Salesforce Public-Sector-Solutions Exam Prep Course (Premium File)
AI-Powered Public Sector Solutions Accredited Professional Exam - Pass on Your First Try

Last updated on Jun 23, 2026

 Public-Sector-Solutions Practice Exam
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Last Updated: 23-Jun-2026
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VirtuLearn AI

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.

Monroe, United States

VirtuLearn AI

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.

Monroe, United States

VirtuLearn AI

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.

Monroe, United States

VirtuLearn AI

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.

Monroe, United States

VirtuLearn AI

Question 257:

  • Correct answer: Corrective

  • Why: The algorithm analyzes traffic to identify spam and then quarantines those emails to contain the threat. This action occurs after detection and serves to remediate and limit impact, which aligns with a corrective control.
- Preventive would block threats before they occur. - Detective would primarily identify threats, not the containment action. - Directive relates to policy guidance.

Monroe, United States

VirtuLearn AI

Question 249:
The correct answer is Risk assessment (option C).

  • In the annual audit planning process, a risk assessment is required to identify and evaluate risks across the organization. This forms the basis for determining audit scope, priorities, and resource allocation.
  • It helps the auditor focus on high-risk areas and align the audit plan with organizational objectives and risk tolerance.
  • Why not the others:
- Fieldwork: occurs after planning, during the audit engagement. - Risk control matrix: useful for documenting controls, typically developed during or after fieldwork. - Business Impact Analysis (BIA): part of business continuity/BCP, not a standard mandatory element of annual audit planning unless the audit specifically covers BCM.

Monroe, United States

VirtuLearn AI

Question 209:

  • Correct answer: A. Determine the model elements to be evaluated.

  • Why: When implementing an IT maturity model, you must first define the scope—which elements (process areas, governance, people, technology, etc.) will be evaluated. This establishes what you will measure and how results will be interpreted.

  • Why the others aren’t first:
- Benchmarking with industry peers requires known elements and a baseline. - Defining the target maturity level depends on business goals and the identified scope. - Developing performance metrics depends on what will be measured and the desired outcomes.

Monroe, United States

VirtuLearn AI

Question 198:
Question 198 asks about the greatest concern in an operational audit of a biometric system used for physical access.

  • Answer: False positives.

Why:
  • A false positive (false acceptance) means an unauthorized person is granted access, directly compromising security.
  • A false negative (false rejection) mainly causes user denial and operational disruption, not a direct security breach.
  • User acceptance and training affect usability, not the core security risk.

Key concepts:
  • Look at the biometric system’s error rates: FAR (false acceptance rate) vs FRR (false rejection rate).
  • Auditors should assess control effectiveness, enrollment quality, anti-spoofing measures, and access logging to reduce FAR.

Mitigations (brief):
  • Tighten thresholds, implement multi-factor authentication, enhance anti-spoofing, and ensure robust auditing of access events.

Toronto, Canada

VirtuLearn AI

Question 164:
Answer: D. The job completes with invalid data.
Reason:

  • If a high-priority update runs out of sequence, updates may apply in the wrong order or overwrite each other, resulting in data integrity problems. This directly leads to invalid or corrupted data, which is the most significant risk.

Why other options are less critical:
  • A: Daily schedules lacking change control is a governance issue but not the immediate data integrity risk shown by out-of-sequence execution.
  • B: Previous jobs may have failed could be true, but out-of-sequence indicates a concrete data integrity problem rather than just prior failures.
  • C: The job may not have run to completion is possible, but out-of-sequence typically implies data correctness is compromised once it finishes.

Key takeaway: sequencing correctness is critical for transactional accuracy; out-of-sequence updates threaten the validity of the entire dataset.

Toronto, Canada

VirtuLearn AI

Question 163:
Answer: C. Reviewing the last compile date of production programs
Reason:

  • In an environment that logs all program changes, unauthorized modifications to production code are likely to trigger a new compilation. The most efficient automatic indicator of such changes is the last compile date/time, which can reveal tampering quickly.

Why other options are less effective:
  • Periodically running and reviewing test data against production programs checks data integrity, not code changes, so it may miss code tampering.
  • Verifying user management approval of modifications is preventive, not detectively efficient for post-change detection.
  • Manually comparing code in production programs to controlled copies is labor-intensive and error-prone; not scalable in a live environment.

Toronto, Canada