As a Databricks Certified Data Engineer - Associate, you are tasked with designing a data pipeline in an Azure Databricks environment that ensures high data integrity and prevents data corruption. The solution must adhere to strict compliance standards, be cost-effective, and scalable. Considering these constraints, which of the following approaches BEST ensures data integrity and prevents data corruption in the pipeline? (Choose one option)

Simulated

Implement data validation and data cleansing processes, monitor data quality, and enforce data access controls.

94.0%

Disable data validation and data cleansing processes, monitor data quality, and enforce data access controls.

1.8%

Implement data validation and data cleansing processes, ignore data quality, and enforce data access controls.

1.5%

Implement data validation and data cleansing processes, monitor data quality, and disable data access controls.

2.7%

Databricks Certified Data Engineer - Associate