Development-Lifecycle-and-Deployment-Architect Salesforce Certified Development Lifecycle and Deployment Architect (SP23) Questions and Answers

A full sandbox would be appropriate for diagnosing reports of poor performance when accessing certain Visualforce pages, as it provides a complete copy of the production data and metadata, which allows the developers to replicate and troubleshoot the issue in a realistic environment. A partial copy sandbox would not be appropriate, as it only provides a sample of the production data, which may not reflect the actual volume and complexity of the data that affects the performance. A developer sandbox would not be appropriate, as it only provides a copy of the production metadata, but not the data, which makes it impossible to test the performance of the Visualforce pages with real data. A developer pro sandbox would not be appropriate, as it also only provides a copy of the production metadata, but not the data, which makes it impossible to test the performance of the Visualforce pages with real data.

These are the correct answers because they are related to the data quality and integrity of the migrated data. Case association, case ownership, and data transformation are all important aspects of data migration that should be tested. Case assignment rules and escalation rules are not directly related to data migration, but rather to the business logic and workflow of the application. Page layout assignment is also not related to data migration, but rather to the user interface and security of the application.

 Three advantages of using the SFDX are: can store code on a local machine, or a version control system; can create scratch orgs; and can install application metadata from a central repository. These advantages can help improve the development experience, as they allow developers to work with source-driven development, use ephemeral and configurable environments, and access metadata components from a shared location. Can quickly deploy metadata using Execute Anonymous is not an advantage of using the SFDX, as Execute Anonymous is a feature of the Developer Console that allows running Apex code, not deploying metadata. Can use native Deployment Rollback Tool to quickly revert to prior state is also not an advantage of using the SFDX, as there is no such tool in the SFDX. See [Salesforce DX] for more details.

Creating transparency by being honest and clear about timing, planning, and obstacles is one of the Scrum principles, as it helps to build trust and collaboration among the team and the stakeholders. Delivering working software is also a Scrum principle, but it does not mean that the software should not be changed if it is working. Respect is another Scrum principle, but it does not imply that a developer should not test the software, as testing is part of the development process. Embracing change is also a Scrum principle, but it does not mean that the scope should change every day, as that would make it impossible to deliver value and quality.

An unmanaged package is a suitable option for deploying an application from a contractor’s own Salesforce to UC’s Salesforce environments. An unmanaged package allows the contractor to share the application code with UC, while giving UC full control and ownership of the code. An unmanaged package also does not require a namespace prefix or a security review.

 Using a Source Control system alongside a multi-sandbox development strategy has several advantages, such as performing code reviews before promoting to a pre-production sandbox, keeping a history of changes made by each developer, and creating a branching strategy that tracks each feature or change separately. Automatically deploying changes from sandbox to production is not an advantage of Source Control, but rather a function of a Continuous Integration tool. Acting as a backup in case of catastrophic data loss is not an advantage of Source Control, but rather a benefit of having a sandbox strategy.

The architect should suggest the following actions to help UC discover the failing unit tests earlier: Train the administrators to make their changes in a special “admin changes” sandbox, and then promote to production, and ensure a metadata backup is committed to version control every day and a diff published to the release team. Training the administrators to use a sandbox can help prevent direct changes to production that can break the code or the unit tests. Ensuring a metadata backup and a diff can help identify any changes that have been made to production and compare them with the source of truth.

Multiple triggers on the same object can cause conflicts and performance issues. Multiple unit test failures can indicate poor code quality and lack of maintenance. Duplicated logic across Visualforce pages and Apex classes can lead to inconsistency and redundancy.

Creating design standards focused on integration and providing training to all teams is the best way to address the challenges of having various integration patterns and a lack of common understanding of the integration landscape. Design standards can help to establish consistent and best practices for integrating Salesforce with other systems, such as choosing the appropriate integration style, pattern, tool, and protocol. Training can help to educate and align the teams on the design standards and the integration architecture.

The package development model relies on source tracking to automatically track the metadata changes in the package project. However, not all metadata components are supported by source tracking, and some changes may need to be tracked manually. For example, changes to profiles, permission sets, custom metadata types, and custom settings are not supported by source tracking. You can find the list of unsupported components here1. No manual tracking is required for the changes that are supported by source tracking, nor for the changes made via the Setup UI, as they are automatically captured by the package development model.

