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You recently deployed a model to a Vertex Al endpoint Your data drifts frequently so...

You recently deployed a model to a Vertex Al endpoint Your data drifts frequently so you have enabled request-response logging and created a Vertex Al 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?

A.

Replace the monitoring job with a DataFlow pipeline that uses TensorFlow Data Validation (TFDV).

B.

Replace the monitoring job with a custom SQL scnpt to calculate statistics on the features and predictions in BigQuery.

C.

Decrease the sample_rate parameter in the Randomsampleconfig of the monitoring job.

D.

Increase the monitor_interval parameter in the scheduieconfig of the monitoring job.

Google Professional-Machine-Learning-Engineer Summary

  • Vendor: Google
  • Product: Professional-Machine-Learning-Engineer
  • Update on: Jul 30, 2025
  • Questions: 285
Price: $52.5  $149.99
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