Designing and Implementing an Azure AI Solution (legacy) — Question 4

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You create several AI models in Azure Machine Learning Studio.
You deploy the models to a production environment.
You need to monitor the compute performance of the models.
Solution: You enable Model data collection.
Does this meet the goal?

Answer options

Correct answer: A

Explanation

Enabling Model data collection allows you to gather metrics and performance data on the deployed models, which is essential for monitoring compute performance. Option B is incorrect because not enabling Model data collection would mean missing out on tracking important performance metrics, making it impossible to assess the efficiency and effectiveness of the models in production.