DS0-001 CompTIA DataSys+ Certification Exam Questions and Answers

Option D is the only snippet that demonstrates a valid trigger timing and event pairing as commonly tested for DataSys+ objectives around database automation and enforcing data integrity. In mainstream relational databases that support row-level triggers (for example, MySQL/MariaDB-style syntax), triggers are typically defined to fire BEFORE or AFTER a DML event such as INSERT, UPDATE, or DELETE. Option D uses BEFORE UPDATE, which is a recognized pattern: it runs automatically prior to an update operation, allowing the database to enforce business rules or modify values consistently and centrally.

By contrast, ALTER and DROP are DDL operations and are not generally supported as row-level trigger events in common SQL implementations; they are handled through DDL auditing features, event triggers (in specific platforms), or administrative logging—not through FOR EACH ROW triggers. Therefore, options A and C are incorrect for typical trigger usage patterns expected in DataSys+ scenarios. Option B is also invalid because DURING is not a standard trigger timing keyword; the standard model is BEFORE/AFTER (and in some platforms, INSTEAD OF for views).

One typing/logic note: many platforms require referencing the row being modified (for example, NEW.column and OLD.column) rather than bare column names, and trigger bodies often use BEGIN ... END plus statement terminators. Still, among the provided choices, D correctly illustrates the concept DataSys+ emphasizes: using triggers to automate consistent rule enforcement on DML changes.

The correct answer is A. UPDATE. CompTIA DataSys+ classifies the UPDATE command as a Data Manipulation Language (DML) statement used to modify existing data within a table. When data is imported incorrectly—such as having wrong values, missing fields, or improperly formatted entries—the appropriate corrective action is to update the affected records rather than removing data structures or deleting records outright.

The UPDATE command allows a database administrator to correct specific columns or rows by setting them to the proper values while preserving the rest of the dataset. This aligns with DataSys+ best practices, which emphasize data integrity, minimal disruption, and precision when fixing data-related issues. By using a WHERE clause, the administrator can target only the incorrect records, reducing risk and avoiding unnecessary data loss.

Option B, DROP TABLE, is a DDL command that completely removes a table and all its data and structure. This is an extreme action and would not be appropriate when only certain data values are incorrect. Option C, DELETE, removes rows from a table, which may result in loss of valid data rather than correcting it. Deletion is only appropriate when data should no longer exist, not when it needs correction. Option D, ALTER TABLE, is also a DDL command used to modify table structure (such as adding or changing columns), not to fix incorrect row-level data.

CompTIA DataSys+ stresses the importance of choosing the least destructive and most targeted command when resolving data issues. Correcting imported data typically involves adjusting values rather than altering schema or removing data entirely.

Therefore, to fix incorrectly captured imported data while maintaining database integrity and availability, the administrator should use the UPDATE command, making option A the correct and fully verified answer.

The advantage of creating indexes is to provide quick and efficient access to data. An index is a data structure that stores the values of one or more columns of a table in a sorted order, along with pointers to the corresponding rows in the table. An index helps to speed up queries that search, filter, sort, or join data based on the indexed columns, as it reduces the number of disk accesses or scans required to locate the desired data. An index also helps to enforce uniqueness or referential integrity constraints on the indexed columns. The other options are either not true or not relevant for this purpose. For example, an index does not help with space allocation, as it consumes additional space in the database; an index does not reduce memory, as it may use memory for caching or buffering purposes; an index does not update the query plan, as it is an input or a factor for the query optimizer to generate the query plan. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.2 Given a scenario, execute database tasks using scripting and programming languages.

The first thing that the database administrator should examine to troubleshoot the issue is the event log. The event log is a file that records the events and activities that occur on a system, such as database backups, errors, warnings, or failures. By examining the event log, the administrator can identify the cause and time of the backup failure, and also check for any other issues or anomalies that may affect the backup process or the backup quality. The other options are either not relevant or not the first priority for this task. For example, CPU usage, disk space, and OS performance may affect the performance or availability of the system, but not necessarily cause the backup failure; moreover, these factors can be checked after reviewing the event log for more information. References: CompTIA DataSys+ Course Outline, Domain 5.0 Business Continuity, Objective 5.2 Given a scenario, implement backup and restoration of database management systems.

