Instant Download ISACA : AAIR Questions & Answers as PDF & Test Engine
Updated: Oct 24, 2026
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- Total Questions: 182
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- Total Questions: 182
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- Total Questions: 182
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Job competition is cruel and realistic — certified candidates stand out. Arm yourself for 2026 with the ISACA Advanced in AI Risk material from ITCertMagic: 182 practice questions that open possibilities.
ISACA AAIR Exam Overview:
| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Risk (AAIR) |
| Exam Number: | AAIR |
| Available Languages: | English |
| Certificate Validity Period: | No fixed expiry (continuing professional education required for maintenance) |
| Related Certifications: | CRISC CGEIT CISM |
| Passing Score: | Typically 65% (ISACA standard scaled scoring may apply) |
| Exam Price: | USD 575 (non-member, estimated ISACA standard pricing range) |
| Exam Format: | Multiple choice |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 100 (estimated) |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online and testing center delivery options (computer-based exam) |
| Pre Condition: | Recommended: familiarity with IT governance, risk management, and AI/ML fundamentals; related ISACA certifications beneficial |
| Official Syllabus URL: | https://www.isaca.org |
ISACA AAIR Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| Topic 2: AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| Topic 3: AI Risk Management | - Risk identification and assessment for AI systems
|
| Topic 4: Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Topic 5: AI Lifecycle Controls | - Controls across AI development lifecycle
|
AAIR Exam FAQ for Serious Candidates
Yes — the free ISACA Advanced in AI Risk demo lets you evaluate question quality and analyses before paying. Purchases include 365 days of free updates, renewable afterward at 50% off.
The ISACA Advanced in AI Risk blueprint spans 5 domains — including Ethics, Privacy, and Responsible AI, AI Lifecycle Controls, Regulatory and Compliance Requirements. Read the weightings as priorities: the points concentrate where the percentages do. The full outline above covers every subtopic.
The ISACA Advanced in AI Risk is ISACA's exam for the AI Risk certification, a Professional-level credential. It's a hot topic because certified candidates stand out in job competition — the credential opens possibilities that uncertified resumes can't. Related credentials include CRISC, CISM, CGEIT.
USD 575 (non-member, estimated ISACA standard pricing range) per attempt; Typically 65% (ISACA standard scaled scoring may apply) to pass. Every retake bills the full fee again, so prepare properly the first time — the 182 practice questions from ITCertMagic are the affordable rehearsal.
Delivery is instant: payment triggers an automatic email within a minute, and the test engine opens easily without extra software installation. Nothing after 2 hours? Check spam and contact our round-the-clock support. If you fail the corresponding AAIR exam within 60 days of purchase, we give a full refund — send a scanned enrollment slip plus the official Score Report PDF within 2 days of the exam, processed within 7 days. Exclusions: exams within 3 days of purchase, candidate names that don't match the payer, and free or expired products. Or exchange for two equal-value products free.
120 minutes for 100 (estimated) questions. That's a pace you can train: run timed simulations in the ITCertMagic engine until answering at speed feels normal, and use the analyses to make every wrong answer count.
Recommended: familiarity with IT governance, risk management, and AI/ML fundamentals; related ISACA certifications beneficial Vendors revise eligibility rules over time, so confirm the current requirements on the official page (official AAIR exam page) before you register.
ISACA Advanced in AI Risk Sample Questions:
Which of the following is the MOST important consideration for a risk practitioner assessing the reproducibility of model outputs?
- A. Automated end-to-end capture of metadata and data lineage
- B. Reliance on proprietary algorithms for AI model outputs and decisions
- C. Identification of process dependencies with AI model development
- D. Key performance indicators (KPIs) for model accuracy
Correct Answer: A 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
Which of the following BEST mitigates privacy exposure when using datasets for AI model training that include personal information?
- A. Implementing robust de-identification controls
- B. Retaining metadata related to the structure of datasets
- C. Enforcing strict user authentication requirements
- D. Requiring human reviews before deployment
Correct Answer: A 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
Which of the following is the PRIMARY benefit of integrating AI risk processes into an enterprise risk framework?
- A. Improved compliance with regulatory requirements
- B. Organization-level oversight and strategic alignment
- C. More accurate benchmarking of AI key performance indicators (KPIs)
- D. Rapid identification of cyber threats and risks
Correct Answer: B 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
An organization deploys an AI credit scoring model trained on historical financial data that underrepresents certain demographic groups. Which of the following is the risk practitioner ' s BEST recommendation to mitigate this risk?
- A. Use unsupervised learning to identify hidden or complex discriminatory patterns in the dataset.
- B. Notify stakeholders that the model may not always reflect standard loan approval thresholds.
- C. Implement reporting for model drift and anomalous model decisions.
- D. Define specific inclusivity goals and expand data to a broader range of sources.
Correct Answer: D 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
Which of the following is the GREATEST organizational risk when privacy, cybersecurity, and legal teams are not integrated into the AI oversight committee?
- A. Redundant AI acceptable use policies and guidelines
- B. Operational inefficiency due to reluctance to accept non-critical risk
- C. Unclear accountability for AI control implementation
- D. Decentralized approval of changes to AI strategic initiatives
Correct Answer: C 🗳️
Explanation: Only visible for ITCertMagic members. You can sign-up / login (it's free).
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