nerdexam
Microsoft

DP-300 · Question #125

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…

The correct answer is A. tumbling window. 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…

Submitted by kev92· Mar 6, 2026Configure and manage automation of tasks

Question

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?

Options

  • Atumbling window
  • Bon-demand
  • Cevent
  • Dschedule

How the community answered

(47 responses)
  • A
    77% (36)
  • B
    13% (6)
  • C
    6% (3)
  • D
    4% (2)

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. https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipeline-execution-triggers

Community Discussion

No community discussion yet for this question.

Sign up to join the discussion
Full DP-300 Practice