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!