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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 All Questions

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Exam AWS Certified Machine Learning Engineer - Associate MLA-C01 topic 1 question 45 discussion

Exam question from Amazon's AWS Certified Machine Learning Engineer - Associate MLA-C01
Question #: 45
Topic #: 1
[All AWS Certified Machine Learning Engineer - Associate MLA-C01 Questions]

A company has trained and deployed an ML model by using Amazon SageMaker. The company needs to implement a solution to record and monitor all the API call events for the SageMaker endpoint. The solution also must provide a notification when the number of API call events breaches a threshold.
Which solution will meet these requirements?

  • A. Use SageMaker Debugger to track the inferences and to report metrics. Create a custom rule to provide a notification when the threshold is breached.
  • B. Use SageMaker Debugger to track the inferences and to report metrics. Use the tensor_variance built-in rule to provide a notification when the threshold is breached.
  • C. Log all the endpoint invocation API events by using AWS CloudTrail. Use an Amazon CloudWatch dashboard for monitoring. Set up a CloudWatch alarm to provide notification when the threshold is breached.
  • D. Add the Invocations metric to an Amazon CloudWatch dashboard for monitoring. Set up a CloudWatch alarm to provide notification when the threshold is breached.
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Suggested Answer: C 🗳️
by a4002bd at Nov. 27, 2024, 3:32 a.m.
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a4002bd
Highly Voted 4 months, 1 week ago
Selected Answer: C
I pick C. The company needs to implement a solution to record and monitor all the API call events for the SageMaker endpoint. Its needs to RECORD all events.
upvoted 6 times
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eesa
Most Recent 1 week, 5 days ago
Selected Answer: C
✅ Breakdown of the correct answer: CloudTrail: Logs all SageMaker API calls, including InvokeEndpoint. Provides auditing and visibility into who called the endpoint, when, and with what parameters. Essential for tracking all invocation events (as required). CloudWatch Dashboard + Alarm: Use a CloudWatch dashboard to monitor invocation patterns and metrics. Set up an alarm based on metrics like the number of invocations (from CloudTrail logs or the Invocations metric) to trigger notifications when thresholds are breached.
upvoted 1 times
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abrarjahin
2 months ago
Selected Answer: D
Cloud trail is not an option for real time solution
upvoted 1 times
Certified101
1 month, 3 weeks ago
Neither is cloudwatch, its not real time.
upvoted 1 times
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lyndonZhao
3 months, 1 week ago
Selected Answer: D
CloudWatch Invocations metric: This metric tracks the number of API calls made to a SageMaker endpoint. By adding this metric to a CloudWatch dashboard and setting up an alarm, you can monitor the number of API calls and receive notifications when the threshold is breached.
upvoted 1 times
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Saransundar
3 months, 4 weeks ago
Selected Answer: C
SageMaker endpoint API calls → Record with CloudTrail → Monitor metrics in CloudWatch → CloudWatch alarm for notifications
upvoted 1 times
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