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.

Show Suggested Answer

Suggested Answer: C 🗳️

by a4002bd at Nov. 27, 2024, 3:32 a.m.

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Comments

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a4002bd

Highly Voted 7 months 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 3 months ago

Selected Answer: C

C. CloudTrail + CloudWatch dashboard + CloudWatch alarm ✅ Correcto. AWS CloudTrail captura todos los eventos de API, incluidas las invocaciones a endpoints de SageMaker (InvokeEndpoint). CloudWatch puede procesar estos logs para generar métricas personalizadas. Puedes usar un alarm de CloudWatch para notificar cuando el número de eventos supera un umbral. Esto cubre tanto registro como notificación

upvoted 1 times

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eesa

3 months, 1 week 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

5 months ago

Selected Answer: D

Cloud trail is not an option for real time solution

upvoted 1 times

Certified101

4 months, 3 weeks ago

Neither is cloudwatch, its not real time.

upvoted 1 times

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lyndonZhao

6 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

6 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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