Google Professional Machine Learning Engineer
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You are an AI engineer at a popular video streaming platform. You have built a PyTorch classification model to predict customer churn. The customer retention team plans to contact at-risk customers with personalized offers each week. You want to deploy this model while minimizing maintenance effort. What should you do?
A
Use Vertex AI’s prebuilt containers for prediction. Deploy the container on Cloud Run to generate online predictions.
B
Use Vertex AI’s prebuilt containers for prediction. Deploy the model on Google Kubernetes Engine (GKE), and configure the model for batch prediction.
C
Deploy the model to a Vertex AI endpoint, and configure the model for batch prediction. Schedule the batch prediction to run weekly.
D
Deploy the model to a Vertex AI endpoint, and configure the model for online prediction. Schedule a job to query this endpoint weekly.