AAIA Practice Tests: Advanced in AI Audit – 450 Questions
Five full-length 90-question exams on AI governance and risk, AI operations, and AI auditing tools and techniques
Are you ready to sit AAIA? That is the only question these tests are built to answer.
This practice set contains five full-length practice exams for ISACA Advanced in AI Audit: 450 questions, all of them written to the AAIA exam content outline, and all of them in the real exam format of 90 multiple-choice questions with four options and a single correct answer. The domain mix follows the official weighting in every test – 30 questions on AI Governance and Risk, 41 on AI Operations, 19 on AI Auditing Tools and Techniques – so your score per domain means something.
AAIA is a new credential with a scope of its own. It is not a renamed version of an older exam, and it is not a general AI governance course with an audit chapter bolted on. It asks you to evaluate models, data, lifecycles, changes, monitoring, threats and incidents, and then to plan, sample, evidence and report on all of that as an auditor. Practice material written for generic AI ethics courses, or for classic IT audit exams, prepares you for a different test.
The five tests rise in difficulty rather than in obscurity. Test 1 covers the concepts one at a time. Test 2 puts them into short workplace situations where neighbouring terms compete. Test 3 gives you two defensible options and one constraint that decides between them. Test 4 goes into the artifacts and procedures: register fields, change records, thresholds, sample sizes, evidence provenance. Test 5 is the full simulation – long scenarios, several constraints at once, 90 questions in 150 minutes.
Every question explains itself. Each of the four options carries its own feedback saying why it is correct or what that concept actually covers, and every question closes with an overall explanation and a link to the official source. You get a breakdown per domain after each attempt, so revision goes where the gaps are. Pass marks are set at 80% for tests 1 to 4 and 85% for test 5, above the real threshold, so a pass here means a margin on exam day.
What this is not: it is not a course, it does not teach the AAIA syllabus from scratch, and it contains no real AAIA exam questions. It is a rigorous, explained question bank to use alongside the official ISACA material.
Groundwork: Core Concepts of AI Audit
90 questions · 170 minutes · pass mark 80%
Start here. This test covers the vocabulary and the core concepts of all three AAIA domains: model and learning types, governance roles and policy layers, inherent and residual risk, privacy and data governance terms, data quality dimensions, the AI lifecycle, change and incident management, AI-specific threats, and the audit basics of scope, sampling, evidence and reporting. Questions are short and each one tests a single idea, so you can find out quickly which parts of the blueprint you already own and which ones you have only read about. The domain mix matches the exam: 30 questions on AI Governance and Risk, 41 on AI Operations, 19 on AI Auditing Tools and Techniques. The pass mark is set at 80%, higher than the real exam, because these are the questions you should get right without hesitating; if you are losing points here, the harder tests will not go well. Every option comes with its own feedback explaining why it is right or what that concept actually covers, and each question closes with an overall explanation and a source link.
In Practice: Recognising AI Issues on the Job
90 questions · 165 minutes · pass mark 80%
The concepts move into short real-world situations. Each question gives you two or three sentences of context - a model that fails for one customer group, a supplier that updated a model without telling anyone, special category data sitting in free text, an extract that does not reconcile to the source - and asks you to name what is happening or what to do about it. The distractors are the neighbouring concepts that are easy to mix up: data drift against concept drift, pseudonymisation against anonymisation, a test of design against a test of operating effectiveness, sufficiency against appropriateness. This is the level at which most candidates discover that recognising a term is not the same as recognising the thing itself. Same domain mix as the exam, same four-option format, 165 minutes, 80% to pass.
Trade-offs: The Best Answer Under Constraints
90 questions · 160 minutes · pass mark 80%
Two options are defensible in almost every question here, and a single constraint in the scenario decides which one is best: a frozen budget, a regulator that demands an explanation, a supplier that refuses access, data that cannot leave the country, a population that changes daily, or an audit committee date that will not move. This is how the real exam separates candidates who know the material from candidates who can apply it, and it is the level most practice sets skip entirely. Expect longer stems, expect to reread the constraint before you answer, and expect that the textbook answer is sometimes the wrong one here. 90 questions, 160 minutes, 80% to pass, with an explanation for every option so you can see exactly which constraint tipped the balance.
Under the Hood: Artifacts, Procedures, Evidence
90 questions · 155 minutes · pass mark 80%
Detail level. Not harder facts, but more concrete ones: what belongs in a model card, which fields an AI use case register needs, what a change request for a retraining run must contain, how a rollback bundle is defined, how a monitoring threshold and measurement window are justified, what makes an analysis script reproducible, how an audit sample size is driven, what provenance an exported model artifact needs, and what a management action plan has to name. If you have audited AI systems in practice, this test will feel familiar; if your preparation has been mostly reading, this is where the gaps show. 90 questions, 155 minutes, 80% to pass.
Exam Day: Full-Length Simulation at Exam Pace
90 questions · 150 minutes · pass mark 85%
The full simulation: 90 questions in 150 minutes, exactly the length and the clock of the real exam. Scenarios run four to six sentences, carry several constraints at once and include details that do not matter, so you have to decide what is relevant before you can decide what is correct. Governance, operations and audit technique are mixed throughout, and the questions ask for judgement - what to do first, what the greatest concern is, what the best evidence would be. The pass mark is 85%, deliberately above the real exam, because you want a margin on exam day rather than a result that depends on which version of the exam you draw. Sit this one in a single uninterrupted session and treat the score as your readiness signal.
What you will practice
- Test yourself against the full AAIA blueprint with five timed exams that match the real format: 90 questions in 150 minutes
- Tell apart the concepts that AAIA items are built to confuse, from drift types to sampling methods and evidence quality
- Learn from every answer: each option carries its own feedback, plus an overall explanation with a source link
- Build up from single-concept recall to full scenario simulation, so exam day is the fifth time you sit this format
- See your score per domain, so revision goes where the gap is instead of over the whole syllabus
- Practise the audit judgement the exam rewards: what to do first, what evidence is best, what risk weighs heaviest
Exam domains covered
Who is this for
IT auditors, internal auditors and assurance professionals who hold a CISA or an equivalent designation and are preparing for the ISACA Advanced in AI Audit exam. Risk and compliance officers who audit or review AI systems, second-line reviewers who challenge model governance, and IT audit managers who need to judge whether their team's AI audit work holds up. Consultants and external auditors moving into AI assurance work, and experienced auditors who understand controls well but have not yet worked with models, training data, drift and prompts. AAIA is a new credential rather than a renamed version of an older exam, so generic AI governance courses and older IT audit material do not cover its scope: the blueprint spans AI governance and risk, AI operations, and audit technique applied to AI, and it expects you to reason as an auditor rather than as a data scientist. This is a question bank with detailed explanations. It will test and sharpen what you know and show you where you are weak; it will not teach the syllabus from scratch, and it contains no real exam questions.
Requirements
- No prior AI engineering experience is needed. Audit experience helps, and you should be comfortable with control testing, sampling and evidence.
- ISACA requires an active CISA or an equivalent audit designation before you can sit the AAIA exam. Check your eligibility with ISACA before you book.
- These are practice exams, not a course. Use them alongside the ISACA study material and the exam content outline, not instead of them.
Free exam guide
Not sure what to expect? Read how the exam is built, what it covers and how to prepare.