Isaca AAIA Practice Test 119
Question 1180
An independent AI auditor reviews this case: An executive AI audit summary presents an aggregate green score despite unresolved high-impact data privacy issues. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
- Review workpaper references, criteria applicability, causal support, impact and corrective proposal.
- Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
- Reconcile source populations, failed records, joins and transformations before interpreting AI audit analytics.
- Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers.
Explanation
Correct Answers
C:The reason it is necessary is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages. The acceptable verified outcome is: Readers can identify significant control weaknesses and understand what was and was not tested.
E:The reason it is necessary is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages. This response fits the risk associated with Board-ready communication of AI audit limitations: Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers.
Incorrect Answers
A:This attractive shortcut does not resolve the Board-ready communication of AI audit limitations weakness: Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring. Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers.
B:This option concerns Clear AI audit finding criteria cause effect, which is a related but different AI governance concern. It does not establish control effectiveness for Board-ready communication of AI audit limitations.
D:This option concerns Audit data completeness and reconciliation, which is a related but different AI governance concern. The decisive principle here is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
Question 1181
A governance and assurance review uncovers the following: A compliance report calls a black-box vendor model fully audited even though key evidence was withheld. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.
- Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
- Require action owners, committed dates, independent post-change tests and residual-risk decisions to close findings.
- Define the AI audit universe and scope using use-case impact, third parties, control reliance and key risk scenarios.
Explanation
Correct Answer
A:The reason it is necessary is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages. Independent audit evidence includes: Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
Incorrect Answers
B:This attractive shortcut does not resolve the Board-ready communication of AI audit limitations weakness: Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring. Effective closure requires: Readers can identify significant control weaknesses and understand what was and was not tested.
C:This option concerns Management response and remediation validation, which is a related but different AI governance concern. It does not establish control effectiveness for Board-ready communication of AI audit limitations.
D:This option concerns Risk-based AI audit universe and scope, which is a related but different AI governance concern. It does not establish control effectiveness for Board-ready communication of AI audit limitations.
Question 1182
A risk-based audit engagement examines this operating condition: A compliance report calls a black-box vendor model fully audited even though key evidence was withheld. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.
- Audit reports should make supported issues intelligible to accountable stakeholders without overstating certainty.
- Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
- Incomplete populations and silent joins can bias control effectiveness conclusions.
Explanation
Correct Answer
B:The corrective action is: Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers. Independent audit evidence includes: Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
Incorrect Answers
A:This option concerns Clear AI audit finding criteria cause effect, which is a related but different AI governance concern. The decisive principle here is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
C:This attractive shortcut does not resolve the Board-ready communication of AI audit limitations weakness: Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring. For this situation: A compliance report calls a black-box vendor model fully audited even though key evidence was withheld.
D:This option concerns Audit data completeness and reconciliation, which is a related but different AI governance concern. The audit must corroborate: Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
Question 1183
An audit committee asks for a defensible assessment of this situation: A compliance report calls a black-box vendor model fully audited even though key evidence was withheld. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
- Inspect KPI sources, exception queues, aging, owner actions, periodic audit recalibration and reopened findings.
- Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
- Inspect action plans, revised configurations, observed tests, approval records and exception escalation.
Explanation
Correct Answer
C:The reason it is necessary is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages. This evidence directly tests the asserted control for Board-ready communication of AI audit limitations: Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
Incorrect Answers
A:It misses the key control principle: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
B:This option concerns Continuous audit metrics and follow-up governance, which is a related but different AI governance concern. The audit must corroborate: Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
D:This option concerns Management response and remediation validation, which is a related but different AI governance concern. The decisive principle here is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
Question 1184
During an AI controls assessment, the team learns that a compliance report calls a black-box vendor model fully audited even though key evidence was withheld. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.
- Readers can identify significant control weaknesses and understand what was and was not tested.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
- A second reviewer reproduces key findings from the recorded inputs and processing logic.
- End-to-end reconciliations explain missing and duplicated records before sampling and metrics.
Explanation
Correct Answer
A:The reason it is necessary is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages. This is an observable validation result for Board-ready communication of AI audit limitations, not just management assurance: Readers can identify significant control weaknesses and understand what was and was not tested.
Incorrect Answers
B:For this situation: A compliance report calls a black-box vendor model fully audited even though key evidence was withheld.
C:This option concerns Reproducible audit data transformations, which is a related but different AI governance concern. The decisive principle here is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
D:This option concerns Audit data completeness and reconciliation, which is a related but different AI governance concern. For this situation: A compliance report calls a black-box vendor model fully audited even though key evidence was withheld.
Question 1185
An independent AI auditor reviews this case: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.
- Define objective risk-based audit criteria from approved organizational policies, relevant standards and applicable law.
- Define the AI audit universe and scope using use-case impact, third parties, control reliance and key risk scenarios.
- Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
Explanation
Correct Answer
C:The reason it is necessary is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages. In this case: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
Incorrect Answers
A:This option concerns AI audit criteria and control objectives, which is a related but different AI governance concern. The decisive principle here is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
B:This option concerns Risk-based AI audit universe and scope, which is a related but different AI governance concern. The decisive principle here is: Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
D:This attractive shortcut does not resolve the Board-ready communication of AI audit limitations weakness: Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring. In this case: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
Question 1186
A governance and assurance review uncovers the following: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty. Which principle BEST explains why the observed practice is a material governance or control concern? Select ONE best answer.
- Audit reports should make supported issues intelligible to accountable stakeholders without overstating certainty.
- Audit scope must follow enterprise AI exposure, not only visible software projects or infrastructure boundaries.
