Sure Pass Exam CAS-004 PDF

Immutable infrastructure through containers ensures that the deployed systems remain consistent and resistant to drift. Any changes require rebuilding and redeploying containers, eliminating configuration inconsistencies. This aligns with CASP+ objective 2.2, which emphasizes implementing scalable, secure system configurations.

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The data owner is best qualified to classify systems and data in accordance with external requirements. The data owner is responsible for determining how data should be classified based on its sensitivity, value, and regulatory requirements. They have the authority to decide on classification levels such as public, confidential, or secret, and ensure compliance with external standards. Other roles, like data custodians or processors, support the implementation of data management, but the data owner has the final responsibility for classification. CASP+ highlights the role of data owners in determining data classification and ensuring compliance with external requirements.

References:

CASP+ CAS-004 Exam Objectives: Domain 1.0 – Risk Management (Data Classification and Data Owner Responsibilities)

CompTIA CASP+ Study Guide: Data Classification and Governance Responsibilities of the Data Owner

To prioritize server replacements based on the likelihood of failure, the MTBF (Mean Time Between Failures) metric is most appropriate. MTBF provides a measure of the average time a server or system is expected to operate before experiencing failure. This allows the management team to assess which servers are more likely to fail soon, irrespective of the application criticality, and thus should be replaced first. CASP+ highlights the use of MTBF in hardware lifecycle management and risk assessments.

References:

CASP+ CAS-004 Exam Objectives: Domain 1.0 – Risk Management (MTBF in Hardware Lifecycle)

CompTIA CASP+ Study Guide: Server Risk Assessments Using MTBF and Reliability Metrics

The observation that the load balancer has only a single server assigned suggests an issue with scalability. Scalability refers to the ability of the system to handle increasing loads by adding resources. In this case, having a single server assigned to a load balancer may not be adequate to handle increased traffic or load, which could lead to performance issues.