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ISACA AAIA Exam Overview:
| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Audit |
| Exam Number: | AAIA |
| Certificate Validity Period: | 3 years |
| Related Certifications: | ACCA CISA CIA CPA FCCA |
| Real Exam Qty: | 90 |
| Available Languages: | English, Chinese, Spanish |
| Exam Duration: | 150 minutes |
| Passing Score: | 450 (scaled, range 200–800) |
| Exam Price: | US$459 (member) / US$599 (non-member) |
| Exam Format: | Scenario-based questions, Computer-based testing, Multiple-choice questions |
| Recommended Training: | AAIA Review Manual AAIA Official Review Course |
| Exam Registration: | ISACA Official Registration |
| Sample Questions: | ISACA AAIA Sample Questions |
| Exam Way: | Computer-based; PSI test centers or remote proctored (remote not available in India, Mainland China, Hong Kong) |
| Pre Condition: | Hold active CISA, CIA, CPA, ACCA, FCCA or equivalent qualified certification with IT audit/advisory focus |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aaia/aaia-exam-content-outline |
ISACA AAIA Exam Syllabus Topics:
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Reference: https://www.isaca.org/credentialing/aaia
ISACA Advanced in AI Audit Sample Questions:
An AI tool is being implemented for a regional healthcare organization. Which of the following training methods BEST ensures the AI output does not reveal whether someone's personal data was used?
- A. Differential privacy applied during model training
- B. Transfer learning using public health data sets
- C. Data augmentation during training to improve privacy
- D. Supervised learning with labeled patient records
Correct Answer: A 🗳️
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Which of the following is the BEST approach to mitigate the risk of "AI model degradation"?
- A. Training models on both model-generated and human-generated data
- B. Continuous monitoring to identify adversarial inputs
- C. Increasing the use of synthetic data for model training
- D. Periodic human reviews of model outputs and recommendations
Correct Answer: D 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
An IS auditor reviewing documentation for an AI model notes that the modeler utilized a K-means clustering algorithm, which clusters data into categories for correlations and analysis. Which of the following is the MOST important risk for the auditor to consider?
- A. K-means clustering requires the modeler to supervise the learning analysis, which can introduce bias.
- B. K-means clustering algorithms are significantly sensitive to outliers and dependent on the similarity of units of measure.
- C. K-means clustering determines the number of clusters for the modeler without supervision.
- D. K-means clustering is not a common data clustering method due to its complexity and difficulty categorizing data correctly.
Correct Answer: B 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
Which of the following BEST helps an organization manage bias in AI model decisions?
- A. Standardization of fairness criteria
- B. Data anonymization and classification
- C. Human oversight and feedback mechanisms
- D. Periodic model retraining
Correct Answer: C 🗳️
Explanation: Only visible for TopExamCollection members. You can sign-up / login (it's free).
The PRIMARY purpose of utilizing neural networks in AI is to:
- A. Improve the user interface.
- B. Mimic human decision making.
- C. Increase computational power.
- D. Minimize maintenance costs.
Correct Answer: B 🗳️
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