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| Section | Weight | Objectives |
|---|---|---|
| Database Management and Maintenance | 25% | - Data lifecycle management - Documentation and configuration management - Routine maintenance processes and tasks - Performance monitoring and reporting |
| Business Continuity | 12% | - High availability and fault tolerance - Backup and restoration methods - RTO and RPO definitions and application - Disaster recovery planning and strategies |
| Database Deployment | 16% | - Migration and integration strategies - Implementation, testing, and deployment phases - Database planning and design considerations |
| Database Fundamentals | 24% | - Scripting methods and environments - SQL development, modification, and execution - Database structure types and characteristics - Impact of programming on database operations |
| Data and Database Security | 23% | - Governance, risk, and compliance - Infrastructure security and threat mitigation - Attack types and defense measures - Authentication, authorization, and access control - Data security concepts and techniques |
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NEW QUESTION # 97
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: D
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. Reference: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.2 Given a scenario, implement security controls for databases.
NEW QUESTION # 98
Which of the following is a characteristic of a multizone region in a disaster recovery policy?
Answer: A
Explanation:
A multizone region in disaster recovery involves distributing resources across three or more availability zones to ensure resilience and fault tolerance within a single geographic region.
NEW QUESTION # 99
(A database manager would like to reduce the overhead caused by log-based recoveries. Which of the following should the manager use to best mitigate the situation?)
Answer: B
Explanation:
The correct answer is B. Checkpoints. CompTIA DataSys+ explains that checkpoints play a critical role in database recovery mechanisms by limiting the amount of transaction log data that must be processed during recovery. Log-based recovery relies on transaction logs to restore the database to a consistent state after a failure. If checkpoints are infrequent, the database engine must replay a large portion of the transaction log, which increases recovery time and system overhead.
A checkpoint is a process where the database writes all modified (dirty) pages from memory to disk and records a synchronization point in the transaction log. After a checkpoint completes, the database knows that all changes up to that point are safely stored on disk. During recovery, the system only needs to process log entries that occurred after the most recent checkpoint, significantly reducing recovery workload and time.
DataSys+ highlights checkpoints as a key performance and availability feature, especially in systems with high transaction volumes.
Option A, deadlocks, are concurrency issues that occur when two or more transactions block each other indefinitely. While deadlock handling is important for transaction throughput, it does not reduce log-based recovery overhead. Option C, locks, control concurrent access to data and help maintain consistency, but they do not affect how much log data must be replayed during recovery. Option D, indexes, improve query performance but can actually increase logging activity because index changes are also logged.
CompTIA DataSys+ emphasizes that effective recovery planning includes optimizing logging behavior and checkpoint frequency. Properly configured checkpoints strike a balance between runtime performance and recovery efficiency by reducing excessive log replay without causing unnecessary disk I/O.
Therefore, to best mitigate the overhead caused by log-based recoveries, the database manager should use checkpoints, making option B the correct and fully verified answer.
NEW QUESTION # 100
A group of developers needs access to a database in a development environment, but the database contains sensitive dat a. Which of the following should the database administrator do before giving the developers access to the environment?
Answer: C
Explanation:
The database administrator should mask the sensitive data before giving the developers access to the environment. Data masking is a technique that replaces sensitive data with fictitious but realistic data, such as random numbers or characters, to protect it from unauthorized access or exposure. Data masking preserves the format and structure of the original data, but does not reveal its actual value. This allows developers to work with realistic data without compromising its confidentiality or compliance. The other options are either insufficient or excessive for this scenario. For example, auditing access to tables with sensitive data may help monitor and track who accesses the data, but does not prevent it from being seen; removing sensitive data from tables may compromise the quality or completeness of the data, and may not be feasible if there is a large amount of data; encrypting connections to the development environment may protect the data in transit, but not at rest or in use. Reference: CompTIA DataSys+ Course Outline, Domain 4.0 Data and Database Security, Objective 4.2 Given a scenario, implement security controls for databases.
NEW QUESTION # 101
A database administrator needs to ensure data that is being migrated from a company's system to a third-party vendor is secure. Which of the following is the best security measure for the administrator to implement?
Answer: A
Explanation:
Server-side encryption protects data during migration by encrypting it, ensuring confidentiality and security when transferring to a third-party vendor.
NEW QUESTION # 102
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2026 Latest Prep4sures DS0-001 PDF Dumps and DS0-001 Exam Engine Free Share: https://drive.google.com/open?id=1UGqocKWIE8iEWOQGXK0bpEzqtpQtf0Ev