A data professional asks a colleague to evaluate their changes to identify any potential issues. This practice is called what?

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Multiple Choice

A data professional asks a colleague to evaluate their changes to identify any potential issues. This practice is called what?

Code review is the process where a colleague examines your changes to catch defects, assess quality, and ensure adherence to standards. When a data professional asks a teammate to review what they’ve changed to identify potential issues, they’re performing a code review. The reviewer looks for logic errors, data quality risks, performance implications, and maintainability concerns before the changes are merged. This is typically done via a pull request with comments and suggested fixes. Unit testing evaluates whether code behaves as intended through automated tests; documentation focuses on describing how the system works; pair programming involves two developers coding together in real time.

Code review is the process where a colleague examines your changes to catch defects, assess quality, and ensure adherence to standards. When a data professional asks a teammate to review what they’ve changed to identify potential issues, they’re performing a code review. The reviewer looks for logic errors, data quality risks, performance implications, and maintainability concerns before the changes are merged. This is typically done via a pull request with comments and suggested fixes. Unit testing evaluates whether code behaves as intended through automated tests; documentation focuses on describing how the system works; pair programming involves two developers coding together in real time.

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