You have an Azure Data Factory that contains 10 pipelines. You need to label each pipeline with its main purpose of either ingest, transform, or load. The labels must be available for grouping and…

The correct answer is D. an annotation. Annotations are additional, informative tags that you can add to specific factory resources: pipelines, datasets, linked services, and triggers. By adding annotations, you can easily filter and search for specific factory resources.

Submitted by sofia.br· Mar 30, 2026Secure, monitor, and optimize data storage and data processing

Question

You have an Azure Data Factory that contains 10 pipelines. You need to label each pipeline with its main purpose of either ingest, transform, or load. The labels must be available for grouping and filtering when using the monitoring experience in Data Factory. What should you add to each pipeline?

Options

Aa resource tag
Ba correlation ID
Ca run group ID
Dan annotation

How the community answered

(54 responses)

A
4% (2)
B
17% (9)
C
7% (4)
D
72% (39)

Explanation

Annotations are additional, informative tags that you can add to specific factory resources: pipelines, datasets, linked services, and triggers. By adding annotations, you can easily filter and search for specific factory resources.

Topics

#ADF annotations#pipeline monitoring#pipeline metadata#Data Factory filtering

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