Describe Data Pipeline Best Practices DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   What is the purpose of monitoring in a data pipeline?

   • ATo increase the speed of data processing
   • BTo track the health and performance of the pipeline
   • CTo automatically fix all pipeline errors
   • DTo replace the need for logging
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2. 2application · medium

   A Python pipeline processes millions of records daily. The current implementation reads and writes one record at a time, and the team has observed that the pipeline takes too long to complete. They want to improve performance without changing the overall logic. Which optimization is most appropriate?

   • AProcess records in batches and use parallel processing where possible.
   • BUse a slower but more reliable storage format.
   • CRewrite the entire pipeline in a different language.
   • DIncrease the logging level to DEBUG to see more details.
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4. 3application · medium

   A team is designing a new Python data pipeline. They want to ensure it is maintainable, testable, and performant from the start. Which set of practices should they adopt?

   • AFocus only on performance, using the fastest possible libraries and parallel processing.
   • BUse a third-party orchestration tool and avoid writing any custom code.
   • CWrite the pipeline as a single script for simplicity, and optimize later if needed.
   • DStructure the pipeline as modular functions, include unit tests, and use efficient data processing techniques.
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5. 4foundation · easy

   Which practice is most important when designing a data pipeline in Python to ensure it can be maintained and extended over time?

   • APrioritizing speed over code readability
   • BWriting all logic in a single script for simplicity
   • CStructuring the pipeline as modular, reusable components
   • DEmbedding configuration values directly in the code
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6. 5application · medium

   A pipeline handles financial data that is subject to regulatory compliance. The team must ensure that data is not exposed to unauthorized users and that all access is traceable. What should they implement?

   • AStore the data in a private network and rely on network security only.
   • BAnonymize the data so that it is no longer considered sensitive.
   • CUse a shared service account for all pipeline operations to simplify access.
   • DEncrypt the data, enforce role-based access control, and maintain audit logs of all access.
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