The correct answer is C. View creation. CompTIA DataSys+ places strong emphasis on protecting personally identifiable information (PII) while still enabling developers and analysts to perform their required tasks. In environments such as financial institutions, direct access to tables containing sensitive data presents a significant security and compliance risk, especially for junior developers who do not require full visibility of production data.

Creating views is a best-practice solution that allows database administrators to expose only the necessary columns and rows while hiding or excluding sensitive fields such as Social Security numbers, account numbers, or personal contact details. Views act as a controlled abstraction layer over the underlying tables, enabling developers to work with realistic data structures without direct access to raw PII. DataSys+ highlights views as an effective method for enforcing the principle of least privilege while maintaining usability and performance.

Option A, role assignment, is important for access control but is too broad on its own. Assigning a role may still allow access to sensitive columns unless combined with views or column-level permissions. Option B, data masking, is often used for non-production environments or dynamic data protection, but it may not be the best solution when developers need structured access to table data for development or testing purposes. Option D, policy enforcement, refers to governance and administrative controls but does not directly provide a technical mechanism for safe table access.

CompTIA DataSys+ stresses that database security should balance protection with operational efficiency. Views allow DBAs to centrally manage what data is exposed, simplify auditing, and reduce the risk of accidental data leakage. They are especially valuable in regulated industries where compliance and data minimization are critical.

Therefore, the best option for providing junior developers with access while protecting PII is view creation, making option C the correct and fully verified answer.

The correct answer is B. Rights and privileges. CompTIA DataSys+ clearly distinguishes between different categories of security controls, and access to shared resources such as folders is governed primarily by authorization mechanisms, specifically rights and privileges. In this scenario, access is restricted so that only authorized users can view or modify the shared folder, which directly reflects the enforcement of permissions.

Rights and privileges define what actions an authenticated user is allowed to perform on a system or resource. For shared folders, this typically includes read, write, modify, or full control permissions assigned to users or groups. DataSys+ emphasizes the principle of least privilege, which ensures users are granted only the minimum level of access required to perform their job functions. Applying appropriate rights and privileges protects sensitive data from unauthorized access and accidental modification.

Option A, password policies, control how passwords are created and managed, such as complexity, expiration, and reuse rules. While password policies help verify a user’s identity during authentication, they do not determine which resources a user can access after logging in. Option C, service accounts, are specialized non-human accounts used by applications or services and are unrelated to user access to shared folders. Option D, firewall policy, controls network-level traffic and determines which connections are allowed or blocked between systems, not access to files or folders once a connection is established.

CompTIA DataSys+ materials emphasize that security is layered, with authentication confirming identity and authorization enforcing access. In this case, users are already authenticated, and the restriction applies at the resource level. That makes rights and privileges the relevant control.

Therefore, the policy applied to ensure only authorized users can access the shared folder is rights and privileges, making option B the correct and fully verified answer.

The correct answer is C. Client-side. CompTIA DataSys+ explains that client-side scripting refers to code that is executed directly within the user’s web browser, rather than on a backend server or operating system shell. The most common and widely recognized client-side scripting language is JavaScript, which runs natively in modern web browsers and is used to enhance interactivity, validate input, and dynamically update content on web pages.

Client-side scripts execute after a web page is delivered to the user’s browser. This allows for immediate feedback, such as form validation, dynamic content updates, and interactive user interfaces, without requiring a round trip to the server. DataSys+ highlights client-side scripting as an important concept when discussing web applications that interact with databases, particularly because improper client-side controls can introduce security risks if not reinforced by server-side validation.

