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DP-700 Fabric Engineer Hub

DP-700 Exam Full Course: Fabric Data Engineering (Will Needham / Fabric Dojo)

DP-700 Exam Full Course: Fabric Data Engineering (Will Needham / Fabric Dojo)

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Overview

Will Needham’s DP-700 Exam Full Course provides a concise, high-yield 6-hour walkthrough designed specifically for data engineers preparing for the Microsoft Fabric DP-700 certification exam.

The course emphasizes architectural trade-offs, scenario problem solving, real-world case studies, and practical demos across the core Fabric data engineering stack.

Syllabus & Key Modules Covered

1. Exam Scope & Architecture Strategy

  • DP-700 exam structure, domain breakdown, scoring thresholds, and case study time allocation strategies.
  • Architectural decision matrix: Choosing between Lakehouse, Warehouse, KQL Database, and Power BI semantic models based on latency, schema volatility, and concurrency requirements.

2. Lakehouse Engineering & Storage Layer

  • OneLake structure, shortcut federation (ADLS Gen2, AWS S3, Google Cloud Storage, Dataverse), and Mirroring architecture (Azure SQL, Cosmos DB, Snowflake).
  • Delta Lake ACID mechanics, Delta log commits, Parquet file layout, and V-Order performance implications.
  • PySpark DataFrame processing, Delta table maintenance (OPTIMIZE, VACUUM, Z-ORDER, Liquid Clustering).

3. Ingestion & Transformation Pipelines

  • Low-code data ingestion using Dataflows Gen2 (Power Query M transformations, compute engines, fast copy performance).
  • High-scale orchestration using Fabric Data Factory Pipelines (activities, expressions, parameters, failure handling, parent-child pipeline invocation).
  • Apache Airflow integration in Fabric for Python-first workflow DAG authoring.

4. Real-Time Intelligence & Streaming

  • Eventstream ingestion: Source connectors (Azure Event Hubs, IoT Hubs, Custom Endpoints), real-time filtering, schema transformation, and multi-destination routing.
  • Eventhouse & KQL Database: Ingestion batching vs. streaming ingestion, update policies, dynamic column handling, and high-frequency analytical querying.
  • Data Activator & Reflex alerting workflows based on real-time event stream conditions.

5. Security, Governance & CI/CD Lifecycle

  • End-to-end security model: Fabric workspace roles vs. OneLake item permissions (Read, ReadAll) vs. SQL granular security (RLS, CLS, Dynamic Data Masking).
  • Microsoft Purview integration: Sensitivity labels, data lineage, metadata cataloging, and endorsement (Promoted vs. Certified).
  • Capacity management: Smoothing algorithms, interactive (5-min) vs. background (24-hr) smoothing windows, throttling impact, and proactive capacity alerts.
  • ALM / CI/CD: Git integration (Azure DevOps / GitHub) and Deployment Pipelines (Dev -> Test -> Prod) with Fabric item sync.

Community & Practice Resources

  • Fabric Dojo Community: Dedicated online community space hosting study roadmaps, discussion threads, and scenario breakdowns.