Databricks Data Engineer Associate Question 460
Select 3You are managing a Databricks job that consists of multiple tasks. To ensure you are notified whenever a task fails, you need to configure an alert. Which of the following steps must you take to set up an alert for a failed task?
- A
Navigate to the Databricks Job Runs page and select the specific task to configure an alert.
- B
Enable email notifications for job failures by editing the job's settings.
- C
Use the 'Add Notification' option in the job configuration to specify an alert recipient.
- D
Set up a webhook integration to send alerts to a monitoring system upon task failure.
- E
Edit the task's notebook to include a script that sends an alert upon failure.
Show answer and explanation
Correct answers: B, C, D
Explanation
To set up alerts for failed tasks in Databricks, you can configure notifications for job failures using the 'Add Notification' option in the job settings. This includes email notifications or webhook integrations to send alerts to external systems. Editing the job's settings to enable email notifications is also a straightforward way to be informed of failures. However, configuring alerts at the task level or adding custom alert logic in notebooks is not a recommended or standard practice.
- A. Incorrect.
This option is incorrect because alerts are set up at the job level, not by navigating to individual task runs.
- B. Correct.
This option is correct because enabling email notifications for job failures is a common way to receive alerts.
- C. Correct.
This option is correct because using the 'Add Notification' option allows you to configure where alerts (like emails or webhooks) should be sent in case of job or task failures.
- D. Correct.
This option is correct because setting up webhook integrations is a valid approach for sending alerts to external monitoring systems when a task fails.
- E. Incorrect.
This option is incorrect because modifying the notebook to include custom alerting logic is not the standard way to configure alerts in Databricks.