Option A, server-side scripting, runs on the web server rather than in the browser. Examples include PHP, Python, Ruby, and server-side JavaScript (such as Node.js). These scripts handle tasks like database queries, authentication, and business logic and are never executed in the browser itself. Option B, PowerShell, is a scripting and automation language used primarily in Windows environments for system and database administration tasks and cannot run inside a web browser. Option D, command-line scripting, refers to scripts executed in a terminal or shell environment, not within a browser context.

CompTIA DataSys+ emphasizes the distinction between client-side and server-side execution models because of their impact on performance, security, and data handling. Understanding where code executes is critical for protecting databases from exposure and enforcing proper validation controls.

Therefore, the type of scripting that can be executed in a web browser is client-side scripting, making option C the correct and fully verified answer.

The service that is responsible for assigning, managing, and reclaiming IP addresses on a TCP/IP-based network is DHCP. DHCP, or Dynamic Host Configuration Protocol, is a service that automatically assigns IP addresses and other network configuration parameters, such as subnet mask, default gateway, DNS server, etc., to computers or devices on a network. DHCP helps simplify the administration and management of IP addresses on a network, as well as avoid conflicts or errors caused by manual or duplicate assignments. DHCP also allows computers or devices to release or renew their IP addresses when they join or leave the network. The other options are either different services or not related to IP addresses at all. For example, DNS, or Domain Name System, is a service that translates domain names into IP addresses and vice versa; LDAP, or Lightweight Directory Access Protocol, is a service that provides access to directory information such as users, groups, or devices on a network; ISMTP is not a valid acronym or service. References: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.1 Given a scenario, select an appropriate database deployment method.

The correct answer is A. Implement a virtual private network (VPN). CompTIA DataSys+ emphasizes secure remote access as a critical requirement for modern database environments, especially when users need to connect from untrusted networks such as home internet connections. A VPN provides a secure, encrypted tunnel between the user’s device and the organization’s internal network, allowing remote users to access database resources as if they were physically on-site.

By using strong encryption and authentication mechanisms, a VPN ensures that data transmitted over public networks cannot be intercepted, read, or altered by unauthorized parties. DataSys+ highlights VPNs as a best practice for protecting data-in-transit and preventing exposure of sensitive database services directly to the internet. VPNs also allow administrators to enforce centralized access controls, logging, and monitoring, further strengthening security.

Option B, implementing strong password policies, is an important security measure but does not by itself enable secure remote connectivity. Password policies address authentication strength, not secure network transport. Option C, configuring and deploying a firewall, is essential for controlling traffic flow, but a firewall alone does not provide secure remote access for home users. It typically blocks or allows connections rather than securely tunneling them. Option D, implementing a perimeter network (DMZ), is designed to host internet-facing services while isolating internal systems. Exposing databases through a perimeter network increases risk and is not recommended for direct user access to internal data.

CompTIA DataSys+ stresses the principle of minimizing attack surface. A VPN supports this principle by avoiding direct exposure of database services while still enabling authorized remote access. It also integrates well with multifactor authentication and identity management systems.

Therefore, the most secure and appropriate method to enable remote access without compromising stored data is to implement a virtual private network, making option A the correct and fully verified answer.

The document that the administrator should create to illustrate the interaction between tables is an entity relationship diagram. An entity relationship diagram (ERD) is a graphical representation of the entities (tables), attributes (columns), and relationships (constraints) in a database. An ERD helps the administrator to visualize the structure and design of the database, as well as the dependencies and associations among the tables. The other options are either different types of documents or not related to the interaction between tables. For example, a troubleshooting guide is a document that provides instructions on how to solve common problems or errors in a database; a data dictionary is a document that describes the metadata (information about data) of a database; a database reference manual is a document that provides information on how to use or operate a database. References: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.2 Given a scenario, create database objects using scripting and programming languages.

