Implement a data retention policy
Implement resource tokens in Azure Databricks
Implement secure endpoints (private and public)
Load a DataFrame with sensitive information
Write encrypted data to tables or Parquet files
Manage sensitive information
Implement logging used by Azure Monitor
Configure monitoring services
Monitor stream processing
Measure performance of data movement
Monitor and update statistics about data across a system
Monitor data pipeline performance
Schedule and monitor pipeline tests
Measure query performance
Interpret Azure Monitor metrics and logs
Implement a pipeline alert strategy