Explanation:
Correct Options: A. Implementing data validation tests at each stage of the pipeline and E. Conducting regular audits of the data processing logic and outputs
Data validation tests are crucial for ensuring the accuracy, completeness, and consistency of data as it moves through the pipeline. Regular audits complement these tests by providing an additional layer of oversight, ensuring that the pipeline adheres to regulatory standards and maintains data integrity over time.
Why Other Options Are Incorrect:
Ultimate access to all questions.
In the context of implementing changes to a data processing pipeline, which methods are essential for maintaining data quality? Consider a scenario where the pipeline processes sensitive financial data requiring high accuracy and compliance with regulatory standards. Choose the two most effective methods from the options provided.
A
Implementing data validation tests at each stage of the pipeline
B
Reducing the level of data encryption to speed up processing times
C
Disabling auto-scaling features to reduce operational costs
D
Increasing the computational resources allocated to the pipeline
E
Conducting regular audits of the data processing logic and outputs
No comments yet.