The correct answer is B. Brute-force. CompTIA DataSys+ identifies brute-force attacks as a common authentication-based threat in database and system environments. A brute-force attack involves repeatedly attempting to authenticate to an account by systematically trying different credentials or repeatedly targeting known or default accounts in hopes that one attempt will succeed. The presence of multiple ongoing connection attempts in logs is a key indicator of this attack type.

In this scenario, the attacker is attempting to connect using a default account, even though it has been disabled. Default accounts are well-known targets because attackers are often aware of their usernames and may assume weak or unchanged credentials. DataSys+ emphasizes that attackers frequently attempt brute-force or password-spraying attacks against default or administrative accounts, especially when exposed services are accessible over the network. Even if the account is disabled, repeated attempts still generate log entries and clearly signal brute-force behavior.

Option A, malware, typically involves malicious software executing on a system and does not primarily manifest as repeated login attempts in authentication logs. Option C, on-path (man-in-the-middle) attacks, involve intercepting or altering network traffic between two parties and would not appear as repeated failed authentication attempts from a single source. Option D, SQL injection, targets application input fields and database queries, not authentication mechanisms tied to account logins.

CompTIA DataSys+ stresses the importance of monitoring logs for failed authentication attempts as part of intrusion detection and security auditing. It also highlights defensive controls such as account lockout policies, disabling default accounts, strong authentication mechanisms, and intrusion detection systems to mitigate brute-force attacks.

Because the defining characteristic in the scenario is repeated connection attempts against an account, the activity is best classified as a brute-force attack, making option B the correct and fully verified answer.

The property that addresses this concern is durability. Durability is one of the four properties (ACID) that ensure reliable transactions in a database system. Durability means that once a transaction has been committed, its effects are permanent and will not be lost in case of system failure, power outage, crash, etc. Durability can be achieved by using techniques such as write-ahead logging, checkpoints, backup and recovery, etc. The other options are either not related or not specific to this concern. For example, isolation means that concurrent transactions do not interfere with each other and produce consistent results; atomicity means that a transaction is either executed as a whole or not at all; consistency means that a transaction preserves the validity and integrity of the data. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.3 Given a scenario, identify common database issues.

The join that is most appropriate for the analyst to use to create this database view is option D. This join uses the LEFT JOIN clause to combine the client table and the invoice table based on the matching values in the Key column. The WHERE clause filters out the rows where the Invoice.Key column is not null, meaning that the client has made a purchase. The result is a view that shows only the clients who have not made any purchases yet. The other options either do not produce the desired result or have syntax errors. For example, option A would show only the clients who have made purchases, option B would show only the invoices that do not have a matching client, and option C would show all the clients regardless of their purchase status. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.2 Given a scenario, execute database tasks using scripting and programming languages.

The document that should be used to analyze the database’s structure is an ERD. An ERD, or Entity Relationship Diagram, is a graphical representation of the entities (tables), attributes (columns), and relationships (constraints) in a database. An ERD helps to visualize the structure and design of the database, as well as the dependencies and associations among the tables. An ERD can also help to evaluate the level of normalization of the database, which is a process that organizes data into tables and columns to reduce redundancy and improve consistency. By using an ERD, a database professional can consider denormalizing a database, which is a process that introduces some redundancy or duplication of data to improve performance or simplify queries. The other options are either different types of documents or not related to the database’s structure. For example, an SOP, or Standard Operating Procedure, is a document that describes the steps and procedures for performing a specific task or operation; a data dictionary is a document that describes the metadata (information about data) of a database; a UML diagram is a graphical representation of a software system or its components using the Unified Modeling Language (UML). References: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.2 Given a scenario, create database objects using scripting and programming languages.

The correct answer is B. INTEGER. According to CompTIA DataSys+ objectives, choosing the appropriate data type is a fundamental database design decision that directly affects storage efficiency, performance, and data integrity. Product quantities represent whole numbers, such as the count of items in inventory, units sold, or stock remaining. Because these values do not require decimal precision, an integer-based data type is the most appropriate and storage-efficient choice.

