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Exam DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric
Exam DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric is the Microsoft Associate-level certification exam for data engineers who ingest and transform data, secure and manage analytics solutions, and monitor and optimize analytics solutions in Microsoft Fabric; candidates should be skilled in SQL, PySpark, and KQL. Passing it earns the Microsoft Certified: Fabric Data Engineer Associate certification.
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QuestionsTypically 40–60 questions; Microsoft does not publish an exact count and the number can vary by exam; unscored items may be included
Testing time100 minutes of exam time (120-minute seat time per Microsoft's duration table for associate exams without labs)
ScoringPassing score of 700 or greater on a 1–1,000 scaled-score scale
Exam feeUSD 165 typical for Associate/Expert exams; priced by country/region of proctoring, taxes may apply; student discounts available
Prep options
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Exam overview
What to know before choosing your prep
- Who runs it
- Microsoft
- Category
- Data & Analytics
- Current version
- DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric, current skills-measured version as of July 21, 2026
- Where it applies
- Global
- Exam languages
- English, German, Spanish, French, Japanese, Brazilian Portuguese, Simplified Chinese
- Score scale
- 1–1,000 (scaled)
- Testing provider
- Pearson VUE
- Format
- Computer-based, proctored; at a Pearson VUE test center or online with remote proctoring; may include interactive components
- Availability
- Year-round by appointment through Pearson VUE; scheduling allowed no more than 90 days in advance and a maximum of two Microsoft Certification exams scheduled at a time
- Results
- Results within minutes for most exams (exams with labs take about 30 minutes to score); score posted to the Microsoft Learn profile within 24 hours
- Remote testing
- Available
Exam structure
Single exam across three skills-measured areas: Implement and manage an analytics solution (30–35%), Ingest and transform data (30–35%), and Monitor and optimize an analytics solution (30–35%); question types are not disclosed in advance and may include case studies, labs, and interactive components; candidates should be skilled in SQL, PySpark, and KQL
Where rules vary
Vendor certification exam delivered worldwide through Pearson VUE test centers and online proctoring; no country restriction stated
Eligibility
No formal prerequisites; expected proficiencies include data loading patterns, data architectures, and orchestration processes, plus manipulating and transforming data with SQL, PySpark, and KQL
Retake policy
Retake allowed 24 hours after a failed first attempt; longer waiting periods for subsequent retakes