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Microsoft AI-300 Exam - Topic 1 Question 7 Discussion

A team manages an Azure Machine Learning workspace and deploys a model to an endpoint.A deployed online endpoint shows inconsistent response times during periods of high traffic.You need to identify potential performance degradation.Which three metrics should you monitor? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Choose three
B) Requests per minute and C) Connections active and E) Request latency
A) Feature count
D) Dataset size

Microsoft AI-300 Exam - Topic 1 Question 7 Discussion

Actual exam question for Microsoft's AI-300 exam
Question #: 7
Topic #: 1
[All AI-300 Questions]

A team manages an Azure Machine Learning workspace and deploys a model to an endpoint.

A deployed online endpoint shows inconsistent response times during periods of high traffic.

You need to identify potential performance degradation.

Which three metrics should you monitor? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. Choose three

Show Suggested Answer Hide Answer
Suggested Answer: B, C, E

by Angelica at Jun 21, 2026, 06:29 PM

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Latosha
23 days ago
I agree with both. Connections active is also important. It indicates how many users are hitting the endpoint.
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Honey
29 days ago
Definitely! Request latency is crucial too. It shows how fast responses are.
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Skye
1 month ago
I think we should monitor Requests per minute. High traffic affects performance.
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Melita
1 month ago
Wait, are we really considering Dataset size? That seems off!
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Amira
1 month ago
I agree with the others, but what about Connections active? Seems relevant.
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Lisbeth
2 months ago
Feature count? Not sure how that helps with performance.
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Ryann
2 months ago
I think Request latency is super important too.
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Celestina
2 months ago
Definitely monitor Requests per minute. That's key!
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Bonita
2 months ago
I remember a practice question that focused on latency and requests, but I'm not sure if Dataset size is relevant here. It feels like it might not be as critical during high traffic.
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Marvel
2 months ago
Requests per minute seems like a no-brainer to track, but I wonder if we should also look at Connections active to see how many users are hitting the endpoint at once.
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Kenny
3 months ago
I'm a bit unsure about the Feature count. Does it really impact performance, or is it more about the model's complexity?
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Meghann
3 months ago
I think we should definitely monitor Request latency since it directly relates to how fast the model responds, especially under high traffic.
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