Multiple Choice Flashcards on 02 Databricks Certified Machine Learning Profes...

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Flashcard Practice Databricks Certified Machine Learning Professional Multiple Choice

A backend service uses the MLflow Deployments SDK to query a custom Databricks endpoint. It works from a developer notebook but fails in the production container because the Databricks host and token are not configured. Which design should the team use?

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Hard-code a developer's workspace token into the container image. Switch to Catalog Explorer queries because the SDK cannot run outside notebooks. Configure production host and service-principal credentials for the SDK client. Pass the endpoint name as registered_model_name when logging the next model version.

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