Add log=true to the prediction request is correct because it explicitly enables the prediction API to record the user interaction so the team can collect examples for active learning.

When you set Add log=true to the prediction request the service will persist the query and the prediction outcome in its conversation logging store so those records can be reviewed, annotated, and used to improve the intent model.

Use show_all_intents=true in the prediction request is incorrect because that parameter only changes the response to include multiple intent candidates and their scores and it does not cause the interaction to be saved for active learning.

Enable sentiment analysis is incorrect because adding sentiment analysis provides sentiment metadata about a request but it does not instruct the API to log the full interaction for later review and training.

Turn on Cloud Audit Logs for the agent is incorrect because audit logs capture administrative and API access events and they are not intended to collect conversational content in the way that the prediction request logging flag does.

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