Databricks Machine Learning Associate exam dumps

Databricks Machine Learning Associate practice question 137 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 137

Single answer

You are working on transitioning a registered model to the 'Production' stage in the MLflow Model Registry using the Databricks UI. However, you notice that the transition request is pending approval. What could be the reason for this, and what should you do next?

  1. A

    The model registry is configured with stage transition permissions, and you do not have the required permissions to approve the transition.

  2. B

    The model version is already in the 'Production' stage, so no further action is required.

  3. C

    You need to manually delete the previous model in the 'Production' stage before transitioning the new model.

  4. D

    The transition request requires approval from a user with 'Approver' or 'Administrator' permissions in the Model Registry.

Show answer and explanation

Correct answer: A

Explanation

In the MLflow Model Registry on Databricks, stage transitions can be configured with role-based permissions. If a user without the required permissions attempts to transition a model's stage, the request will remain pending until an authorized user (with 'Approver' or 'Administrator' permissions) reviews and approves it. This ensures proper governance and control over model lifecycle stages.

  • A. Correct.

    This is correct. If the MLflow Model Registry is configured with stage transition permissions, users without the required permissions cannot directly transition a model's stage, and the transition request will remain pending approval.

  • B. Incorrect.

    This is incorrect. If the model version is already in the 'Production' stage, there would not be a pending transition request; the model's stage would already be updated.

  • C. Incorrect.

    This is incorrect. Deleting the previous model in 'Production' is not required for transitioning a new model. MLflow allows multiple models to exist in the registry, and stages can be updated without deletion.

  • D. Incorrect.

    This is incorrect. While approval is necessary in some cases, this option does not address the scenario where the user lacks permissions to approve their own transition request.

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