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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