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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #201

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #201: Real Exam Question with Answer & Explanation

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Submitted by layla.eg· Apr 18, 2026Monitoring, optimizing, and maintaining ML solutions

Question

You recently deployed a model to a Vertex AI endpoint. Your data drifts frequently, so you have enabled request-response logging and created a Vertex AI Model Monitoring job. You have observed that your model is receiving higher traffic than expected. You need to reduce the model monitoring cost while continuing to quickly detect drift. What should you do?

Options

  • AReplace the monitoring job with a DataFlow pipeline that uses TensorFlow Data Validation
  • BReplace the monitoring job with a custom SQL script to calculate statistics on the features and
  • CDecrease the sample_rate parameter in the RandomSampleConfig of the monitoring job
  • DIncrease the monitor_interval parameter in the ScheduleConfig of the monitoring job

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Topics

#Model Monitoring#Cost Optimization#Vertex AI#Data Drift
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