One takeaway: don’t underestimate data ingestion and engineering concepts; I focused too much on KQL in my prep.
I’ll personally go deeper into Databricks next, as Delta Lake + Databricks is still very common for core data engineering workloads on Azure today, even as Fabric continues to evolve.
Thanks to the community and best of luck to everyone still preparing!