An INTEGER data type is specifically designed to store whole numbers and consumes significantly less storage than floating-point or double-precision data types. DataSys+ emphasizes that database administrators should always select the smallest data type that accurately represents the data, as this reduces disk usage, improves cache efficiency, and enhances query performance—especially in large tables with millions of rows.

Option A, DOUBLE, and option D, FLOAT, are floating-point data types intended for values that require decimal precision, such as scientific measurements or financial calculations involving fractions. These data types consume more storage and can introduce rounding errors, making them unsuitable for storing simple quantity counts. Using floating-point types for inventory quantities would be inefficient and unnecessary.

Option C, COUNT, is not a data type at all. COUNT is an aggregate SQL function used in queries to calculate the number of rows or non-null values in a result set. It cannot be used to define a column in a table schema.

CompTIA DataSys+ highlights that efficient schema design includes proper data typing to minimize resource consumption while maintaining accuracy. By using INTEGER for product quantities, administrators ensure optimal storage utilization, faster indexing, and predictable arithmetic operations.

Therefore, to store product quantities accurately while consuming the minimal amount of storage, INTEGER is the best and most appropriate choice, making option B the correct and fully verified answer.

The database structure that is a type of NoSQL database is key-value stores. Key-value stores are databases that store and manage data as pairs of keys and values. Keys are unique identifiers that locate data in the database; values are arbitrary data that can be any type or format. Key-value stores do not use any schema or structure to organize data, but rather use hash tables or indexes to enable fast and simple access to data based on keys. Key-value stores are suitable for storing large amounts of simple or unstructured data that do not require complex queries or relationships. The other options are either different types of databases or not related to database structures at all. For example, hierarchical databases are databases that store and manage data as nodes in a tree-like structure; cloud databases are databases that are hosted and accessed over the internet using cloud computing services; object-oriented databases are databases that store and manage data as objects that have attributes and methods. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.1 Given a scenario, identify common database types.

The best suited database engine for this task is MongoDB. MongoDB is a type of non-relational database that stores data as documents in JSON-like format. MongoDB allows administrators to perform quick and simple queries on unstructured data, such as text, images, videos, or social media posts, without requiring a predefined schema or complex joins. MongoDB also supports cloud-based deployment, scalability, and high availability. The other options are either relational databases that require a fixed schema and structure for data, or specialized databases that are designed for specific purposes, such as graph databases for storing and analyzing network data. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.1 Given a scenario, identify and apply database structure types.

The firewall type that allows an administrator to control traffic and make decisions based on factors such as connection information and data flow communications is stateful. A stateful firewall is a type of firewall that tracks the state of each connection and packet that passes through it, and applies rules or policies based on the context and content of the traffic. A stateful firewall can control traffic and make decisions based on factors such as source and destination IP addresses, ports, protocols, session status, application layer data, etc. The other options are either different types of firewalls or not related to firewalls at all. For example, a circuit-level firewall is a type of firewall that monitors and validates the establishment of TCP or UDP connections; a proxy firewall is a type of firewall that acts as an intermediary between the source and destination of the traffic; a packet firewall is a type of firewall that filters packets based on their header information. References: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.2 Given a scenario, implement security controls for databases.

The best option to configure IP addresses to allow access to the database is a firewall. A firewall is a network device or software that controls the incoming and outgoing traffic based on a set of rules or policies. A firewall can be used to filter the traffic by IP addresses, ports, protocols, or other criteria, and allow or deny access to the database accordingly. The other options are either not relevant or not sufficient for this task. For example, a static IP address is an IP address that does not change over time, but it does not determine the access to the database; a dynamic IP address is an IP address that changes periodically, but it does not control the traffic to the database; an IDNS is an Internet Domain Name System, which translates domain names into IP addresses, but it does not regulate the access to the database. References: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.2 Given a scenario, implement security controls for databases.

