Answer: Specify a file naming pattern for the destination., Filter by the last modified date of the source files.

## Detailed Explanation To minimize daily data transfer between Azure Blob Storage and Azure Data Lake Storage Gen2, the solution must focus on **incremental loading** - transferring only new or modified files each day rather than all files. ### ✅ **Correct Answers: A and C** **A: Specify a file naming pattern for the destination** - This enables proper organization of files in the {Year}/{Month}/{Day}/ folder structure - Ensures files are stored systematically, making it easier to track which files have already been copied - Supports incremental loading by maintaining clear file organization and preventing duplicate transfers **C: Filter by the last modified date of the source files** - This is the **primary mechanism** for minimizing data transfer - Allows the pipeline to copy only files modified on the current day - Prevents re-transferring files that haven't changed since the last load - Directly addresses the core requirement of reducing daily data volume ### ❌ **Incorrect Answers** **B: Delete the files in the destination before loading the data** - This would **increase** data transfer by forcing re-upload of all files daily - Contradicts the goal of minimizing transfer volume - Creates unnecessary overhead and potential data loss risk **D: Delete the source files after they are copied** - While this prevents duplicate transfers, it's not necessary for minimizing data transfer - Could disrupt source system operations and create data retention issues - Filtering by modification date achieves the same goal without destructive operations ### **Optimal Strategy** The combination of **file naming patterns (A)** and **date filtering (C)** creates an efficient incremental loading solution: - Date filtering ensures only new/modified files are transferred - Proper file organization supports tracking and prevents duplication - This approach minimizes network bandwidth usage and reduces processing time while maintaining data integrity.

Author: LeetQuiz Editorial Team