 Two options that should be considered when making production changes in a highly regulated and audited environment are: all changes including hotfixes should be reviewed against security principles, and any production change should have explicit stakeholder approval. These options can help ensure that the changes are compliant with the regulations and have the necessary authorization and documentation. No manual steps should be carried out is not a valid option, as some changes may require manual steps, such as data migration or post-deployment verification. After deployment, the development team should test and verify functionality in production is also not a valid option, as testing and verification should be done in a lower environment before deploying to production, and the responsibility of testing and verifying functionality in production should be assigned to a different team than the development team. See Application Lifecycle and Deployment for more details.

 In the post refresh plan, modifying external ids to a known valid set of values for UAT is the best way to resolve the issue of objects that have external ids from production no longer pointing to valid external ids in the UAT environment. This way, the data integrity and consistency across the integrated systems can be maintained. Letting UAT point to production integrations and rolling back each transaction after it finishes is not a good practice, as it can cause data loss or corruption in production. Deleting all the data and using an automated testing tool to create new data across all the systems in UAT is not feasible, as it can take a lot of time and resources. Masking the external id so nobody can see the production value is not a solution, as it does not address the underlying problem of invalid references.

A source control tool provides the ability for distributed teams to work in isolation, as they can create branches and merge their changes later. It also provides the ability to backup code/configuration changes, as they can be stored in a remote repository and retrieved if needed.

D is the correct answer, as automated testing is the best approach to mitigate the risk of bugs being inadvertently introduced to production. Automated testing can help to ensure that the code meets the quality and functionality standards, as well as detect and prevent any errors or regressions before deploying to production. A is incorrect, as user acceptance testing is not enough to mitigate the risk of bugs, as it depends on the manual testing and feedback of the end users, which can be subjective and incomplete. B is incorrect, as the use of an agile methodology is not directly related to mitigating the risk of bugs, as it is a way of managing the project scope, requirements, and delivery. C is incorrect, as requirements traceability is not directly related to mitigating the risk of bugs, as it is a way of tracking the requirements and their fulfillment. You can learn more about this topic in the Testing Strategies module on Trailhead.

The best practice for writing test classes is to not use SeeAllData and generate data in the test methods. This ensures that the test classes are independent of the data in the org and can run successfully in any environment. Creating test data in production or setting SeeAllData to True can cause unexpected failures or data conflicts.

 D is the correct answer, as the Agile methodology is the best way to handle a project with a fixed deadline and a changing scope, such as retiring a business-critical application that will no longer be supported. The Agile methodology allows for frequent feedback, iterative development, and adaptive planning, which can help to deliver a working solution on time and within budget. A is incorrect, as executive leadership is not a methodology, but a role that can support the project. B is incorrect, as a requirements traceability matrix is a tool that can help to track the requirements and their fulfillment, but not a methodology. C is incorrect, as a business continuity plan is a document that outlines how to resume business operations in the event of a disruption, but not a methodology. You can learn more about the Agile methodology in the Agile Basics module on Trailhead.

To deploy custom metadata types to production using Metadata API, you need to include the CustomMetadata and CustomField data types. CustomMetadata represents the custom metadata type definition, and CustomField represents the custom metadata type fields. CustomMetadataType and CustomObject are not valid data types for custom metadata types

Pairing with the administrator and reviewing each change as it happens is the best way to handle the situation of discovering a Sev0 defect in production. This way, the architect can ensure that the changes are done correctly and quickly, without compromising the quality or security of the application. The architect can also provide guidance and feedback to the administrator, as well as monitor the impact and outcome of the changes. Denying the suggestion, explaining that only developers are certified to make changes, or calling the security team are not advisable actions, as they can delay the resolution of the defect, increase the damage, or create unnecessary conflict.

 The two actions that can effectively contribute to the quality and agility of the team are: Define and follow code standards, and use static code analysis tool in the pipeline before manual code review. Code standards can help ensure consistency, readability, and maintainability of the code, as well as reduce errors and bugs. A static code analysis tool can help automate the code review process and identify any issues or violations of the code standards before the manual review. Choosing the most senior developer to help the technical lead or skipping the code review are not effective actions, as they can lead to more errors and delays.

