Forum Discussion
Fabric Engineer
Hi IUakpakwu,
I agree that the exact questions will depend on the role and environment, but I would prepare for scenario-based questions rather than just definitions of individual Fabric features.
One useful guide is the current DP-700 skills measured, which were updated for July 2026. I would be comfortable explaining things like:
- when you would choose a Lakehouse, Warehouse or Eventhouse
- full vs incremental loading patterns
- when to use a pipeline, notebook, Dataflow Gen2, SQL or KQL
- how you would orchestrate dependencies, parameters and failures
- workspace/item/OneLake security
- how you would troubleshoot and optimize a slow pipeline, Spark workload or query
- how you would approach streaming data with Eventstreams/KQL
I would also expect some SQL and possibly PySpark/KQL depending on the position. Microsoft currently includes all three in the Fabric Data Engineer role profile.
Given your insurance background, I would practice taking a data problem you already know well and explaining how you would implement it end-to-end in Fabric. That lets you combine your existing domain experience with the engineering skills you are building.
Good luck with DP-700 in September!
AI-assisted drafting: AI was used to help structure and phrase this response. I reviewed and validated the technical content before posting.
Hi IUakpakwu,
Interview questions will very much depend on the role you are interviewing for, the company, and what their current enviornment looks like.
The general Fabric questions I would expect should all be covered in dp-700, but instead of explicitly about X feature, the interviewer will likely give a scenario and ask what your solution might be.
Great thanks for your feedback
