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Answer: Use Azure Data Factory's built-in scheduling feature to schedule pipeline tests and Azure Monitor for real-time monitoring.
Scheduling and monitoring pipeline tests in Azure Data Factory involves using the built-in scheduling feature to automate the process and Azure Monitor for real-time monitoring. This approach ensures that tests are run consistently and any issues are detected and addressed promptly.
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You are responsible for scheduling and monitoring pipeline tests for a data integration project in Azure Data Factory. The project involves multiple pipelines that ingest, transform, and load data from various sources into a centralized data lake. Describe the process you would follow to schedule these tests, the tools you would use for monitoring, and how you would ensure that any issues are promptly addressed.
A
Use Azure Data Factory's built-in scheduling feature to schedule pipeline tests and Azure Monitor for real-time monitoring.
B
Manually run pipeline tests at scheduled intervals and use Azure Monitor for real-time monitoring.
C
Only use Azure Data Factory's built-in scheduling feature to schedule pipeline tests and ignore Azure Monitor.
D
Manually run pipeline tests at scheduled intervals and ignore Azure Monitor.
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