 Refreshing a Partial Copy sandbox every weekend and including an appropriate sandbox template will allow UC to train the users on samples of production data and delete all the data generated during the training session at the end of the week. Loading data using data loader is not necessary if the sandbox template includes the relevant data. Developer Pro sandboxes have limited storage and may not be able to accommodate the data needed for the training.

 Creating a release calendar, training and aligning all the teams is the best way to avoid conflicts and ensure smooth releases between major, minor, and Salesforce seasonal releases. A release calendar can help the teams plan ahead, coordinate their efforts, and avoid overlapping or conflicting changes. Training and aligning the teams can help them understand the release processes, the best practices, and the expectations for each release type. Gating all release decisions at the center of excellence, sharing the test plans, or creating a spreadsheet of metadata changes are not sufficient or scalable solutions for this problem.

The evidence that can support the CTO’s claims is a burndown chart showing the team misses their forecast sprint after sprint. This indicates that the team is overcommitting and not able to deliver the work they planned. The definition of done, the Kanban board, and the burndown chart showing the team finishes early are not relevant to the CTO’s claims, as they do not reflect the actual progress and performance of the team.

Two software development methodologies that an architect should suggest to solve the issue of visibility are Scrum and Kanban. Scrum is based on the value of openness, which means that the team members and stakeholders share information and feedback regularly and transparently. Kanban is based on the principle of making everything visible, which means that the team uses a visual board to track the progress and status of the work items. Waterfall is not a good methodology for visibility, as it does not allow for frequent communication and feedback. DevOps is not a methodology, but a culture and practice that aims to improve collaboration and delivery across the software development lifecycle.

A, C, and E are the correct answers, as Force.com Migration Tool, Source Control Tool, and Continuous Integration Build Tool are the tools that should be used to enable a continuous integration process to help manage code quality. A continuous integration process is a practice that involves merging code changes from multiple developers into a common repository, and then testing and validating them automatically, before deploying them to the target environment. Force.com Migration Tool is a tool that uses the Metadata API to retrieve and deploy metadata components, such as code, from one org to another. Source Control Tool is a tool that manages the versions and changes of the code, and allows for collaboration and integration among the developers. Continuous Integration Build Tool is a tool that automates the testing and deployment of the code, and ensures that the code meets the quality and functionality standards. B is incorrect, as Full Sandbox Environment is not a tool that should be used to enable a continuous integration process, as it is a copy of a production org that is used for development and testing purposes, but not for merging, testing, or deploying code changes. D is incorrect, as Project Management Tool is not a tool that should be used to enable a continuous integration process, as it is a tool that helps to plan, organize, and track the progress of the project, but not to manage, test, or deploy code changes. You can learn more about these tools in the Continuous Integration and Continuous Delivery module on Trailhead.

 The sfdx force:source:retrieve command is used to retrieve the metadata from an org to a local project directory. However, before running this command, the developer needs to create a project using the sfdx force:project:create command, and then navigate to the project directory using the cd command. If the developer hasn’t done these steps, they will get the error message: “This command is required to run from within an SFDX project”. The -n option is not required for the sfdx force:project:create command, as it will prompt the developer to enter a project name interactively. The developer can create the project within VSCode and run the command in a separate terminal, as long as they are in the same project directory.

 Executing all test classes in sandboxes can help identify and fix any errors or failures before deploying to production. Executing selected test classes in production can help reduce the deployment time and avoid running unnecessary tests.

To move to the package development model, the administrator must enable both the Dev Hub and the Second-Generation Managed Packages in setup. The Dev Hub is the main org where the administrator can create and manage scratch orgs and packages. The Second-Generation Managed Packages are the new format of packages that support modular development and versioning. The Unlocked Packages are a type of second-generation packages that are not tied to a namespace and can be installed and customized in any org. The Source Tracking for Scratch Orgs is a feature that allows the administrator to track the changes made in a scratch org and push or pull them to or from a source repository.

The best practice for moving classes between packages is to set them as deprecated in the source package and recreate them in the target package. This way, the existing subscribers of the source package will not be affected by the change, and the new subscribers of the target package will get the updated classes. Moving the classes directly or changing their names can cause compilation errors and dependency issues.

