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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #329

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #329: Real Exam Question with Answer & Explanation

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Submitted by paula_co· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions

Question

You developed an ML model using Vertex AI and deployed it to a Vertex AI endpoint. You anticipate that the model will need to be retrained as new data becomes available. You have configured a Vertex AI Model Monitoring Job. You need to monitor the model for feature attribution drift and establish continuous evaluation metrics. What should you do?

Options

  • ASet up alerts using Cloud Logging, and use the Vertex AI console to review feature attributions.
  • BSet up alerts using Cloud Logging, and use Looker Studio to create a dashboard that visualizes
  • CEnable request-response logging for the Vertex AI endpoint, and set up alerts using Pub/Sub.
  • DEnable request-response logging for the Vertex AI endpoint, and set up alerts using Cloud

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Topics

#Vertex AI Model Monitoring#Feature Attribution Drift#Request-Response Logging#Cloud Logging Alerts
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