Question 186 of 280
Single answerYou recently deployed a scikit-learn model to a Vertex AI endpoint. You are now testing the model on live production traffic. While monitoring the endpoint, you discover twice as many requests per hour than expected throughout the day. You want the endpoint to efficiently scale when the demand increases in the future to prevent users from experiencing high latency. What should you do?
ADeploy two models to the same endpoint, and distribute requests among them evenly
✓BConfigure an appropriate minReplicaCount value based on expected baseline traffic
CSet the target utilization percentage in the autoscailngMetricSpecs configuration to a higher value
DChange the model’s machine type to one that utilizes GPUs
✓
Correct Answer: B
Configure an appropriate minReplicaCount value based on expected baseline traffic
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Explanation
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