 DevPro1 cannot be cloned because it is on a different version from Production, as it was upgraded to preview for the next Salesforce major release two weeks ago. Therefore, the architect should recommend creating a new DevPro2, and migrating metadata from DevPro1. This way, the second work stream can work on the Service Cloud requirements in a separate sandbox, without affecting the Sales Cloud dev team. Asking the second work stream team to work on the same DevPro1 sandbox would create conflicts and dependencies between the two teams, and would not allow them to release at different times. Pushing back on the requirements because adding another work stream will bring some risks with it would not be a good option, as the business needs might be urgent and important.

C and D are the best approaches to develop customizations once and make them available in both orgs, as they use packages that can be installed and updated in multiple orgs. A is not a good approach, as it does not allow for versioning and dependency management of the customizations. B is not a good approach, as it does not support deploying metadata components between orgs.

Implementing the change in the sandbox, validating, and releasing to production and considering that the integration with the ERP system may not function as expected are two considerations when addressing the requirement. The change should be performed in the sandbox first, as it is a best practice to test any changes in a non-production environment before deploying them to production. The change may also affect the integration with the ERP system, as it may require updating the mappings, validations, or transformations between the two systems.

 The best option for UC given the scenario is to opt for a multi-org strategy, where each org can have its own sales process, common rules, and operate in locale. A multi-org strategy can accommodate the different languages, sales processes, and legal requirements of the two business units. A multi-org strategy can also allow for more innovation and flexibility, as each org can customize and optimize its own functionality. A single-org strategy may not be able to support the different languages, sales processes, and legal requirements of the two business units. A single-org strategy may also limit the innovation and flexibility, as the org has to follow a standardized and consistent approach.

 An application with many systems and inter-dependencies between components is a project situation that favors a waterfall methodology, as it requires a high level of planning and design upfront to ensure the integration and compatibility of the components. An application with regulatory compliance requirements to be validated by outside agencies is also a project situation that favors a waterfall methodology, as it requires a clear and detailed documentation of the requirements and specifications, as well as a formal and rigorous testing and validation process. An application in post-production, with incremental changes made by a small team is a project situation that favors an agile methodology, as it allows for faster and more frequent delivery of changes, as well as more flexibility and collaboration. An in-house application with a fixed team size, but an open timeline and flexible requirements is also a project situation that favors an agile methodology, as it allows for more creativity and experimentation, as well as more feedback and adaptation.

 Agile development methodology allows for frequent and incremental releases of functional code, which enables stakeholders to provide feedback and validate the requirements. Agile development methodology also embraces changes in the project requirements as the business needs evolve, and adapts to them accordingly.

The best way to migrate from a managed package to an unlocked package is to split the components into two packages: one for the objects and fields, and one for the classes, Visualforce, and other components. This way, the data and integrations with the objects and fields of the managed package are preserved, and the classes and Visualforce can be modified and deployed using CI/CD processes with the unlocked package. Exporting and restoring the data from the managed package is not a feasible solution, as it would require a lot of effort and risk data loss or corruption. Installing the unlocked package with the same namespace as the managed package is not possible, as namespaces are unique and cannot be reused. Staying with the managed package is not a good option, as it does not allow for better integration with CI/CD processes.

 To run a subset of tests, set the Run Specified Tests test level on the DeployOptions object and pass it as an argument to the deploy() call and specify only the test classes that are required to be executed, as specifying the test method is not supported in DeployOptions. These statements are true regarding running specific tests during deployments. The Run Specified Tests test level allows the developer to choose which tests to run in production, while specifying the test method is not a valid option for the DeployOptions object.

Implementing a Hub-and-Spoke multi-org strategy by consolidating customer data in a single org, which will be the master of customer data, and using integration strategies to let the LOBs orgs read and write from it is one of the options an architect can recommend to accomplish the customer 360-degree view. This way, the architect can ensure that there is a single source of truth for the customer data, and that the data is consistent and synchronized across the different orgs. Implementing a Single Package multi-org strategy by developing and deploying to all orgs a managed package which reads and consolidates customer 360-degree view from the different orgs is another option an architect can recommend, as it allows the architect to create a reusable and scalable solution that can provide a unified view of the customer data from multiple sources. Implementing a Complete Graph multi-org strategy or migrating from multi-org to single-org strategy are not feasible or optimal options, as they can introduce complexity, cost, or risk to the architecture.

