In a stream processing application, you need to create tests for data pipelines to ensure they handle various data anomalies and edge cases. Describe how you would design these tests, including the types of anomalies you would simulate and the tools you would use to automate the testing process.

Simulated

Simulate common anomalies like data duplication and missing values using manual scripts and perform tests manually.

0.0%

Use automated testing frameworks to simulate a wide range of anomalies, including data skew and late-arriving data, and integrate these tests into a CI/CD pipeline.

100.0%

Focus only on testing the data schema compliance and use static code analysis tools to ensure pipeline integrity.

0.0%

Manually inject anomalies into the data stream and observe the pipeline's behavior in real-time.

0.0%

Microsoft Azure Data Engineer Associate - DP-203

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Comments

In a stream processing application, you need to create tests for data pipelines to ensure they handle various data anomalies and edge cases. Describe how you would design these tests, including the types of anomalies you would simulate and the tools you would use to automate the testing process.