Hi eveyone, I’m trying to decide between DP-600 (Fabric Analytics Engineer) and DP-700 (Fabric Data Engineer). My main job is building and maintaining Power BI reports, and I already have solid experience with reporting and visualization. From what I understand: - DP-600 is more focused on end-to-end analytics in Fabric, including Power BI, semantic models, and pipelines. - DP-700 goes deeper into the data engineering side—data ingestion, transformation, orchestration, and monitoring. Given my role in reporting, should I take DP-600, or would DP-700 be better for future growth in Fabric? Thanks for your advice!

I’m working on a Microsoft Fabric setup where I have: - ~400 notebooks attached to 25 lakehouses, 15 warehouses, and 20 semantic models. - Deployment pipelines automated via Azure DevOps PowerShell scripting. The challenge: After deploying from Dev → Test, my Test lakehouse still references the Dev stage. I’d like to fully automate deployment rules using parameters, so the stage references update automatically. Question: Is there a way in Fabric to automate deployment rules in this scenario, or a recommended approach?

Hi , I had question for Fabric Lakehouse. How to create different environments (test/dev/prod) for lakehouse for the same Workspace and how to create different environments for tables (test/dev/prod) for lakehouse-tables.