The most challenging factor to consider in merging the two Salesforce.com orgs into a single org is the customer data, as it may contain duplicates, inconsistencies, and conflicts. Option D suggests using standardization and de-duplication tools to merge the customer data, which is a reasonable approach. Option A is not true, as transactional sales data may have different formats, fields, and values in the two orgs. Option B is not necessary, as salespersons selling both product lines can use a single login in the merged org. Option C is not true, as business processes on standard objects may have different workflows, validation rules, and triggers in the two orgs.

The best environment for developing a new feature in an org with unlocked packages is a scratch org with the package code that will be changed and its dependencies. A scratch org is a source-driven and disposable deployment of Salesforce code and metadata that is fully configurable and can be created quickly. A scratch org can also install unlocked packages and their dependencies, which can help ensure compatibility and functionality of the new feature. A Developer Pro sandbox is not a good option, as it is not source-driven and can have outdated or conflicting data and metadata.

Testing load considering 50% more call volume is a reasonable test load consideration, as it can simulate the expected future growth and ensure that the application can handle the increased demand without compromising the performance or functionality.

These are the correct answers because they are essential components of a governance framework that helps to manage the changes and enhancements to the Salesforce application. Requirements management is the process of capturing, analyzing, prioritizing, and tracking the business needs and requests. Change control log is the tool that records and tracks the status of all change requests and approvals. Documentation repository is the central place that stores and organizes all the project artifacts and deliverables. Automated testing and continuous integration are not necessary components of a governance framework, but rather best practices for ensuring the quality and reliability of the code and configuration.

The partner can use Developer Edition or Partner Developer Edition for development of the managed package. These environments allow the creation of a namespace and the packaging of components into a managed package. Developer sandbox and Developer Pro sandbox do not support these features and are not suitable for developing a managed package.

The architect should recommend generating mock data that mimics production data shape and volume, and performing data masking on full sandbox after a refresh. These options allow the team to create realistic data sets for testing without violating the regulations that prohibit the use of production data in non-production environments. Requesting a partial sandbox copy after the next Salesforce release is not a valid option, as partial sandboxes are refreshed on demand and not tied to Salesforce releases. Using Query Analyzer in production is not a way to perform data volume testing, as it only analyzes the performance of SOQL queries.

The responsibility of the Technical Architect within a Change Control Board meeting is to approve the upcoming release for deployment into production, as they are the ones who have the authority and expertise to evaluate the quality and readiness of the release2. Option A is not correct, as prioritizing the Salesforce product roadmap with business stakeholders is not a task that is done in a Change Control Board meeting, but rather in a strategic planning session. Option B is not correct, as conducting code reviews for projects in the development phase is not a task that is done in a Change Control Board meeting, but rather in a code review session. Option C is not correct, as troubleshooting deployment errors that occurred during the last release is not a task that is done in a Change Control Board meeting, but rather in a post-deployment review session.

Test classes should execute under various profiles to ensure that the code works for different user permissions and sharing settings. Test data must have positive as well as negative data to cover all possible scenarios and edge cases.

The correct way to deploy the artifact to the full sandbox is to authorize to the full sandbox org, validate with sfdx:mdapi:deploy, and on successful validation, deploy with sfdx:mdapi:deploy. This is because the artifact is a .zip file, which is in the metadata API format, and not the source format. Therefore, the sfdx:mdapi:deploy command should be used instead of the sfdx:source:deploy command. See Deploy Metadata Using Metadata API for more details.

This is the correct answer because having developers work in separate branches and merge their changes in a common branch for testing can reduce the risk of overwriting others’ changes and ensure code quality and consistency. Having all developers work in the same branch or in the HEAD may cause conflicts and errors. Not using source control is not a good practice and may result in data loss and lack of version control.

 Creating a Center of Excellence with a charter document is a recommended practice for managing multiple projects and aligning them with the business goals and roadmap. A Center of Excellence is a cross-functional team that provides guidance, support, and governance for the Salesforce ecosystem. A charter document defines the vision, mission, roles, and responsibilities of the Center of Excellence.