The index that stores records in a tabular format is columnstore. A columnstore index is a type of index that stores and compresses data by columns rather than by rows. A columnstore index can improve the performance and efficiency of queries that perform aggregations, calculations, or analysis on large amounts of data, such as data warehouse or business intelligence applications. A columnstore index can also reduce the storage space required for data by applying various compression techniques, such as dictionary encoding, run-length encoding, bit packing, etc. The other options are either different types of indexes or not related to indexes at all. For example, a non-clustered index is a type of index that stores the values of one or more columns in a sorted order along with pointers to the corresponding rows in the table; a unique index is a type of index that enforces uniqueness on one or more columns in a table; a secondary index is an alternative term for a non-clustered index. References: CompTIA DataSys+ Course Outline, Domain 3.0 Database Management and Maintenance, Objective 3.1 Given a scenario, perform common database maintenance tasks.

The best way to migrate a large data load from one table to another, considering total time and blocking, is to batch into small loads and run in parallel. This means that the large data load is divided into smaller chunks that can be processed simultaneously by multiple threads or processes. This reduces the total time required for the migration and also minimizes the blocking of other operations on the tables involved. The other options are either less efficient or more prone to blocking. For example, splitting the load size into many transactions may increase the overhead and latency of each transaction; splitting the load size in half and running simultaneously may still cause blocking or contention; batching large loads into one transaction may take longer and lock the tables for longer periods. References: CompTIA DataSys+ Course Outline, Domain 3.0 Database Management and Maintenance, Objective 3.3 Given a scenario, migrate data between databases.

The correct answer is B. To specify how data is sorted in a database. CompTIA DataSys+ explains that the COLLATE clause defines the collation rules applied to character-based data in a column. Collation determines how string data is compared, sorted, and evaluated, including rules for alphabetical order, case sensitivity, accent sensitivity, and character encoding. These rules directly affect query results, indexing behavior, and comparison operations involving textual data.

When a COLLATE clause is included in a column definition, it overrides the database or server default collation for that specific column. This is especially important in environments that support multiple languages or regional settings, where sorting and comparison rules may differ. For example, case-insensitive collations treat uppercase and lowercase letters as equivalent, while case-sensitive collations do not. DataSys+ highlights that incorrect collation settings can lead to unexpected query results, inefficient indexing, or inconsistent application behavior.

Option A is incorrect because computed columns and indexing behavior are defined through expressions and index definitions, not collation rules. Option C, functional dependency, relates to normalization theory and the relationship between attributes in a relational schema; collation has no impact on dependency enforcement. Option D describes data validation, which is handled through constraints such as CHECK, NOT NULL, or data types—not collation.

CompTIA DataSys+ emphasizes that DBAs must understand how collation affects sorting, grouping, and comparison operations, especially for reporting and internationalized applications. Proper use of the COLLATE clause ensures consistent behavior across queries and prevents subtle bugs related to string comparisons.

Therefore, the primary purpose of including a COLLATE clause in a column definition is to control how textual data is sorted and compared, making option B the correct and verified answer.

The best tool for the database administrator to document and explain the relationships between data in an organization’s database is a UML editor. A UML editor is a software application that allows users to create, edit, and visualize diagrams using the Unified Modeling Language (UML). UML is a standard language for modeling software systems and their components, such as classes, objects, relationships, behaviors, etc. UML can also be used to document and explain the relationships between data in an organization’s database by creating entity relationship diagrams (ERDs), which are graphical representations of the entities (tables), attributes (columns), and relationships (constraints) in a database. A UML editor can help the administrator to document and explain the relationships between data by providing features such as drag-and-drop, templates, symbols, validation, etc. The other options are either not suitable or not optimal for this task. For example, a text editor is a software application that allows users to create and edit plain text files; a word processor is a software application that allows users to create and edit text documents; an SQL query is a statement that performs an operation on a database using Structured Query Language (SQL). References: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.2 Given a scenario, create database objects using scripting and programming languages.

