Question 130 of 280
Single answerYou are working on a system log anomaly detection model for a cybersecurity organization. You have developed the model using TensorFlow, and you plan to use it for real-time prediction. You need to create a Dataflow pipeline to ingest data via Pub/Sub and write the results to BigQuery. You want to minimize the serving latency as much as possible. What should you do?
AContainerize the model prediction logic in Cloud Run, which is invoked by Dataflow.
BLoad the model directly into the Dataflow job as a dependency, and use it for prediction.
✓CDeploy the model to a Vertex AI endpoint, and invoke this endpoint in the Dataflow job.
DDeploy the model in a TFServing container on Google Kubernetes Engine, and invoke it in the Dataflow job.
✓
Correct Answer: C
Deploy the model to a Vertex AI endpoint, and invoke this endpoint in the Dataflow job.
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Explanation
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