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Microsoft

DP-700 · Question #118

You need to ensure that the data engineers are notified if any step in populating the lakehouses fails. The solution must meet the technical requirements and minimize development effort. What should…

Box 1: An On failure dependency condition In Azure Data Factory pipelines, an "on failure" dependency condition specifies that a subsequent activity should run if the preceding activity fails. This allows for error handling and fallback mechanisms within the pipeline. If an…

Monitor and optimize an analytics solution

Question

You need to ensure that the data engineers are notified if any step in populating the lakehouses fails. The solution must meet the technical requirements and minimize development effort. What should you use? To answer, select the appropriate options in the answer area.

Exhibit

DP-700 question #118 exhibit

Explanation

Box 1: An On failure dependency condition In Azure Data Factory pipelines, an "on failure" dependency condition specifies that a subsequent activity should run if the preceding activity fails. This allows for error handling and fallback mechanisms within the pipeline. If an activity is linked to another activity via an "on failure" dependency, and the preceding activity fails, the linked activity will be executed. If the preceding activity succeeds, the linked activity will be skipped Box 2: An Office365Outlook activity Note: Automate and send notifications with Data Factory For example, you can use an Office 365 Outlook activity to send the output of a Copy activity by email Reference: https://learn.microsoft.com/en-us/azure/data-factory/tutorial-pipeline-failure-error-handling https://learn.microsoft.com/en-us/azure/data-factory/tutorial-end-to-end-integration

Topics

#Alerting#Monitoring#Error handling#Lakehouse operations

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