Microsoft · DP-700 · Associate
Implementing Data Engineering Solutions Using Microsoft Fabric (DP-700) — Practice Questions and Mock Exam
Practice real DP-700 questions, never dumps. Alex explains every answer, and your readiness score tells you when you're ready to pass.
Checked against Microsoft · July 2026Current exam version
Overview
About the exam
The DP-700 certification validates expertise in implementing data engineering solutions using Microsoft Fabric. It covers designing data loading patterns, implementing and managing analytics solutions, ingesting and transforming batch and streaming data, orchestrating pipelines and notebooks, configuring security and governance, and monitoring and optimizing Fabric analytics solutions.
This certification is designed for data engineers who build and maintain enterprise-scale data engineering solutions in Microsoft Fabric. Candidates should have experience with data ingestion, transformation, and orchestration using SQL, PySpark, and Kusto Query Language (KQL), along with knowledge of data architecture patterns and lifecycle management.
Exam Domains
What's on the exam
The exam consists of 40–60 questions to be completed in approximately 100 minutes (100 minutes if labs are included). Question types include multiple-choice, multiple-select, drag-and-drop, and hot area formats. Questions test your ability to design data loading patterns, create pipelines and notebooks, implement streaming solutions, and troubleshoot data engineering issues. Expect scenarios requiring PySpark, SQL, and KQL proficiency.
Configure Microsoft Fabric workspace settings, implement lifecycle management, configure security and governance, and orchestrate processes
Design and implement loading patterns, ingest and transform batch data, and ingest and transform streaming data
Monitor Fabric items, identify and resolve errors, and optimize performance
SourceMicrosoft study guide
Format
What to expect
Watch out
Where candidates struggle
This exam requires practical data engineering experience in Fabric. Candidates who know only traditional ETL tools or Azure Data Factory without Fabric-specific knowledge often struggle with the platform's unique data engineering patterns.
- 01Pipeline vs Notebook — Not knowing when to use Data Factory pipelines, Dataflow Gen2, or Spark notebooks for different data transformation scenarios.
- 02Streaming Architecture — Confusing Eventstreams, Spark structured streaming, and Real-Time Intelligence and their appropriate use cases.
- 03OneLake Shortcuts — Struggling with OneLake shortcut configurations, security implications, and when to use shortcuts versus data copies.
- 04Performance Optimization — Overlooking Spark optimization techniques, V-Order, and table maintenance operations for lakehouse performance.
- 05Error Troubleshooting — Not understanding how to identify and resolve errors across pipelines, notebooks, Dataflow Gen2, and Eventstream components.
Details
Exam logistics
Delivered via Pearson VUE online or at testing centers. Available in English, Japanese, Chinese, French, German, Spanish, and Portuguese. The certification is valid for 1 year with a free renewal assessment on Microsoft Learn.
SourceMicrosoft exam page
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