AI-900 Question #323: Real Exam Question with Answer & Explanation

The correct answer is A: fairness. Fairness and inclusiveness in Azure Machine Learning: The fairness assessment component of the Responsible AI dashboard enables data scientists and developers to assess model fairness across sensitive groups defined in terms of gender, ethnicity, age, and other characteristics. h

Submitted by yaw92· Mar 30, 2026[DOMAIN LIST NOT PROVIDED IN PROMPT]

Question

Verifying that machine learning models do NOT show racial or gender bias is an example of which Microsoft responsible AI principle?

Options

Afairness
Bprivacy and security
Csafety
Dreliability

Explanation

Fairness and inclusiveness in Azure Machine Learning: The fairness assessment component of the Responsible AI dashboard enables data scientists and developers to assess model fairness across sensitive groups defined in terms of gender, ethnicity, age, and other characteristics. https://learn.microsoft.com/en-us/azure/machine-learning/concept-responsible-ai?view=azureml-

Topics

#Responsible AI#AI fairness#Algorithmic bias

Community Discussion

No community discussion yet for this question.

Full AI-900 Practice Browse All AI-900 Questions