Databricks Machine Learning Associate exam dumps

Databricks Machine Learning Associate practice question 469 of 656

Databricks Certified Machine Learning Associate. Associate level, Databricks. Free question with the correct answer and a full explanation.

Databricks Machine Learning Associate Question 469

Select 3

You are working on a Databricks project and want to register a trained machine learning model into the Unity Catalog Model Registry using the MLflow Client API. Which of the following steps are required to successfully accomplish this?

  1. A

    Specify the Unity Catalog model URI when calling the MLflow Client's log_model method.

  2. B

    Use the MLflow Client's create_registered_model method to create a model entry in the Unity Catalog registry.

  3. C

    Ensure the model's storage location is mapped to a Unity Catalog-compatible catalog and schema.

  4. D

    Call the MLflow Client's register_model method and pass the Unity Catalog model URI.

  5. E

    Grant appropriate permissions to the Unity Catalog registry for the workspace user or group.

Show answer and explanation

Correct answers: C, D, E

Explanation

Registering a model in the Unity Catalog Model Registry using the MLflow Client API requires ensuring that the model's storage is compatible with Unity Catalog's structure, using the correct API method (register_model), and having the necessary permissions on the Unity Catalog registry. Other methods, such as log_model and create_registered_model, are not relevant or sufficient for this specific task.

  • A. Incorrect.

    Incorrect. The log_model method is used to log the model artifact to an MLflow tracking server or a storage backend, not to register it in Unity Catalog.

  • B. Incorrect.

    Incorrect. The create_registered_model method is not used for Unity Catalog model registration. Instead, registration is handled by the register_model method.

  • C. Correct.

    Correct. Unity Catalog requires that the model be stored in a catalog and schema that are compatible with Unity Catalog's storage structure.

  • D. Correct.

    Correct. The register_model method is the appropriate MLflow Client API method for registering a model, and you must specify the Unity Catalog URI in this step.

  • E. Correct.

    Correct. Permissions must be granted to the user or group in order to successfully register and manage models in Unity Catalog.

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