Microsoft Azure AI Fundamentals - AI-900

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Answer: Post-validation testing of the model.

The correct answer is D: 'Post-validation testing of the model.' In the process of Machine Learning, evaluation metrics should be reviewed after testing the model on validation data to assess its performance and make any necessary adjustments.

Author: LeetQuiz Editorial Team

Quick Answer

Answer-first summary for fast verification

Answer: Post-validation testing of the model.

The correct answer is D: 'Post-validation testing of the model.' In the process of Machine Learning, evaluation metrics should be reviewed after testing the model on validation data to assess its performance and make any necessary adjustments.

Author: LeetQuiz Editorial Team

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In the context of Machine Learning, at what stage should evaluation metrics be reviewed?

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Last updated: January 31, 2026 at 14:03

0

A

Prior to model training.

17.6%

B

Following data cleaning.

7.4%

C

Before selecting the model type.

14.7%

D

Post-validation testing of the model.

60.3%

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