DP-700 Study Roadmap for Microsoft Fabric

Start with workspaces, items, domains, permissions, and collaboration. Understand where lakehouses, warehouses, pipelines, notebooks, and reports live. Workspace design affects security, ownership, deployment, and how teams find data products.

Review OneLake, lakehouses, warehouses, Delta tables, shortcuts, and data layout. Learn why a team chooses lakehouse storage for Spark-driven engineering or a warehouse for relational analytics. This storage decision shapes the rest of the workflow.

Study Data Factory pipelines, Dataflows Gen2, mirroring, and streaming ingestion. Ask how the source data arrives, how fresh it must be, whether it needs transformation, and whether the workflow is batch, mirrored, or event-driven.

Review Spark notebooks, Dataflows Gen2, SQL transformations, and Delta table design. Connect each transformation method to who maintains it and how it will be deployed. A visual transformation and a notebook can both be valid, but they fit different maintenance and complexity needs.

Study Z-Order, materialized views, table design, query patterns, refresh behavior, and capacity monitoring. Performance questions usually include clues about query shape, repeated access, data layout, or capacity pressure. Match the fix to the bottleneck.

Review Eventstreams and Real-Time Intelligence after batch workflows are clear. Real-time requirements usually mention continuous events, streaming telemetry, or operational monitoring. Do not choose real-time tooling for a simple scheduled batch refresh.

Review workspace roles, item permissions, domains, OneLake access, Git integration, and deployment pipelines. Governance connects people, environments, and data assets. A good answer often protects access while still allowing the right team to build and release data products.

Finish with mixed review across ingestion, transformation, storage, performance, governance, real-time data, and monitoring. Sort every miss by workflow step. Then return to the specific Fabric tool or concept that caused the error before attempting another broad set.