Last updated on Jun 23, 2026
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Question 418: Correct answer: D. Code review Why: Verifying application program controls means checking that the software itself enforces the designed controls (e.g., input validation, authorization, processing integrity). A code review directly examines the program logic and control implementation to confirm these controls exist and are correctly applied. Why the others are less appropriate: - Observation of data entry: evaluates manual controls in operation, not embedded program controls. - Statistical sampling: tests a sample of transactions, not specifically verification of control logic in the code. - Use of test data: tests processing with predefined inputs, but may not cover all control paths or confirm correct implementation across the entire application. Note: Code reviews are often complemented by testing and documentation, but for verifying program controls, code review is the most appropriate technique.
Question 418:
Question 401:Answer: A. The integrity of data processed by end user tools. Why this is correct: EUC tools (like spreadsheets) often bypass centralized change controls. If the data they produce is unreliable, any conclusions or reports from those tools can be false, regardless of other controls. When planning an EUC assessment, the auditor focuses on data quality, accuracy, completeness, and traceability of inputs/outputs from end-user tools. Why the other options are less critical for planning: Inclusion of end user tools in the IT balanced scorecard: useful for governance visibility but doesn’t address the fundamental risk to data reliability. Identification of IT owners for each end user tool: governance and accountability are important, but without data integrity, ownership alone offers limited assurance. Training program curriculum for key end users: important for capability, but data integrity issues exist regardless of training. Key audit steps (brief): Inventory critical EUC tools and data flows. Assess data sources, input validation, formulas, and reconciliation with trusted data. Review version control, change management, and access controls for EUC tools.
Question 401:Answer: A. The integrity of data processed by end user tools. Why this is correct:
Question 392: Correct answer: D – Examine project change request logs Why: A post-implementation review (PIR) assesses ongoing governance and how changes are managed after go-live. Examining change request logs verifies that changes to the application are properly documented, authorized, tracked, and aligned with policy. It also helps assess the effectiveness of change control, including back-outs and impact analysis. Why the other options are less appropriate for PIR: - Test program system interfaces: typically done during integration or acceptance testing, not a six-month PIR. - Verify the accuracy of data conversions: usually a pre/post go-live data migration test; by six months, ongoing data issues would be handled via data quality reviews rather than conversion checks. - Assess project management risk reports: produced during the project; PIR focuses more on ongoing operation and change management rather than project artifacts. Audit tips: sample change entries, verify approvals, check for adherence to the change management process, review emergency changes, and ensure there’s evidence of testing and rollback plans.
Question 392:
Question 356: Answer: B Understanding the data classification levels Explanation: In a data classification program, the first and most critical step is defining the classification levels and the criteria for each level. This framework drives which controls, labeling, access, retention, and protection measures apply to data. Without clear levels, planning (storage), ownership roles, and privacy policy cannot be effectively aligned to risk and regulatory requirements. The other options are important but depend on having established classification levels.
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Question 312: Correct answer: Post-implementation review phase. Why: Benefits realization analysis assesses whether the project actually delivered the expected business value after it is implemented and in operation. This phase uses real metrics (KPIs, ROI, cost savings, user adoption) to compare actual results against the business case and baseline. Why not other phases: - Design review phase: checks if the design could deliver benefits, not whether benefits were realized. - User acceptance testing (UAT) phase: verifies the system meets requirements, not the realized value. - Final implementation phase: deployment readiness; may start tracking benefits but realization is assessed later. What to do in post-implementation: - Collect and compare actual benefits to the business case. - Measure KPIs, ROI, payback, cost savings, productivity gains. - Document variances and lessons learned to improve future initiatives. ISACA relevance: aligns with governance and value delivery, ensuring the IT investment actually delivers planned benefits.
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Question 302: Correct answer: C — based on the results of an organization-wide risk assessment. Why: Data classification standards should reflect the organization’s risk landscape. A risk assessment identifies which information assets are most sensitive or critical and the potential impact if they are compromised. This ensures classification levels (e.g., public, internal, confidential) align with actual risk, not just subjective notions of confidentiality or other single factors. Why the other options are less appropriate: A: Focusing only on confidentiality ignores impacts on integrity and availability and may misclassify data. B: Segregation of duties relates to roles/access control, not how data should be classified. D: Authentication requirements pertain to user identity controls, not the data’s classification framework. Practical approach: 1) conduct an organization-wide risk assessment to identify critical/sensitive data 2) define classification levels tied to risk (impact to confidentiality, integrity, availability) 3) establish handling, access, and protection controls accordingly 4) implement and periodically review classifications as risks evolve.
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Question 293: Correct answer: C. Evidence of population completeness is not maintained. Why: The greatest risk with automated sampling is not knowing that the sampling frame is complete and representative of the entire population. If population completeness isn’t evidenced, results may be biased or incomplete, undermining audit conclusions. Why the other options are less critical: A: Sampling only from the current period can introduce bias, but it’s a narrower issue than lacking population completeness. B: Removing auditor judgment is a concern, but automation can be designed with safeguards; it’s not the single greatest risk here. D: Manual validation before loading data adds effort but doesn’t inherently threaten the validity of the sampling frame itself.
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Question 291: Correct answer: B. focus the team on internal controls. Why: The CSA facilitator’s primary job is to guide the session and keep participants focused on evaluating internal controls, ensuring the process is objective and productive. They steer discussions, keep scope on controls, and help collect evidence. Why the other options are not correct: A: Providing solutions for control weaknesses is not the facilitator’s main role; solutions typically come from the team or auditors after the assessment. C: Reporting on weaknesses is generally done by the CSA team or management after findings are developed. D: Conducting interviews to gain background information is part of data gathering, but not the primary role—the focus should remain on controls throughout the CSA.
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Question 287: Correct answer: D Why: The lack of a formal recertification process means inventory data may become stale and inaccurate over time. Without periodic verification, ownership, statuses, risk rankings, and contact details can change, undermining asset management, compliance, and change control. Why not the others: - A (data is available on intranet): Ease of access improves usability but doesn’t directly indicate data quality. - B (no formal risk ranking for all apps): A gap in risk ranking affects risk assessment, but the data itself may still be accurate; recertification more directly ensures ongoing accuracy. - C (owner/contact fields not required): This affects completeness, but without recertification, even added fields may drift; however, recurrence checks ensure all fields stay current. Takeaway: For an IT asset inventory, implementing a formal recertification process is key to maintaining accurate, up-to-date data and effective governance.
Question 287:
Question 286: Correct answer: B Why: The post-implementation review should verify that the system satisfies the business requirements. UAT results show whether users validated that the system meets their needs, and sign-off from users provides formal evidence that the requirements have been met. Why not the others: - PMO closure reports and lessons learned focus on project process, not whether the business needs were fulfilled. - Difference between budgeted and actual expenditures assesses cost performance, not whether the system delivers required functionality. - Expected vs actual benefits relates to benefits realization, which is important but may be influenced by factors beyond the system’s ability to meet requirements; it’s less direct than user acceptance evidence. Takeaway: In post-implementation reviews, evidence of requirement fulfillment from end users (UAT results and sign-off) is the most direct indication that the application meets business needs.
Question 286: