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AAIA Advanced in AI Audit Certification Practice Exams
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100 students

AAIA Advanced in AI Audit Certification Practice Exams

Scenario-based AI audit questions on governance, risk, AI operations and audit techniques with detailed explanations
Last updated 11/2026
English

What you'll learn

  • Evaluate AI governance, strategy, roles, and accountability structures from an auditor’s perspective
  • Assess AI risk management, data governance, and privacy controls for enterprise AI systems
  • Apply AI regulations and frameworks, including the EU AI Act, NIST AI RMF, and ISO/IEC 42001, to audit engagements
  • Audit controls across the AI solution lifecycle, from data management and development to change management
  • Evaluate model monitoring, testing, validation, and incident response for AI systems in production
  • Identify AI-specific threats and vulnerabilities and assess the security controls that address them
  • Plan and scope AI audits, and select appropriate testing, sampling, and evidence collection techniques
  • Use data analytics and AI-enabled tools in audits, and communicate AI audit findings clearly and objectively

Included in This Course

450 questions
  • Exam 175 questions
  • Exam 275 questions
  • Exam 375 questions
  • Exam 475 questions
  • Exam 5 ( Bonus Exam )75 questions
  • Exam 6 ( Bonus Exam )75 questions

Description

Prepare for the ISACA Advanced in AI Audit (AAIA) exam with realistic, auditor-focused practice

These AAIA practice tests are for experienced auditors preparing for ISACA’s Advanced in AI Audit credential. The exam is built on top of an established audit qualification. It doesn’t test whether you know what an audit is. It tests whether you can apply that expertise to artificial intelligence: governing AI risk, evaluating controls across the AI lifecycle, and gathering reliable evidence about systems that learn and change. This course helps you practice that judgment.

Why this course

Auditing AI raises new questions. How do you sample a model’s decisions? What counts as sufficient evidence of fairness? Who owns an AI risk when a third-party model is involved? Each question here puts you in a realistic engagement and asks for the best audit response. All questions are original, mapped to the current exam content outline, and updated as AI regulation, frameworks, and the exam evolve.

What’s inside, by exam domain

  • AI governance and risk: AI concepts and model types an auditor must understand, AI strategy and program management, roles and accountability, AI risk identification and management, data governance and privacy, and ethical, legal, and regulatory requirements such as the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 42001

  • AI operations: data management for AI, the AI solution development lifecycle, change and configuration management, model monitoring and supervision, testing and validation, AI-specific threats and vulnerabilities, security controls, and incident response

  • AI auditing tools and techniques: planning and scoping AI audits, testing and sampling methods, collecting evidence from AI systems, data quality and analytics, using AI-enabled tools within the audit, and communicating findings and reports

How the explanations help you learn

Every question includes a detailed explanation for every answer option. You learn why the best response fits the auditor’s role and the scenario, and why each alternative falls short. An alternative might overstep independence, rely on weak evidence, miss a key control, or treat an AI-specific risk as an ordinary IT risk. This builds the reasoning AAIA rewards, and you can carry it straight into real AI assurance engagements.

Who it’s for

  • IT auditors, internal auditors, external auditors, and risk and compliance professionals who already hold an eligible audit credential and want to validate their AI audit expertise

Start practicing today

You get lifetime access, regular updates, and the protection of Udemy’s 30-day refund policy. Enroll now, find your weak domains, and go into the AAIA exam prepared.

Disclaimer

This course is an independent, unofficial study resource. It is not affiliated with, endorsed by, or sponsored by ISACA. ISACA, AAIA, CISA, and related names are trademarks of ISACA. Other framework and standard names belong to their respective owners. All of these names are used only to identify the exam and the topics it covers. All questions are original practice material and are not drawn from any ISACA exam.

Who this course is for:

  • Candidates preparing for the ISACA Advanced in AI Audit (AAIA) exam
  • CISA holders who want to extend their IT audit expertise into artificial intelligence
  • Internal auditors and external auditors responsible for assurance over AI systems
  • Risk, compliance, and governance professionals who evaluate AI programs and controls
  • Audit managers building AI audit capabilities within their teams
  • Candidates retaking AAIA who want targeted practice on their weaker domains