Hi Sumit,

Thank you for your response, and apologies for my long mail.

I noticed that the "Advanced techniques with Spark Declarative Pipeline" content has been significantly revised and now includes newer concepts such as flows and Iceberg reads, which appear to be quite different from the earlier material. This seems to be a substantial shift in the curriculum.

Given this, I would like to seek clarification on the following:

1. Is the newly introduced Advanced Lakeflow / DLT content (including flows and Iceberg integration) mandatory for the Data Engineer Professional Certification exam?
2. Should we continue to prepare the earlier Structured Streaming topics, such as:
• Structured Streaming fundamentals
• Reading from streaming queries
• Streaming from Delta Lake
• Aggregations, time windows, and watermarks
• Event time processing
• Trigger types and output modes
• Stream joins
• Auto Loader ingestion patterns
• Data quality enforcement
• Streaming ETL labs
  Since the exam guide has not been updated post-November 2025, could you please confirm the final, module-wise list of topics that are currently in scope for the certification exam?
3. I have attached a snapshot of the Advanced module (Module 1) for reference—could you please confirm if this reflects the expected coverage for the exam?

These recent changes have made it slightly challenging to determine the correct preparation path, and I want to ensure I am focusing on the most relevant and up-to-date material.

I would appreciate your guidance on this.

Thank you again for your support.

Best regards,

Shilpi Mishra