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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #229

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #229: Real Exam Question with Answer & Explanation

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

Question

You have built a custom model that performs several memory-intensive preprocessing tasks before it makes a prediction. You deployed the model to a Vertex AI endpoint, and validated that results were received in a reasonable amount of time. After routing user traffic to the endpoint, you discover that the endpoint does not autoscale as expected when receiving multiple requests. What should you do?

Options

  • AUse a machine type with more memory
  • BDecrease the number of workers per machine
  • CIncrease the CPU utilization target in the autoscaling configurations.
  • DDecrease the CPU utilization target in the autoscaling configurations

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Topics

#Vertex AI Endpoints#Autoscaling#Resource optimization#Deployment configuration
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