Google Exam Professional-Machine-Learning-Engineer Topic 6 Question 69 Discussion

Actual exam question for Google's Google Professional Machine Learning Engineer exam

Question #: 69
Topic #: 6

[All Google Professional Machine Learning Engineer Questions]

You are training and deploying updated versions of a regression model with tabular data by using Vertex Al Pipelines. Vertex Al Training Vertex Al Experiments and Vertex Al Endpoints. The model is deployed in a Vertex Al endpoint and your users call the model by using the Vertex Al endpoint. You want to receive an email when the feature data distribution changes significantly, so you can retrigger the training pipeline and deploy an updated version of your model What should you do?

AUse Vertex Al Model Monitoring Enable prediction drift monitoring on the endpoint. and specify a notification email.

BIn Cloud Logging, create a logs-based alert using the logs in the Vertex Al endpoint. Configure Cloud Logging to send an email when the alert is triggered.

CIn Cloud Monitoring create a logs-based metric and a threshold alert for the metric. Configure Cloud Monitoring to send an email when the alert is triggered.

DExport the container logs of the endpoint to BigQuery Create a Cloud Function to run a SQL query over the exported logs and send an email. Use Cloud Scheduler to trigger the Cloud Function.

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Suggested Answer: A

by Daniela at Dec 27, 2023, 03:17 AM

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6 months ago

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6 months ago

This question is testing our understanding of the different monitoring and alerting options available in Vertex AI. I think the key is to identify the right service to monitor the feature data distribution changes.

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