Databricks Machine Learning Professional exam dumps

Databricks Machine Learning Professional practice question 121 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 121

Single answer

You are managing a Databricks workspace and need to clean up unused webhooks associated with your MLflow tracking server. First, you want to list all existing webhooks and then delete a specific webhook by its ID. Which of the following sequence of steps correctly accomplishes this task?

  1. A

    Use the MLflow CLI command mlflow webhooks list to list all webhooks, then use mlflow webhooks delete --id <webhook-id> to delete the specified webhook.

  2. B

    Use the Databricks REST API endpoint /api/2.0/mlflow/webhooks/list to retrieve all webhooks, then use /api/2.0/mlflow/webhooks/delete with the webhook ID to delete the specified webhook.

  3. C

    Use the Databricks SQL interface to query the webhooks table to list all webhooks, then delete the webhook record directly from the table.

  4. D

    Use the MLflow Python client mlflow.list_webhooks() to list all webhooks, then call mlflow.delete_webhook(<webhook-id>) to delete the specified webhook.

Show answer and explanation

Correct answer: B

Explanation

Managing webhooks in Databricks requires the use of the MLflow REST API. The /api/2.0/mlflow/webhooks/list endpoint is used to retrieve all webhooks, and the /api/2.0/mlflow/webhooks/delete endpoint is used to delete a webhook by specifying its ID. Other interfaces, such as the MLflow CLI or Python client, do not currently support webhook management.

  • A. Incorrect.

    This option is incorrect because the MLflow CLI does not currently support webhook management commands like mlflow webhooks list or mlflow webhooks delete. These tasks must be performed using the REST API.

  • B. Correct.

    This option is correct because the Databricks REST API provides dedicated endpoints for listing and deleting webhooks. The /api/2.0/mlflow/webhooks/list endpoint retrieves all webhooks, and /api/2.0/mlflow/webhooks/delete deletes a webhook by its ID.

  • C. Incorrect.

    This option is incorrect because Databricks SQL cannot be used to manage webhooks. Webhooks are managed programmatically via the REST API or other supported interfaces, not through querying tables.

  • D. Incorrect.

    This option is incorrect because the MLflow Python client does not provide functions like mlflow.list_webhooks() or mlflow.delete_webhook(). These operations must be carried out using the REST API.

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