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13/06/2022 3:53 pm
You have an Azure Data Factory pipeline that performs an incremental load of source data to an Azure Data Lake Storage Gen2 account.
Data to be loaded is identified by a column named LastUpdatedDate in the source table.
You plan to execute the pipeline every four hours.
You need to ensure that the pipeline execution meets the following requirements:
✑ Automatically retries the execution when the pipeline run fails due to concurrency or throttling limits.
✑ Supports backfilling existing data in the table.
Which type of trigger should you use?
- A . event
- B . on-demand
- C . schedule
- D . tumbling window
Suggested Answer: D
Explanation:
In case of pipeline failures, tumbling window trigger can retry the execution of the referenced pipeline automatically, using the same input parameters, without the user intervention. This can be specified using the property "retryPolicy" in the trigger definition.
Reference: https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-tumbling-window-trigger
Explanation:
In case of pipeline failures, tumbling window trigger can retry the execution of the referenced pipeline automatically, using the same input parameters, without the user intervention. This can be specified using the property "retryPolicy" in the trigger definition.
Reference: https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-tumbling-window-trigger