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Google Professional Machine Learning Engineer

280 Questions120 Minutes70% Passing Score▣ Updated: Sep 2026

Question 189 of 280

Single answer
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?
AReplace the monitoring job with a DataFlow pipeline that uses TensorFlow Data Validation (TFDV)
BReplace the monitoring job with a custom SQL script to calculate statistics on the features and predictions in BigQuery
CDecrease the sample_rate parameter in the RandomSampleConfig of the monitoring job
DIncrease the monitor_interval parameter in the ScheduleConfig of the monitoring job
Correct Answer: C

Decrease the sample_rate parameter in the RandomSampleConfig of the monitoring job

Explanation

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