list of controls as a .csv file. This option is not optimal to meet the requirements, because it does not provide a comprehensive or audit-ready report that contains all the evidence. It only provides a list of controls and their compliance status in a .csv file format. According to the web search results4, “Security Hub provides you with a comprehensive view of your security state within AWS and helps you check your environment against security industry standards and best practices.” However, Security Hub does not provide a way to upload or include manual evidence from the on-premises workloads, nor does it generate an assessment report that contains all the evidence.

D. Install the Amazon CloudWatch agent on the on-premises workloads. Create a CloudWatch dashboard to monitor the on-premises workloads and the AWS resources. Run a query on the workloads and resources. Download the results. This option is not sufficient to meet the requirements, because it does not collect or manage the evidence from both sources. It only monitors and analyzes the metrics and logs of the workloads and resources using CloudWatch. According to the web search results, “Amazon CloudWatch is a monitoring and observability service built for DevOps engineers, developers, site reliability engineers (SREs), and IT managers.” However, CloudWatch does not provide a way to upload or include manual evidence from the on-premises workloads, nor does it generate an assessment report that contains all the evidence.

To allow a Lambda function in one AWS account to access a KMS customer managed key in another AWS account, the following steps are required:

Configure the key policy for the customer managed key in the production account to allow access to the IAM role of the Lambda function in the development account. A key policy is a resource-based policy that defines who can use or manage a KMS key. To grant cross-account access to a KMS key, you must specify the AWS account ID and the IAM role ARN of the external principal in the key policy statement. For more information, see Allowing users in other accounts to use a KMS key.

Configure the IAM role for the Lambda function in the development account by attaching an IAM policy that allows access to the customer managed key in the production account. An IAM policy is an identity-based policy that defines what actions an IAM entity can perform on which resources. To allow an IAM role to use a KMS key in another account, you must specify the KMS key ARN and the kms:Encrypt action (or any other action that requires access to the KMS key) in the IAM policy statement. For more information, see Using IAM policies with AWS KMS.

This solution will meet the requirements of allowing secure access to a KMS customermanaged key across AWS accounts.

The other options are incorrect because they either do not grant cross-account access to the KMS key (A, C), or do not use a valid policy type for KMS keys (D).

Verified References:

https://docs.aws.amazon.com/kms/latest/developerguide/key-policy-modifying-external-accounts.html

https://docs.aws.amazon.com/kms/latest/developerguide/iam-policies.html

Comprehensive and Detailed Explanation From Exact Extract:

GuardDuty can trigger an EventBridge rule upon detecting a suspicious finding (e.g., unusual traffic volume). Using Lambda, the automation can:

Remove the affected instance from the Auto Scaling group to prevent it from being terminated and replaced.

Isolate the instance by applying a restrictive security group.

This approach aligns with AWS incident response best practices, which recommend isolation over termination to preserve forensic data while minimizing disruption to the application.

Comprehensive and Detailed Explanation From Exact Extract:

Amazon EventBridge can directly monitor CloudTrail events, including root login attempts. By creating an EventBridge rule to trigger on a root sign-in event (ConsoleLogin with userIdentity.type as Root), you can immediately send alerts to SNS, fulfilling the requirement for real-time notifications.

This solution is low-maintenance and efficient, following best practices in real-time security event monitoring under the Logging and Monitoring domain.

Understand IMDSv2 Metrics:

IMDSv2 adds a layer of security to EC2 instance metadata by requiring a session token.

TheEC2MetadataNoTokenCloudWatch metric tracks the number of calls to IMDSv1.

Enable the IMDS Metrics:

Ensure that the EC2 instances have theDetailed Monitoringfeature enabled to publish metrics to CloudWatch.

Create a CloudWatch Dashboard:

In the CloudWatch console, create a dashboard that displays theEC2MetadataNoTokenmetric for all instances.

Verify Zero Value:

Monitor theEC2MetadataNoTokenmetric. If the value is zero for all instances, it confirms that IMDSv1 is no longer in use.

Secure Access and Validation:

Regularly monitor the dashboard to ensure no instance reverts to using IMDSv1.

Instance Metadata Service (IMDS) Documentation

CloudWatch Metrics for EC2 Instances

AWS Security Best Practices for Metadata Service

Enable Amazon Macie:

Amazon Macie automatically scans S3 buckets for sensitive data, such as PII, and uses managed data identifiers for efficient classification.

Configure Data Identifiers:

Use managed data identifiers for pre-configured sensitive data patterns like credit card numbers, personal information, etc.

Set Up Notifications:

Create an Amazon EventBridge rule to trigger on Macie findings.

Configure the rule to send notifications to the existing SNS topic.

Advantages:

Automated: Minimal manual intervention needed.

Efficient: Leverages Macie’s built-in capabilities to reduce implementation effort.

Amazon Macie Documentation

EventBridge Rules for Macie

To assess the impact of the exposed access key, the security engineer should recommend the following solution:

Analyze an IAM use report from AWS Trusted Advisor to see when the access key was last used. This allows the security engineer to use a tool that provides information about IAM entities and credentials in their account, and check if there was any unauthorized activity with the exposed access key.

The IAM Documentation mentions the following

To determine whether a log file was modified, deleted, or unchanged after CloudTrail delivered it you can use CloudTrail log file integrity validation. This feature is built using industry standard algorithms: SHA-256 for hashing and SHA-256 with RSA for digital signing. This makes it computationally infeasible to modify, delete or forge CloudTrail log files without detection. You can use the IAM CLI to validate the files in the location where CloudTrail delivered them

Validated log files are invaluable in security and forensic investigations. For example, a validated log file enables you to assert positively that the log file itself has not changed, or that particular user credentials performed specific API activity. The CloudTrail log file integrity validation process also lets you know if a log file has been deleted or changed, or assert positively that no log files were delivered to your account during a given period of time.

Options B.C and D is invalid because you need to check for log File Integrity Validation for cloudtrail logs

For more information on Cloudtrail log file validation, please visit the below URL:

http://docs.IAM.amazon.com/IAMcloudtrail/latest/userguide/cloudtrail-log-file-validation-intro.html

The correct answer is: Use CloudTrail Log File Integrity Validation.

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To provide access to the three individuals who have IAM user accounts to access the Amazon Linux 2 Amazon EC2 instances that are using the same IAM instance profile, the most appropriate solution would be to assign an IAM policy to the instance profile to allow the EC2 instances to be managed by AWS Systems Manager, provide the IAM user accounts with permission to use Systems Manager, remove the SSH keys from the EC2 instances, and use Systems Manager Session Manager to select the EC2 instance and connect.