A reason to create a stored procedure is to improve performance. A stored procedure is a set of SQL statements or commands that are stored and compiled in the database server, and can be executed by name or by a trigger. A stored procedure can improve performance by reducing the network traffic between the client and the server, as only the name or the parameters of the stored procedure need to be sent, rather than the entire SQL code. A stored procedure can also improve performance by reusing the same execution plan, as the stored procedure is compiled only once and cached in the server memory. The other options are either not true or not relevant for this purpose. For example, a stored procedure does not necessarily minimize storage space, as it still occupies space in the database server; a stored procedure does not bypass case sensitivity requirements, as it still follows the rules of the database system; a stored procedure does not give control of the query logic to the user, as it is defined and maintained by the database administrator or developer. References: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.2 Given a scenario, create database objects using scripting and programming languages.

The correct answers are D. It can contain more than one data file and F. It can be used to organize data in a database. CompTIA DataSys+ describes a tablespace as a logical storage container used by a database to organize how data is physically stored on disk. Tablespaces provide an abstraction layer between the logical database objects and the physical storage files.

A tablespace can include multiple data files, which allows database administrators to distribute data across different disks or storage systems. This capability supports scalability, performance optimization, and high availability. By adding or resizing data files within a tablespace, administrators can expand storage capacity without restructuring the database schema. DataSys+ highlights this as a key advantage for capacity planning and storage management.

Tablespaces are also used to organize data within a database. Different tablespaces can be created for different purposes, such as separating user data, indexes, temporary data, and system metadata. This organization improves performance tuning, simplifies backup and recovery operations, and enhances manageability. For example, placing indexes in a separate tablespace from table data can reduce I/O contention.

Option A is incorrect because a tablespace belongs to a single database and cannot span multiple databases. Option B is misleading; while tablespaces map to data files, blocks are allocated within files, not mixed arbitrarily across files. Option C is incorrect because segments are allocated in extents, and their sizing behavior is controlled by storage parameters, not defined as a primary purpose of tablespaces. Option E is incorrect because tablespaces represent disk-based storage, not memory-resident structures.

CompTIA DataSys+ emphasizes understanding logical versus physical storage concepts. Tablespaces play a central role in bridging these concepts by organizing data logically while enabling flexible physical storage management. Therefore, the best descriptions of a tablespace are D and F, making them the correct and verified answers.

The query that the administrator should use to create the table is option B. This query uses the CREATE TABLE statement to define a new table named XYZ with three columns: ID, Name, and Age. Each column has a data type and a constraint, such as NOT NULL, PRIMARY KEY, or CHECK. The other options either have syntax errors, use incorrect keywords, or do not specify the table name or columns correctly. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.1 Given a scenario, identify and apply database structure types.

The option that is part of logical database infrastructure security is perimeter network. Perimeter network, also known as DMZ (Demilitarized Zone), is a network segment that lies between an internal network and an external network, such as the internet. Perimeter network provides an additional layer of security for the internal network by isolating and protecting the servers or services that are exposed to the external network, such as web servers, email servers, database servers, etc. Perimeter network also helps prevent unauthorized access or attacks from the external network to the internal network by using firewalls, routers, proxies, etc. The other options are either part of physical database infrastructure security or not related to database infrastructure security at all. For example, surveillance is a method of monitoring and recording physical activities or events in a location or resource; biometric access is a device that uses biological characteristics to control access to a physical location or resource; cooling system is a device or system that regulates the temperature and humidity of a location or resource. References: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.1 Given a scenario, implement database infrastructure security.

The principle that addresses this issue is least privilege. Least privilege is a security principle that states that users should only have the minimum level of access or permissions required to perform their tasks or roles. By applying this principle, the administrator can ensure that users cannot change data unless they have been authorized by the management team through a request approval process. This prevents unauthorized or accidental modifications of data that may compromise its integrity or security. The other options are either opposite or unrelated to this principle. For example, open access means that users have unrestricted access to data; least resistance means that users have the easiest or most convenient access to data; elevated privilege means that users have higher or more permissions than they need. References: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.1 Given a scenario, apply security principles and best practices for databases.

