AAIA AI Auditing Tools And Techniques Practice Question
When auditing an Azure Machine Learning pipeline, which functionality within 'Responsible AI dashboard' is required to perform counterfactual analysis on model predictions?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Counterfactuals component
The 'Counterfactuals' component in the Azure Responsible AI dashboard allows auditors to see how input changes impact predictions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Causal Inference component
Why it's wrong here
Causal Inference is for determining cause-effect relationships.
- ✗
Model Overview component
Why it's wrong here
Model Overview provides general metrics like accuracy.
- ✓
Counterfactuals component
Why this is correct
The Counterfactuals component provides 'what-if' analysis.
- ✗
Error Analysis component
Why it's wrong here
Error Analysis helps identify cohorts with high error rates, not counterfactuals.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official ISACA exam blueprint
This AAIA practice question is part of Courseiva's free ISACA certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AAIA exam.