A. Run integration tests only in the production environment using full datasets to ensure complete accuracy of the testing process.

B. Use small subsets of production-like data and reduce training iterations while maintaining the same pipeline structure and validation checkpoints in a staging environment that closely matches production.

C. Skip the model training phase entirely and only test data transformations and API endpoints using mock model predictions.

D. Replace integration tests with unit tests for each pipeline component to reduce execution time and focus on individual component validation in a staging environment that closely matches production.