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Microsoft · DP-700 · Associate

Implementing Data Engineering Solutions Using Microsoft Fabric

The DP-700 certification validates expertise in implementing data engineering solutions using Microsoft Fabric. 50+ AI-generated practice questions with explanations. Free trial, pass guarantee.

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50 Questions
100min Time Limit
700/ 1000 Pass Score

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.

What's on the exam

The exam consists of 40–60 questions to be completed in approximately 100 minutes (120 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.

Implement and manage an analytics solution 32%

Configure Microsoft Fabric workspace settings, implement lifecycle management, configure security and governance, and orchestrate processes

Ingest and transform data 33%

Design and implement loading patterns, ingest and transform batch data, and ingest and transform streaming data

Monitor and optimize an analytics solution 35%

Monitor Fabric items, identify and resolve errors, and optimize performance

What to expect

multiple choice
41%
troubleshooting
15%
drag drop
12%
multiple response
10%
ordering
8%
dropdown selection
8%
true false
6%

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.

  1. 01
    Pipeline vs Notebook — Not knowing when to use Data Factory pipelines, Dataflow Gen2, or Spark notebooks for different data transformation scenarios.
  2. 02
    Streaming Architecture — Confusing Eventstreams, Spark structured streaming, and Real-Time Intelligence and their appropriate use cases.
  3. 03
    OneLake Shortcuts — Struggling with OneLake shortcut configurations, security implications, and when to use shortcuts versus data copies.
  4. 04
    Performance Optimization — Overlooking Spark optimization techniques, V-Order, and table maintenance operations for lakehouse performance.
  5. 05
    Error Troubleshooting — Not understanding how to identify and resolve errors across pipelines, notebooks, Dataflow Gen2, and Eventstream components.

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.

Delivery Pearson VUE online proctored or at authorized testing centers worldwide
Retake policy 24-hour wait after the first attempt, 14 days between subsequent attempts, maximum 5 attempts per exam within a 12-month period
Validity 1 year
Career outcomes Fabric Data Engineer, Data Platform Engineer, ETL Developer, Data Integration Engineer, Analytics Engineer
Renewal Free renewal assessment on Microsoft Learn, available starting 6 months before expiration. Must be completed before the certification expires.
Study time ~50 hours
Official guide View on vendor site

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