- Executive assurance must distinguish observed evidence from untested areas and avoid hiding severe issues in averages.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
Explanation
Correct Answer
C:The corrective action is: Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers. In this case: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
Incorrect Answers
A:This option concerns Clear AI audit finding criteria cause effect, which is a related but different AI governance concern. In this case: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
B:This option concerns Risk-based AI audit universe and scope, which is a related but different AI governance concern. For this situation: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
D:This attractive shortcut does not resolve the Board-ready communication of AI audit limitations weakness: Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring. For this situation: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
Question 1187
A risk-based audit engagement examines this operating condition: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty. What evidence should the auditor examine FIRST to substantiate or challenge the control owner’s claim? Select ONE best answer.
- Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
- Inspect query code, data hashes, metric definitions, source versions, filters and rerun evidence.
- Review workpaper references, criteria applicability, causal support, impact and corrective proposal.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
Explanation
Correct Answer
A:The corrective action is: Communicate risk-ranked findings, scope boundaries, evidence quality and residual uncertainties to decision makers.
Incorrect Answers
B:This option concerns Reproducible audit data transformations, which is a related but different AI governance concern. In this case: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
C:This option concerns Clear AI audit finding criteria cause effect, which is a related but different AI governance concern. For this situation: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
D:For this situation: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
Question 1188
An audit committee asks for a defensible assessment of this situation: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty. After management addresses the issue, which result MOST convincingly demonstrates effective remediation? Select ONE best answer.
- Readers can identify significant control weaknesses and understand what was and was not tested.
- Each material finding is independently traceable to evidence, severity and an owned improvement.
- Workpapers map each issue to an explicit criterion, condition, cause, consequence and evidence.
- Collapse all AI findings into one overall score and omit scope limitations to make the report look reassuring.
Explanation
Correct Answer
A:This is an observable validation result for Board-ready communication of AI audit limitations, not just management assurance: Readers can identify significant control weaknesses and understand what was and was not tested.
Incorrect Answers
B:This option concerns Clear AI audit finding criteria cause effect, which is a related but different AI governance concern. The audit must corroborate: Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
C:This option concerns AI audit criteria and control objectives, which is a related but different AI governance concern. For this situation: An audit dashboard mixes measured facts with speculative future risks without distinguishing certainty.
D:The auditor should instead examine: Inspect report structure, opinion basis, material exclusions, severity rationale and board communications.
Question 1189
During an AI controls assessment, the team learns that a financial institution schedules one annual AI audit but does not track repeated model override anomalies between audits. What is the MOST appropriate risk-based audit recommendation that addresses the root control weakness? Select ONE best answer.
- Define sustainable follow-up indicators, control owners, alert reviews and periodic re-evaluation based on changing exposure.
- Require action owners, committed dates, independent post-change tests and residual-risk decisions to close findings.
- Automate daily chart production and treat the existence of a dashboard as continuous assurance.
- Reconcile source populations, failed records, joins and transformations before interpreting AI audit analytics.
Explanation
Correct Answer
A:The reason it is necessary is: Continuous auditing provides value only when data, thresholds and response governance remain effective over time. In this case: A financial institution schedules one annual AI audit but does not track repeated model override anomalies between audits.
Incorrect Answers
B:This option concerns Management response and remediation validation, which is a related but different AI governance concern. It does not establish control effectiveness for Continuous audit metrics and follow-up governance.
C:This attractive shortcut does not resolve the Continuous audit metrics and follow-up governance weakness: Automate daily chart production and treat the existence of a dashboard as continuous assurance.
D:This option concerns Audit data completeness and reconciliation, which is a related but different AI governance concern. It does not establish control effectiveness for Continuous audit metrics and follow-up governance.
Question 1190
An independent AI auditor reviews this case: A financial institution schedules one annual AI audit but does not track repeated model override anomalies between audits. Which TWO complementary elements should the auditor seek: an effective corrective control and the most probative independent evidence? Select TWO answers.
- Define sustainable follow-up indicators, control owners, alert reviews and periodic re-evaluation based on changing exposure.
- Require action owners, committed dates, independent post-change tests and residual-risk decisions to close findings.
- Inspect row counts, independent totals, missing keys, excluded statuses and transformation logs.
- Inspect KPI sources, exception queues, aging, owner actions, periodic audit recalibration and reopened findings.
- Automate daily chart production and treat the existence of a dashboard as continuous assurance.
Explanation
Correct Answers
A:The reason it is necessary is: Continuous auditing provides value only when data, thresholds and response governance remain effective over time. For this situation: A financial institution schedules one annual AI audit but does not track repeated model override anomalies between audits.
D:The reason it is necessary is: Continuous auditing provides value only when data, thresholds and response governance remain effective over time. This evidence directly tests the asserted control for Continuous audit metrics and follow-up governance: Inspect KPI sources, exception queues, aging, owner actions, periodic audit recalibration and reopened findings.
Incorrect Answers
B:This option concerns Management response and remediation validation, which is a related but different AI governance concern. For this situation: A financial institution schedules one annual AI audit but does not track repeated model override anomalies between audits.
C:This option concerns Audit data completeness and reconciliation, which is a related but different AI governance concern. For this situation: A financial institution schedules one annual AI audit but does not track repeated model override anomalies between audits.
E:This attractive shortcut does not resolve the Continuous audit metrics and follow-up governance weakness: Automate daily chart production and treat the existence of a dashboard as continuous assurance. For this situation: A financial institution schedules one annual AI audit but does not track repeated model override anomalies between audits.