Question 105 of 280
Single answerYou work for a gaming company that develops massively multiplayer online (MMO) games. You built a TensorFlow model that predicts whether players will make in-app purchases of more than $10 in the next two weeks. The model’s predictions will be used to adapt each user’s game experience. User data is stored in BigQuery. How should you serve your model while optimizing cost, user experience, and ease of management?
✓AImport the model into BigQuery ML. Make predictions using batch reading data from BigQuery, and push the data to Cloud SQL
BDeploy the model to Vertex AI Prediction. Make predictions using batch reading data from Cloud Bigtable, and push the data to Cloud SQL.
CEmbed the model in the mobile application. Make predictions after every in-app purchase event is published in Pub/Sub, and push the data to Cloud SQL.
DEmbed the model in the streaming Dataflow pipeline. Make predictions after every in-app purchase event is published in Pub/Sub, and push the data to Cloud SQL.
✓
Correct Answer: A
Import the model into BigQuery ML. Make predictions using batch reading data from BigQuery, and push the data to Cloud SQL
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Explanation
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