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| Section | Weight | Objectives |
|---|---|---|
| Business Continuity | 12% | - Continuity planning
|
| Database Fundamentals | 24% | - SQL development
|
| Database Management and Maintenance | 25% | - Monitoring and reporting
|
| Data and Database Security | 23% | - Security controls
|
| Database Deployment | 16% | - Implementation and testing
|
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NEW QUESTION # 19
Which of the following sets the age requirement for data that should be recovered after a major disaster?
Answer: B
Explanation:
The option that sets the age requirement for data that should be recovered after a major disaster is RPO. RPO, or Recovery Point Objective, is a metric that defines the maximum amount of data that can be lost or acceptable data loss in the event of a disaster or disruption. RPO indicates how frequently the data should be backed up or replicated to minimize the risk of data loss. RPO also sets the age requirement for data that should be recovered after a major disaster, as it determines how far back in time the recovery process should go. For example, if the RPO is one hour, then the data should be backed up or replicated every hour, and the recovery process should restore the data to the state it was in one hour before the disaster. The other options are either different metrics or not related to data recovery at all. For example, MTBF, or Mean Time Between Failures, is a metric that measures the average time that a system or component operates without failure; RTO, or Recovery Time Objective, is a metric that defines the maximum amount of time that can be taken to restore a system or service after a disaster or disruption; MTTF, or Mean Time To Failure, is a metric that measures the average time that a system or component operates until it fails.
NEW QUESTION # 20
Which of the following types of RAID, if configured with the same number and type of disks, would provide the best write performance?
Answer: B
Explanation:
The type of RAID that would provide the best write performance if configured with the same number and type of disks is RAID 10. RAID 10, or RAID 1+0, is a type of RAID that combines mirroring and striping techniques to provide both redundancy and performance. Mirroring means that data is duplicated across two or more disks to provide fault tolerance and data protection. Striping means that data is split into blocks and distributed across two or more disks to provide faster access and throughput. RAID 10 requires at least four disks and can tolerate the failure of up to half of the disks without losing data. RAID 10 provides the best write performance among the RAID types because it can write data in parallel to multiple disks without parity calculations or overhead. The other options are either different types of RAID or not related to RAID at all.
For example, RAID 3 is a type of RAID that uses striping with a dedicated parity disk to provide redundancy and performance; RAID 5 is a type of RAID that uses striping with distributed parity to provide redundancy and performance; RAID 6 is a type of RAID that uses striping with double distributed parity to provide extra redundancy and performance. References: CompTIA DataSys+ Course Outline, Domain 3.0 Database Management and Maintenance, Objective 3.1 Given a scenario, perform common database maintenance tasks.
NEW QUESTION # 21
Which of the following best describes the function of a wildcard in the WHEREclause?
Answer: B
Explanation:
A wildcard in the WHERE clause allows pattern matching instead of requiring an exact match when filtering records in a SELECT statement.
NEW QUESTION # 22
Which of the following qualifiers removes duplicate records from a SQL SELECT statement when included in a query?
Answer: C
NEW QUESTION # 23
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 # 24
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