Databricks Machine Learning Professional exam dumps

Databricks Machine Learning Professional practice question 96 of 280

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

Databricks Machine Learning Professional Question 96

Select 2

You are working on a machine learning project in Databricks, and you want to automate the process of transitioning a model to 'Production' only after it passes all the validation tests. Which of the following steps should you take to achieve this using Model Registry Webhooks and Databricks Jobs?

  1. A

    Configure a Model Registry Webhook to trigger a Databricks Job whenever the model's stage is updated to 'Staging'.

  2. B

    Create a Databricks Job that runs validation tests against the model version and updates the model's stage to 'Production' if the tests pass.

  3. C

    Manually trigger the Databricks Job from the Model Registry whenever a new model version is registered.

  4. D

    Use a Model Registry Webhook to automatically delete a model version if its validation tests fail.

  5. E

    Set up a Model Registry Webhook to notify stakeholders via email after a model transitions to 'Production'.

Show answer and explanation

Correct answers: A, B

Explanation

To automate the model lifecycle in Databricks, you can use Model Registry Webhooks to trigger specific actions when events occur, such as when a model stage changes. By configuring a webhook to trigger a Databricks Job on a stage update and ensuring the job performs validation tests to decide if the model is ready for 'Production', you create a seamless, automated workflow. Other actions, such as manual triggers or email notifications, are not directly relevant to automation and are outside the scope of this scenario.

  • A. Correct.

    Correct: Configuring a Model Registry Webhook to trigger a Databricks Job on a stage update ensures that the validation process is automated whenever a model is promoted to 'Staging'.

  • B. Correct.

    Correct: This is a necessary step to automate the transition of a model to 'Production' based on the results of the validation tests.

  • C. Incorrect.

    Incorrect: Manually triggering the job defeats the purpose of automation, which is the focus of this question.

  • D. Incorrect.

    Incorrect: While deleting a model version could be part of a workflow, it is not directly relevant to automating the promotion of a model to 'Production'.

  • E. Incorrect.

    Incorrect: Sending notifications to stakeholders is not directly related to automating the model lifecycle using Model Registry Webhooks and Databricks Jobs.

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