AAIA Certification - 6 ISACA Style Exams

About this course

This practice test bundle contains multiple full-length practice exams for the ISACA Advanced in AI Audit (AAIA) exam. Each exam is built from a pool of original questions, weighted by domain to match the official exam blueprint.D1 — AI Governance and Risk (33% of the exam) — covers evaluate ai solutions to advise on impact, opportunities, and risk to organization., evaluate the impact of ai solutions on system interactions, environment, and humans., evaluate system and business requirements for ai solutions to ensure alignment with enterprise architecture., ai model types, architectures, and capability profiles -- supervised, unsupervised, reinforcement, generative, model documentation standards -- model cards, datasheets for datasets, validation reports, evaluate the role and impact of ai decision-making systems on the organization and stakeholders., evaluate the organization's ai policies and procedures, including compliance with legal and regulatory requirements., evaluate whether the organization has defined ownership of ai-related risk, controls, procedures, decisions, and standards., ai governance structures -- roles, accountability, raci, committee oversight, and board reporting, ai governance frameworks -- nist ai rmf, iso 42001, oecd ai principles, evaluate the monitoring and reporting of metrics (e.g., kpis, kris) specific to ai., evaluate the design and effectiveness of controls specific to ai., evaluate vendors and supply chain management programs specific to ai solutions., ai risk taxonomy -- performance risk, bias risk, security risk, compliance risk, third-party risk, inherent risk, residual risk, risk appetite, and risk tolerance in ai contexts, risk register requirements for ai systems -- ownership, treatment, and status, evaluate the organization's data governance program specific to ai., evaluate the organization's privacy program specific to ai., training data governance -- collection, labeling, quality assurance, and lineage, gdpr obligations for ai -- lawful basis, article 22 auto