Fabric DP-700 exam guide covering warehouse design, pipelines, ingestion, transformation, and governance decisions.
This Microsoft Certified: Fabric Data Engineer Associate guide helps DP-700 candidates focus on what the exam tests, where close answers usually split, and which review page to use next.
Use the study plan to group Azure service, identity, and deployment choices, the cheat sheet for scenario decisions, the sample questions for applied practice, the FAQ for scope checks, the resources page for Microsoft Learn exam references, and the glossary when product names blur together.
| Item | Guide value |
|---|---|
| Vendor | Microsoft |
| Exam or credential | Microsoft Certified: Fabric Data Engineer Associate |
| Code or shorthand | DP-700 |
| Study level | Associate data engineering |
| IT Mastery page | DP-700 exam page |
| Guide shape | Start-here page, study plan, cheat sheet, sample questions, FAQ, resources, and glossary. |
| Lane | What to master | Common weak answer |
|---|---|---|
| Ingestion and transformation | Choose batch, streaming, pipelines, notebooks, dataflows, and Spark or SQL transforms for the workload. | Using one tool for every ingestion pattern without checking latency, volume, ownership, and transformation complexity. |
| Lakehouse and warehouse design | Model OneLake, lakehouse, warehouse, Delta tables, semantic boundaries, and medallion-style flow. | Mixing raw, curated, and serving data without governance or performance intent. |
| Data quality and orchestration | Apply validation, lineage, refresh, dependency, scheduling, monitoring, and recovery decisions. | Calling a pipeline successful without data-quality checks or failure handling. |
| Security and governance | Manage workspace access, item permissions, sensitivity, endorsement, lineage, and compliance needs. | Assuming workspace access alone is enough for all data access patterns. |
| Performance and cost | Tune storage layout, partitioning, query shape, compute choice, refresh patterns, and capacity pressure. | Scaling capacity before identifying query, model, or pipeline bottlenecks. |
Fabric data questions reward clean data flow: ingest, validate, transform, govern, serve, monitor, and optimize.
Use the current Microsoft Learn exam page for live exam details, including name, status, pricing, duration, delivery method, languages, retirement or beta changes, and domain weights where applicable.