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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?
Correct Answer: A
Section: [none] Explanation: The Tumbling window trigger supports backfill scenarios. Pipeline runs can be scheduled for windows in the past. Incorrect Answers: D: Schedule trigger does not support backfill scenarios. Pipeline runs can be executed only on time periods from the current time and the future. Reference: https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers