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NEW QUESTION # 51
A database administrator needs to ensure database backups are occurring on a daily basis and at scheduled times. Which of the following actions should the administrator take?
Answer: B
Explanation:
The action that the administrator should take is to review the server logs for entries. Server logs are files that record the events and activities that occur on a server, such as database backups, errors, warnings, or failures. By reviewing the server logs, the administrator can verify that the database backups are occurring on a daily basis and at scheduled times, and also identify any issues or anomalies that may affect the backup process or the backup quality. The other options are either not relevant or not sufficient for this task. For example, querying the database to observe entries may not show the backup status or frequency, checking the database schema may not reflect the backup schedule or policy, and reviewing the backup media may not indicate the backup time or duration. 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 # 52
A database administrator needs to aggregate data from multiple tables in a way that does not impact the original tables, and then provide this information to a department. Which of the following is the best way for the administrator to accomplish this task?
Answer: A
Explanation:
The best way for the administrator to accomplish this task is to create a materialized view. A materialized view is a type of view that stores the result of a query on one or more tables as a separate table in the database. A materialized view can aggregate data from multiple tables in a way that does not impact the original tables, and then provide this information to a department as a single source of truth. A materialized view also improves query performance and efficiency by reducing the need to recompute complex queries every time they are executed. The other options are either not suitable or not optimal for this task. For example, creating indexes on those tables may improve query performance on individual tables, but not on aggregated data; creating a new database may require additional resources and maintenance, and may introduce inconsistency or redundancy; creating a function may require additional coding and execution, and may not store the result as a separate table. References: 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 # 53
(Which of the following is a CPU-intensive operation that improves database performance and information retrieval?)
Answer: A
Explanation:
The correct answer is C. Index optimization. CompTIA DataSys+ identifies index management and optimization as a critical database maintenance activity that can be CPU-intensive but significantly improves query performance and information retrieval. Index optimization involves reorganizing, rebuilding, or analyzing database indexes to ensure they are structured efficiently and aligned with query usage patterns.
Indexes act as data access paths that allow the database engine to locate rows quickly without scanning entire tables. Over time, as data is inserted, updated, or deleted, indexes can become fragmented, inefficient, or poorly aligned with current workloads. Index optimization processes use CPU resources to analyze index statistics, rebalance tree structures, and rebuild index pages. While these operations temporarily consume CPU cycles, they result in faster query execution, reduced I/O operations, and improved overall system performance.
Option A, database compression, can reduce storage usage and I/O, but it primarily trades CPU for disk savings and does not directly optimize query access paths. Option B, patch management, involves applying software updates and security fixes and does not improve data retrieval performance. Option D, data corruption checks, are integrity and validation operations designed to detect or prevent data loss, not to enhance query performance.
CompTIA DataSys+ emphasizes that performance tuning often involves deliberate resource trade-offs. Index optimization is a prime example: it consumes CPU during maintenance windows to deliver long-term performance benefits during normal database operations. Well-optimized indexes reduce query latency, improve response times, and enhance user experience, especially in read-heavy or reporting environments.
DataSys+ also highlights best practices such as scheduling index maintenance during low-usage periods and monitoring CPU impact to avoid service disruptions. When implemented correctly, index optimization is one of the most effective ways to improve database performance and information retrieval.
Therefore, the CPU-intensive operation that improves database performance and information retrieval is index optimization, making option C the correct and fully verified answer.
NEW QUESTION # 54
A company is launching a proof-of-concept, cloud-based application. One of the requirements is to select a database engine that will allow administrators to perform quick and simple queries on unstructured data.
Which of the following would be best suited for this task?
Answer: C
Explanation:
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.
NEW QUESTION # 55
Which of the following is used to hide data in a database so the data can only be read by a user who has a key?
Answer: B
Explanation:
The option that is used to hide data in a database so the data can only be read by a user who has a key is data encryption. Data encryption is a process that transforms data into an unreadable or scrambled form using an algorithm and a key. Data encryption helps protect data from unauthorized access or modification by third parties, such as hackers, eavesdroppers, or interceptors. Data encryption also helps verify the identity and authenticity of the source and destination of the data using digital signatures or certificates. Data encryption can be applied to data at rest (stored in a database) or data in transit (transmitted over a network). To read encrypted data, a user needs to have the corresponding key to decrypt or restore the data to its original form.
The other options are either different concepts or not related to hiding data at all. For example, data security is a broad term that encompasses various methods and techniques to protect data from threats or risks; data masking is a technique that replaces sensitive data with fictitious but realistic data to protect its confidentiality or compliance; data protection is a term that refers to the legal or ethical obligations to safeguard personal or sensitive data from misuse or harm. References: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.2 Given a scenario, implement security controls for databases.
NEW QUESTION # 56
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