Describe Data Pipeline Best Practices DATA-ENGINEERING-OPTIMIZE Practice Questions (Page 7)

Questions 31–33

1. 31expert · hard

   A team is developing a pipeline that uses several Python libraries. They want to ensure that the pipeline can be reproduced in the future, even if the libraries are updated. They also want to make it easy for new team members to set up the environment. What is the best practice?

   • AInstall the latest versions of all libraries and hope they remain compatible.
   • BUse a requirements.txt file without pinning versions.
   • CCopy the entire Python installation to a shared drive for everyone to use.
   • DUse a dependency lock file and a virtual environment, and document the setup process.
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2. 32foundation · easy

   What is a primary benefit of following best practices in data pipeline design?

   • AEnsuring the pipeline is reliable, maintainable, and scalable
   • BGuaranteeing zero data errors
   • CEliminating the need for testing
   • DMaking the pipeline run faster than any alternative
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3. 33foundation · easy

   Why is version control important for data pipeline code?

   • AIt automatically deploys the pipeline
   • BIt speeds up pipeline execution
   • CIt eliminates the need for testing
   • DIt tracks changes and allows rollback to previous versions
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