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Question 89 - DP-300 discussion

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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?

A.
tumbling window
Answers
A.
tumbling window
B.
on-demand
Answers
B.
on-demand
C.
event
Answers
C.
event
D.
schedule
Answers
D.
schedule
Suggested answer: A

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

asked 02/10/2024
Carson Plunkett
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