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Question 76/137
You have developed an AutoML tabular classification model that identifies high-value customers who interact with your organization ' s website.
You plan to deploy the model to a new Vertex Al endpoint that will integrate with your website application.
You expect higher traffic to the website during
nights and weekends. You need to configure the model endpoint ' s deployment settings to minimize latency and cost. What should you do?
You plan to deploy the model to a new Vertex Al endpoint that will integrate with your website application.
You expect higher traffic to the website during
nights and weekends. You need to configure the model endpoint ' s deployment settings to minimize latency and cost. What should you do?
Correct Answer: B
Deploying a model to an endpoint in Vertex AI associates physica l resources with the model so it can serve online predictions with low latency 1 . By configuring the mode l deployment settings to use an n1-standard-
4 machine type and setting the minReplicaCount value to 1 and the maxReplicaCount value to 8, you can ensure that the model scales according to the traffic, thereby minimizing latency and cost 1 . The n1-standard-
4 machine type provides a balance between computing power and cost, and the dynamic sca ling allows the model to handle higher traffic during nights and weekends without incurring unnecessary costs during off- peak times
4 machine type and setting the minReplicaCount value to 1 and the maxReplicaCount value to 8, you can ensure that the model scales according to the traffic, thereby minimizing latency and cost 1 . The n1-standard-
4 machine type provides a balance between computing power and cost, and the dynamic sca ling allows the model to handle higher traffic during nights and weekends without incurring unnecessary costs during off- peak times
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