The resource that is the best way to lock rows in SQL Server is RID. RID, or Row IDentifier, is an attribute that uniquely identifies each row in a heap table in SQL Server. A heap table is a table that does not have a clustered index, which means that the rows are not stored in any particular order. A RID consists of the file number, page number, and slot number of the row in the database. A RID can be used to lock rows in SQL Server to prevent concurrent access or modification by other transactions or users. A RID lock is a type of lock that locks a single row using its RID. A RID lock can be applied using the HOLDLOCK or XLOCK hints in a SELECT statement. The other options are either not related or not effective for this purpose. For example, TID, or Transaction IDentifier, is an attribute that uniquely identifies each transaction in a database; SID, or Security IDentifier, is an attribute that uniquely identifies each user or group in a Windows system; PID, or Process IDentifier, is an attribute that uniquely identifies each process in an operating system. References: CompTIA DataSys+ Course Outline, Domain 3.0 Database Management and Maintenance, Objective 3.3 Given a scenario, implement database concurrency methods.

The constraint that is used to enforce referential integrity is foreign key. A foreign key is a column or a set of columns in a table that references the primary key of another table. A primary key is a column or a set of columns in a table that uniquely identifies each row in the table. Referential integrity is a rule that ensures that the values in the foreign key column match the values in the primary key column of the referenced table. Referential integrity helps maintain the consistency and accuracy of the data across related tables. The other options are either different types of constraints or not related to referential integrity at all. For example, a surrogate key is a column that is artificially generated to serve as a primary key, such as an auto-increment number or a GUID (Globally Unique Identifier); a unique key is a column or a set of columns in a table that uniquely identifies each row in the table, but it can have null values unlike a primary key; there is no such constraint as TID. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.2 Given a scenario, execute database tasks using scripting and programming languages.

The correct answer is B. View. CompTIA DataSys+ documentation explains that views are virtual tables created from stored SQL queries that present data from one or more underlying tables without physically storing the data themselves. This makes views an ideal solution when users repeatedly query the same datasets and want consistent results without rewriting SQL statements.

In this scenario, the business analyst runs the same queries every quarter. By using a view, the analyst can simply query the view as if it were a table, eliminating the need to re-create complex SQL joins, filters, or aggregations each time. From a usability standpoint, views simplify access to data and reduce the likelihood of query errors, which aligns with DataSys+ objectives related to usability and abstraction.

From the database administrator’s perspective, views also help optimize disk space. Because views do not store data physically (unlike tables), they consume minimal storage while still providing a reusable query structure. This is especially important in environments where storage efficiency and performance tuning are key responsibilities of the DBA.

Option A, a table, would require duplicating data, increasing disk usage and maintenance overhead. Option C, a function, is typically used to return a calculated value and is not designed to represent reusable multi-row query results for reporting purposes. Option D, a stored procedure, can encapsulate logic and queries, but it is generally used for executing operations rather than providing a simple, queryable dataset for analysts. Stored procedures may also introduce additional complexity and are less intuitive for ad-hoc querying.

CompTIA DataSys+ emphasizes views as a best practice for abstraction, security, and efficiency. They support repeated reporting needs while preserving storage resources and simplifying database management. Therefore, B. View is the most accurate and fully aligned answer.

Guage

The best action for the administrator to take is to create a view. A view is a virtual table that shows a subset of data from one or more tables. The administrator can use a view to provide access to data from two different tables to multiple group users without exposing the restricted columns. The view can also simplify the queries and improve the performance of the reporting process. The other options are either not suitable for this scenario or do not address the requirement of hiding some columns from users. For example, creating a stored procedure would require additional coding and execution, creating a csv export would create a static file that may not reflect the latest data changes, and creating a trigger would perform an action in response to an event rather than provide access to data. References: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.2 Given a scenario, create database objects using scripting and programming languages.