nerdexam
GoogleGoogle

PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #259

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #259: Real Exam Question with Answer & Explanation

Sign in or unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to reveal the answer and full explanation for question #259. The question stem and answer options stay visible for context.

Submitted by andreas_gr· Apr 18, 2026ML pipeline operationalization

Question

You trained a model packaged it with a custom Docker container for serving, and deployed it to Vertex AI Model Registry. When you submit a batch prediction job, it fails with this error: "Error model server never became ready. Please validate that your model file or container configuration are valid. " There are no additional errors in the logs. What should you do?

Options

  • AAdd a logging configuration to your application to emit logs to Cloud Logging
  • BChange the HTTP port in your model's configuration to the default value of 8080
  • CChange the healthRoute value in your model's configuration to /healthcheck
  • DPull the Docker image locally, and use the docker run command to launch it locally. Use the

Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER to see the answer

You've previewed enough free PROFESSIONAL-MACHINE-LEARNING-ENGINEER questions. Unlock PROFESSIONAL-MACHINE-LEARNING-ENGINEER for full answers, explanations, the timed quiz mode, progress tracking, and the master PDF. Question stem and options stay visible so you can still see what's on the exam.

Topics

#Vertex AI#Custom containers#Docker debugging#Model deployment
Full PROFESSIONAL-MACHINE-LEARNING-ENGINEER PracticeBrowse All PROFESSIONAL-MACHINE-LEARNING-ENGINEER Questions