Develop, Build Release, and Test are three steps that apply to any Salesforce development project, regardless of the size, complexity, or methodology. Develop is the step where the developers create the code and configuration components that meet the requirements and specifications. Build Release is the step where the components are packaged and deployed to different environments for testing and validation. Test is the step where the components are verified and validated against the requirements and specifications, as well as the quality and performance standards. Continuous Integration and Change Sets are not steps, but tools or techniques that can be used to facilitate the development project. Continuous Integration is a technique that involves merging the code from different developers frequently and automatically, to ensure consistency and avoid conflicts. Change Sets are a tool that allows the developers to move the components from one org to another org.

 Implementing a pull request and secure code review will contribute to an improvement of code security by ensuring that the code is checked and approved by another developer before merging to the main branch. Integrating a static code security analysis tool in the CI/CD process will contribute to an improvement of code security by automatically scanning the code for vulnerabilities and enforcing security standards. Hiring a company specialized in secure code review or using two developers to review and fix current code vulnerabilities are not actions that will improve code security, but rather remediate existing security issues.

The optimized order to load the objects is: accounts, contacts, leads, products, opportunities, opportunity line items. This order follows the dependency and relationship rules among the objects, such as: accounts must be loaded before contacts, as contacts are related to accounts; leads must be loaded before opportunities, as opportunities can be converted from leads; products must be loaded before opportunity line items, as opportunity line items are related to products; and opportunities must be loaded before opportunity line items, as opportunity line items are related to opportunities. See [Data Import Order] for more details.

A Port management tool is a tool that can support a project involving a large distributed development and testing team, by providing features such as requirements management, defect tracking, collaboration, and reporting. A Port management tool can also integrate with other tools, such as code repositories, testing tools, and deployment tools, to provide a comprehensive view of the project status and progress. A Spreadsheet is not a suitable tool for managing requirements and defects, as it is prone to errors, duplication, and inconsistency. A Code Repository is a tool that stores and manages the source code of the system, but does not manage requirements and defects. Wave is a tool that provides analytics and insights on data, but does not manage requirements and defects.

The architect should recommend the use of an automated testing tool daily in all Developer Orgs, and when branches are merged. This strategy allows the team to catch and fix any errors or bugs early in the development cycle, and to ensure that the code is stable and consistent before deployment. Running automated tests only when branches are merged is not sufficient, as it may delay the detection and resolution of issues. Running automated tests only in Full or Partial Copy sandboxes is not advisable, as it may not cover all the scenarios and environments.

QUESTIONNO: 172

Universal Containers (UC) is a large enterprise with a complex system landscape. UC is

currently rolling out new infrastructure and strategies around Salesforce DevOps. Some of the

key feature’s UC is looking to support is rollback of metadata after a deployment, and the

backup and restore of data to help recover from deployment issues, system bugs, or outages in

their downstream systems.

Regulations in the industry mean that UC must be able to provide strategies to recover and

rollback from issues. The regulator has discovered UC is not currently providing these, and must

do so as soon as possible to remain compliant.

What should an architect advise?

A. Salesforce backs up all data and will restore it for customers on request.

B. Evaluate third-party and AppExchange products.

C. Advise stakeholders that rollback is not possible for Salesforce.

D. Custom build a feature rollback and data restore tool for Salesforce

Answer: B

The architect should advise UC to evaluate third-party and AppExchange products that can provide the features they are looking for, such as rollback of metadata and backup and restore of data. Salesforce does not offer these features natively, and building a custom solution can be costly and time-consuming. There are several products available in the market that can help UC meet their regulatory requirements and recover from issues. For example, Gearset is a DevOps tool that can perform metadata rollback and data backup and restore, among other features

The usual symptoms of inadequate negative tests are the ones that indicate that the code is not handling the possible errors or exceptions that may occur in different scenarios. For example, when an Apex batch job runs at a scheduled time, an increased number of Apex execution errors occur over all1, this means that the code is not handling the possible concurrency issues, governor limits, or data quality issues that may arise when the job runs. Similarly, when an Apex process runs into an un-handled exception when an HTTP callout has an unexpected status code in the response body1, this means that the code is not handling the possible network issues, authentication issues, or API errors that may occur when making the callout. Another symptom is when developers constantly ask the testers for a screenshot of the error and the exact steps of reproducing the error1, this means that the code is not logging the error details or providing meaningful error messages to the users. Option A is incorrect because turning to the debug log for details of the failed Apex executions is not a symptom of inadequate negative tests, but a normal practice of debugging the code. Option E is incorrect because the delivered user interfaces are not meeting the expectations of the business users is not a symptom of inadequate negative tests, but a symptom of poor user interface design or incomplete requirements.

