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| Section | Weight | Objectives |
|---|---|---|
| Business Continuity | 12% | - High availability and fault tolerance - Backup and restoration methods - RTO and RPO definitions and application - Disaster recovery planning and strategies |
| Database Fundamentals | 24% | - Database structure types and characteristics - Scripting methods and environments - Impact of programming on database operations - SQL development, modification, and execution |
| Data and Database Security | 23% | - Data security concepts and techniques - Attack types and defense measures - Infrastructure security and threat mitigation - Authentication, authorization, and access control - Governance, risk, and compliance |
| Database Deployment | 16% | - Implementation, testing, and deployment phases - Database planning and design considerations - Migration and integration strategies |
| Database Management and Maintenance | 25% | - Performance monitoring and reporting - Data lifecycle management - Documentation and configuration management - Routine maintenance processes and tasks |
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NEW QUESTION # 95
A database administrator manages a database server that is running low on disk space. A lot of backup files are stored on the server's disks.
Which of the following is the best action for the administrator to take?
Answer: B
Explanation:
The best action for the administrator to take is to delete all the backup files that are not required by the backup retention policy. This will free up disk space on the server and also comply with the best practices for data backup and recovery. The backup retention policy defines how long the backup files should be kept and when they should be deleted or archived. The other options are either risky, inefficient, or impractical. For example, moving all the backup files to external disks would require additional hardware and time, deleting all the backup files containing data that is rated as classified would compromise data security and compliance, and deleting all the backup files except for the most recent one would limit the recovery options in case of a disaster. Reference: CompTIA DataSys+ Course Outline, Domain 5.0 Business Continuity, Objective 5.2 Given a scenario, implement backup and restoration of database management systems.
NEW QUESTION # 96
A database administrator is updating an organization's ERD. Which of the following is the best option for the database administrator to use?
Answer: A
Explanation:
The best option for the database administrator to use to update an organization's ERD is a UML tool. A UML tool 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 create entity relationship diagrams (ERDs), which are graphical representations of the entities (tables), attributes (columns), and relationships (constraints) in a database. A UML tool can help the administrator to update an organization's ERD 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 word processor is a software application that allows users to create and edit text documents; a spreadsheet is a software application that allows users to organize and manipulate data in rows and columns; an HTML editor is a software application that allows users to create and edit web pages using HyperText Markup Language (HTML). Reference: CompTIA DataSys+ Course Outline, Domain 2.0 Database Deployment, Objective 2.2 Given a scenario, create database objects using scripting and programming languages.
NEW QUESTION # 97
Which of the following NoSQL database types best categorizes MongoDB?
Answer: A
Explanation:
The NoSQL database type that best categorizes MongoDB is document. Document databases are databases that store and manage data as documents, which are collections of fields and values in formats such as JSON (JavaScript Object Notation) or XML (Extensible Markup Language). Document databases do not use any schema or structure to organize data, but rather use identifiers or indexes to enable flexible and dynamic access to data based on fields or values. Document databases are suitable for storing large amounts of complex or unstructured data that have variable attributes or nested structures. MongoDB is an example of a document database that uses JSON-like documents to store and query data. The other options are either different types of NoSQL databases or not related to NoSQL databases at all. For example, column-oriented databases are databases that store and manage data as columns rather than rows; graph databases are databases that store and manage data as nodes and edges that represent entities and relationships; key-value stores are databases that store and manage data as pairs of keys and values. References: CompTIA DataSys+ Course Outline, Domain 1.0 Database Fundamentals, Objective 1.1 Given a scenario, identify common database types.
NEW QUESTION # 98
(New users at a company are reporting that the system is not accepting new credentials when the users are asked to change the credentials for the first time. Which of the following is the reason the credentials are being rejected?)
Answer: D
Explanation:
The correct answer is D. Password policies. CompTIA DataSys+ emphasizes that password policies are a core component of authentication and security controls within database systems and enterprise environments.
When new users are required to change their credentials for the first time, the system typically enforces predefined password rules. If the new credentials do not meet these rules, the system will reject them automatically.
Password policies define specific requirements such as minimum password length, complexity (use of uppercase letters, lowercase letters, numbers, and special characters), password history, expiration intervals, and restrictions against using previously compromised or common passwords. In many environments, first- time password changes are subject to the strictest enforcement of these rules to ensure strong baseline security from the start of a user's lifecycle.
Option A, identity management, focuses on the creation, provisioning, and lifecycle management of user identities across systems. While identity management systems initiate the credential change process, they do not usually enforce the detailed rules that cause a password to be rejected. Option B, access controls, govern what resources a user can access after authentication, not whether a password itself is valid. Option C, service accounts, are non-interactive accounts used by applications or services and are unrelated to new end-user credential changes.
DataSys+ documentation highlights that authentication failures during credential updates are most commonly tied to policy enforcement, not permissions or account type. This includes scenarios where users unknowingly violate complexity rules or reuse default or temporary passwords that are explicitly disallowed.
Therefore, the rejection of new credentials during a first-time password change is best explained by password policies, making option D the most accurate and verified answer according to CompTIA DataSys+ principles.
NEW QUESTION # 99
Which of the following constraints is used to enforce referential integrity?
Answer: D
Explanation:
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 reference 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.
NEW QUESTION # 100
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