Databricks Certified Data Engineer - Professional

Explanation

In a complete CI/CD (Continuous Integration/Continuous Deployment) workflow, after implementing unit tests and running them after pushing changes to the repository, the next critical step is to run implementation tests when code is moved to a staging environment.

Why option B is correct:

• Staging environment testing is a key component of CI/CD workflows where code is tested in an environment that closely resembles production
• This ensures that the pipeline works correctly before deploying to production
• Implementation tests in staging validate that the integration between different components works as expected

Why other options are incorrect:

• Option A (anonymize sensitive information): While important for data privacy, this is not specifically part of creating a complete CI/CD workflow
• Option C (create data quality constraints): Data quality is important but represents a different aspect of data engineering, not specifically the workflow creation process
• Option D (modularize code): Code organization is a development best practice but not a required step for completing a CI/CD workflow

The complete CI/CD workflow typically includes: development → unit testing → staging environment testing → production deployment.