Prime Learning

Advanced in AI Audit (AAIA) domain

AI Operations

Study the AI Operations blueprint area in the context of Current ISACA AAIA exam content outline.
Practice test overview All exam domains
CertificationAdvanced in AI Audit (AAIA)
ProviderISACA
Blueprint weight46%
Exam standardCurrent ISACA AAIA exam content outline

What this domain covers

This domain groups 1 objectives: Evaluate AI data, development, deployment, change, supervision, testing, threat, vulnerability, and incident-management processes..

Why this domain matters

The AI Operations domain represents a distinct part of the Advanced in AI Audit (AAIA) role blueprint. It should be understood in relation to the other domains because exam scenarios can require knowledge from more than one area.

How to prepare

Begin with the objective statements below, review each listed subtopic in the provider material, and practice applying the concepts to realistic decisions. Track uncertain answers as well as incorrect ones before moving into timed simulation.

  • Data management specific to AI
  • AI solution development methodologies and lifecycle
  • Change management specific to AI
  • Supervision of AI solutions, outputs, impacts, and decisions
  • Testing techniques for AI solutions
  • Threats and vulnerabilities specific to AI
  • Incident response management specific to AI
Exam objective

Evaluate AI data, development, deployment, change, supervision, testing, threat, vulnerability, and incident-management processes.

Prepare to work with Data management specific to AI; AI solution development methodologies and lifecycle; Change management specific to AI; Supervision of AI solutions, outputs, impacts, and decisions; Testing techniques for AI solutions; Threats and vulnerabilities specific to AI; Incident response management specific to AI.