Azure Data Factory for Beginners - Build Data Ingestion - Change the Logging of Pipelines to Send Fail Message Only

The video tutorial explains how to modify a log pipeline metadata utility to send messages only when an ingestion pipeline fails. It covers setting up an if condition activity to evaluate the status of the pipeline, using Boolean expressions to determine success or failure, and handling actions for both cases. The tutorial concludes with steps to validate, publish, and test the pipeline using Azure Data Studio.

What is the main reason for modifying the log pipeline metadata utility?

• To reduce the number of success messages

• To send messages for every pipeline run

• To send messages only when a pipeline fails

• To increase the number of messages sent

When should a success message be sent according to the new utility modification?

• Whenever a source file is processed

• Only when the entire batch completes successfully

• After each pipeline run

• After every 10 pipeline runs

What is the first step in deciding whether to send a message based on pipeline status?

• Automatically send a success message

• Ignore the pipeline status

• Send a message for every status

• Select the log pipeline metadata

What activity is added to evaluate the pipeline status?

• If condition activity

• Loop activity

• Copy activity

• Wait activity

What should be done if the pipeline status is false?

• Ignore the pipeline

• Log the pipeline information only

• Run the stored procedure and send a status message

• Send a success message

What is the final step before testing the pipeline?

• Delete the pipeline

• Send a test message

• Publish the pipeline

• Ignore the pipeline

Where can the results of the pipeline execution be checked?

• In Azure Data Studio

• In the email inbox

• In the system logs

• In the pipeline editor