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.