참고: Itexamdump에서 Google Drive로 공유하는 무료, 최신 AAIA 시험 문제집이 있습니다: https://drive.google.com/open?id=1VAn4HdrxWjzJKWtVZvkO4dsTLbH6-TSY
Itexamdump는 고객님의 IT자격증취득의 작은 소원을 이루어지게 도워드리는 IT인증시험덤프를 제공해드리는 전문적인 사이트입니다. Itexamdump 표 ISACA인증AAIA시험덤프가 있으면 인증시험걱정을 버리셔도 됩니다. Itexamdump 표 ISACA인증AAIA덤프는 시험출제 예상문제를 정리해둔 실제시험문제에 가장 가까운 시험준비공부자료로서 공을 들이지않고도 시험패스가 가능합니다.
| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Audit (AAIA) Exam |
| Exam Number: | AAIA |
| Passing Score: | 65% |
| Certificate Validity Period: | Not publicly specified (requires ongoing CPE maintenance after certification) |
| Real Exam Qty: | 55 |
| Exam Format: | Multiple-choice, Closed-book, Computer-based, Remote proctoring or test center |
| Exam Price: | USD 459 (member), USD 599 (non-member) |
| Related Certifications: | CIA CPA CISA |
| Available Languages: | English |
| Exam Duration: | 120 minutes |
| Recommended Training: | ISACA AI Audit Training Resources Official AAIA Training Course Providers |
| Exam Registration: | ISACA AAIA Certification Page |
| Sample Questions: | ISACA AAIA Sample Questions |
| Exam Way: | Computer-based exam delivered via PSI test centers or remote proctoring |
| Pre Condition: | Must hold an active CISA, CIA, CPA, or equivalent ISACA-approved advanced auditing certification |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aaia |
지금 같은 정보시대에, 많은 IT업체 등 사이트에ISACA AAIA인증관련 자료들이 제공되고 있습니다, 하지만 이런 사이트들도 정확하고 최신 시험자료 확보는 아주 어렵습니다. 그들의ISACA AAIA자료들은 아주 기본적인 것들뿐입니다. 전면적이지 못하여 응시자들의 관심을 쌓지 못합니다.
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질문 # 145
Which of the following correctly summarizes the conclusions of the model card excerpt provided?
Model Card - Electrical Grid Predictive Maintenance Model
Model Information:
Description: AI model designed to predict maintenance needs for electrical grid components, reduce unplanned downtime, and improve grid reliability.
Inputs: Real-time sensor data, historical maintenance records, and operational logs.
Outputs: Maintenance needs predictions for 60 & 90 days.Evaluation:
Approach: Cross-validation and validation of accuracy, precision, and recall.
Results: Accuracy 72%; Precision 60%; Recall 95%; F1 76%
정답：B
질문 # 146
Which of the following is the BEST key performance indicator (KPI) to measure a model ' s performance on imbalanced datasets?
정답：A
설명：
For imbalanced datasets, standard " accuracy " or " error rate " is misleading (e.g., if 99% of transactions are legitimate, a model that predicts " legitimate " every time is 99% accurate but useless for fraud detection). The
" F1 score " is the harmonic mean of Precision and Recall, providing a balanced metric that considers both false positives and false negatives. It is the industry-standard KPI for evaluating how well a model handles the minority class. While Precision and Recall are valuable individually, the F1 score provides a single, comprehensive measure of the model ' s effectiveness in skewed environments.
질문 # 147
An IS auditor is evaluating a cybersecurity system that uses agentic AI for autonomous threat detection and incident response. Which of the following is MOST important for the auditor to consider?
정답：D
설명：
"Agentic AI" goes beyond simple detection; it can take actions (like shutting down a server) autonomously. The greatest risk is that the AI might misinterpret a legitimate but unusual business activity as a threat and trigger a "kill switch," causing massive, unplanned downtime.
This is a significant operational and availability risk. Auditors must ensure there are "guardrails" or a "human-in-the-loop" for high-impact actions.
질문 # 148
Which of the following is MOST important for an IS auditor to consider when identifying AI risk in a know your customer (KYC) application within a banking organization?
정답：B
설명：
In high-stakes financial applications like KYC, the primary concern is the potential business and regulatory impact of an AI error-such as false customer rejection or failure to detect fraudulent accounts. The AAIA™ Study Guide emphasizes aligning AI risk assessments with business impact and regulatory exposure.
"In financial institutions, the most material risk of AI errors lies in operational disruption and regulatory fines.
KYC models must be assessed for how errors can lead to compliance failures or reputational harm." Benchmarking (B) supports best practice alignment, and incident response (C) is part of mitigation, but D addresses the most critical consequence of AI risks in banking.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Risk Impact and Business Alignment in AI Systems"
질문 # 149
In deep learning neural networks, which of the following layers is considered MOST important for an IS auditor to evaluate because it performs feature extraction to mimic human decision-making?
정답：B
설명：
In the context of Neural Networks, the " Hidden Layers " are where the actual transformation and feature extraction occur. These layers sit between the input and output, processing data through weighted connections to identify complex patterns. For an IS auditor, evaluating the hidden layers is critical because they represent the " logic " of the model that emulates human-like cognition. While input and output layers are transparent, the hidden layers often lack interpretability, leading to risks of hidden bias or non-deterministic behavior.
Understanding the depth and activation functions of these layers helps auditors assess the model ' s complexity and its susceptibility to errors.
질문 # 150
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AAIA덤프문제집: https://www.itexamdump.com/AAIA.html
그 외, Itexamdump AAIA 시험 문제집 일부가 지금은 무료입니다: https://drive.google.com/open?id=1VAn4HdrxWjzJKWtVZvkO4dsTLbH6-TSY