The creation and execution of Release Management processes are the responsibility of the Dev/Build Team and the Center of Excellence. The Dev/Build Team is in charge of developing, testing, and deploying the changes to the system, while the Center of Excellence is in charge of defining and managing the best practices, standards, and governance for the system. The Steering Committee is a group of senior stakeholders that provides strategic direction and oversight for the project, but does not create or execute the Release Management processes. The End Users are the people who use the system, but do not create or execute the Release Management processes.

The optimal way to store the service centers as technical reference data is to add them to a custom metadata type. Custom metadata types allow you to create, update, and deploy records that are defined by a custom object. Custom metadata types are similar to list custom settings, but they have some advantages, such as being deployable, queryable, and packageable. Hierarchical custom settings are not suitable for storing multiple records of the same type, and defining a new custom object with a picklist field is unnecessary and inefficient.

Active Process Builders are configuration items that should be covered by executable tests, as they can have complex logic and actions that affect the behavior and performance of the application. Validation Rules, Workflow Rules, and Case Assignment Rules are also configuration items, but they are simpler and less likely to cause errors or conflicts. Therefore, they can be verified by manual testing or declarative tools.

The benefits of managing change with Packaged Development are:

• Versioning to help with change management, as it allows the developers to track the changes made to the metadata and roll back to previous versions if needed.
• Making the release cycle more efficient and agile, as it enables the developers to deploy smaller and more frequent updates to the orgs, reducing the risk of errors and conflicts.
• Modular development process with specification of dependencies among packages, as it allows the developers to break down the metadata into logical units that can be reused and updated independently, while ensuring that the dependencies are resolved correctly. Managing the number of sandboxes needed to successfully deploy is not a benefit of Packaged Development, as it is more related to the sandbox strategy and the development model. Clearly dividing developers and testers is also not a benefit of Packaged Development, as it is more related to the team structure and the testing strategy.

A and B are the correct answers, as installing an Aloha certified app and upgrading to an Enterprise Edition org are the best solutions to enable advanced quoting in the current Professional Edition org. An Aloha certified app is an app that does not count against the org limits, such as objects and tabs, and can provide additional functionality and features. Upgrading to an Enterprise Edition org can increase the org limits, as well as provide access to more customization and automation options. C is incorrect, as creating and installing an unmanaged package is not a good solution, as it will consume the org limits and may not provide the desired functionality. D is incorrect, as buying more user licenses will not increase the org limits, but only the number of users who can access the org. You can learn more about this topic in the Salesforce Editions and Limits module on Trailhead.

The best way to stop the rollbacks from happening is to ensure report metadata is exported daily and that it is merged into the developer branches before the next release. This way, the reports and dashboards will be up to date and consistent across all environments. Using a third-party data warehouse is not a solution, as it does not address the root cause of the rollbacks. Removing the executive’s ability to change reports is not a good practice, as it limits their flexibility and autonomy. Backing up and reimporting the reports before and after the release is not a reliable or scalable solution, as it can introduce errors and inconsistencies.

Load testing is the type of testing that will help UC measure the page response time. Load testing simulates the expected number of concurrent users and measures how the system performs under normal load conditions. Unit testing, system integration testing, and stress testing are not designed to measure the page response time.

 The best release strategy for creating a new report to support an urgent client request is to utilize the daily release process. The daily release process is designed for small and quick changes that do not require extensive testing or approval. The daily release process can create the report directly in a full sandbox and then deploy it to production. The major and minor release processes are more suitable for large and complex changes that require more testing and approval. The major and minor release processes should not create the report directly in production, as this may cause errors or conflicts.

To improve the performance of the development teams, the following ways can be suggested: Define and follow code standards, and implement a sprint review process. Code standards can help ensure consistency, readability, and maintainability of the code, as well as reduce errors and bugs. A sprint review process can help evaluate the work done in each sprint, demonstrate the functionality, and gather feedback from the stakeholders and users.

The deployment script will fail because the new field is not known for the previous API version 35. The Metadata API version determines which components and fields are available for deployment. If a component or field is introduced in a later API version than the one used for deployment, it will not be recognized and will cause an error.