Hi Team,
I am currently preparing for the Data Engineer Professional Certification exam planned for May,2026, and I had a question regarding the recent updates to the course content.
Earlier, the course Data Engineer Learning Plan included detailed modules on 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
However, I am no longer able to find these topics explicitly listed in the current course outline.
It appears that content may have been reorganized.
Also, have observed a newer content in Advanced Lakeflow Declarative Pipelines.
I would like to confirm the following:
1. Are these streaming concepts still part of the exam syllabus, even if they are no longer presented as standalone modules?
2. Do I have to go through newer content for Lakeflow Declarative Pipelines, or should both concepts be prepared for the certification exam?
3. Could you please share the latest official list of topics/chapters that are in scope for the Data Engineer Professional Certification?
4. Are there any recommended learning paths or materials to ensure complete coverage given these recent changes?
Due to these updates, it has become a bit challenging to plan preparation effectively, and I want to ensure I am focusing on the right topics.
I would greatly appreciate your guidance so I can align my preparation accordingly.
Thank you for your support.