DP-600 + DP-700 Study Plan
DP-600 + DP-700 — 30-Day Study Plan
Tags: #learning #microsoft #fabric #certification #dp-600 #dp-700
Status: #active
Created: 2026-03-19
About These Exams
- DP-600 — Implementing Analytics Solutions Using Microsoft Fabric → Fabric Analytics Engineer Associate
- DP-700 — Implementing Data Engineering Solutions Using Microsoft Fabric → Fabric Data Engineering Associate
- ~30–40% topic overlap — run them in parallel, take DP-700 first
Week 1 — Fabric Foundations (Shared Core)
Days 1–7 | ~1.5–2 hrs/day
| Day | Topic |
|---|---|
| 1 | Microsoft Fabric overview — architecture, workspaces, capacities |
| 2 | OneLake & Lakehouse — files vs tables, Delta format, shortcuts |
| 3 | Data Factory in Fabric — pipelines, dataflows, copy activity |
| 4 | Spark in Fabric — notebooks, Spark pools, PySpark basics |
| 5 | Data Warehouse in Fabric — T-SQL, cross-DB queries, warehouse vs Lakehouse |
| 6 | Security & governance — workspace roles, RLS, sensitivity labels, Purview |
| 7 | Review + Microsoft Fabric fundamentals assessment on Learn |
Week 2 — DP-700 Deep Dive (Data Engineering)
Days 8–14 | ~2 hrs/day
| Day | Topic |
|---|---|
| 8 | Data ingestion patterns — batch vs streaming, event streams |
| 9 | Transformations with Spark — Delta tables, merge, upserts, partitioning |
| 10 | Dataflows Gen2 — Power Query M, transformations, staging |
| 11 | Medallion architecture — Bronze/Silver/Gold implementation in Lakehouse |
| 12 | Pipeline orchestration — triggers, dependencies, error handling |
| 13 | Monitoring & optimization — Spark UI, query optimization, capacity metrics |
| 14 | DP-700 practice questions + gap review |
Week 3 — DP-600 Deep Dive (Analytics Engineering)
Days 15–21 | ~2 hrs/day
| Day | Topic |
|---|---|
| 15 | Semantic models — Power BI datasets in Fabric, Direct Lake mode |
| 16 | DAX fundamentals — calculated columns, measures, time intelligence |
| 17 | Data modeling — star schema, relationships, cardinality |
| 18 | Reports & dashboards — report building, paginated reports |
| 19 | Performance tuning — aggregations, query reduction, model optimization |
| 20 | Deployment pipelines — CI/CD, git integration, workspace promotion |
| 21 | DP-600 practice questions + gap review |
Week 4 — Labs, Mock Exams & Final Push
Days 22–30 | ~2–3 hrs/day
| Day | Topic |
|---|---|
| 22 | Hands-on lab — end-to-end Lakehouse pipeline (ingest → transform → report) |
| 23 | Hands-on lab — semantic model in Direct Lake mode |
| 24 | Full mock exam: DP-700 (identify weak areas) |
| 25 | Targeted review of DP-700 weak areas |
| 26 | Full mock exam: DP-600 (identify weak areas) |
| 27 | Targeted review of DP-600 weak areas |
| 28 | Quick-reference flashcard review — both exams |
| 29 | Light review + rest. No cramming. |
| 30 | Exam day(s) 🎯 |
Resources
Free
- Microsoft Learn — DP-600 — official path, covers ~80% of exam
- Microsoft Learn — DP-700 — same
- DP-600 Official Study Guide
- DP-700 Official Study Guide
- Guy in a Cube (YouTube) — best Power BI/Fabric channel
- Will's Data Corner (YouTube) — strong DP-700 content
- Microsoft Fabric YouTube — feature demos
- Microsoft Fabric free trial — hands-on lab environment
Practice Tests
- MeasureUp — official Microsoft partner, most exam-accurate
- ExamTopics DP-600 — free community questions
- ExamTopics DP-700
Community
Key Tips
- Direct Lake mode — heavy coverage on both exams; know exactly when it falls back to DirectQuery
- Delta Lake internals — V-Order, OPTIMIZE, VACUUM show up on DP-700
- DAX vs M — DP-600 tests both, don't neglect Power Query M
- Hands-on labs are non-negotiable — scenario-based questions require real experience
- Take DP-700 first — data engineering → analytics is the natural learning flow
- Book the exams at the start of Week 4 to lock in a hard deadline