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Microsoft Certified: Fabric Analytics Engineer Associate — Requirements & Free Practice

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Microsoft Certified: Fabric Analytics Engineer Associate

Microsoft certification for candidates with expertise in designing, creating, and managing analytical assets such as semantic models, warehouses, or lakehouses.

Licensing authority: Microsoft · Application information

Initial by examination
Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric
Candidate Agreement
Candidates acknowledge the Microsoft Certification Exam Candidate Agreement. Academic delivery additionally requires documented current student or faculty status at an accredited academic institution; this is conditional on academic registration, not a universal student prerequisite.
Candidate Profile
The official profile expects expertise with analytical assets and SQL, KQL and DAX. Training and hands-on experience are recommended preparation; the study guide does not present its resource list as additional required examinations.
Date Limits
The official skills applicability date establishes the examination version start. The certification's inception date and the route's inception date are not stated in the applicable sources, so their validFrom and validThrough remain null; checking and retrieval dates are not substituted.
Identity And Accommodations
The Learn Profile legal name must match the Legal ID or the candidate cannot take the exam. Accommodation requests should be made before scheduling. Online versus test-center delivery depends on the options offered by the provider; online candidates must satisfy the provider's technical and environment requirements.
Qualification
Pass the single DP-600 examination listed for this certification; Microsoft defines certification detail pages as the list of examinations required to earn the certification. This record concerns initial qualification only.
Retakes
After a first failure wait 24 hours; subsequent attempts require 14 days. Maximum five attempts in a 12-month period from the first attempt, with another attempt after 12 months from that first attempt if all five fail. Retaking a passed exam is barred unless the certification has expired, and retakes require payment if applicable. A waiting-period waiver may be requested only for exam connectivity or equipment failures with a Pearson VUE case number.
Scheduling
Use the certification detail page to schedule through Pearson VUE. A personal Microsoft account is strongly recommended; records registered with an organizational AAD account can be lost when the candidate leaves. At most two Microsoft Certification exams may be scheduled concurrently through Pearson VUE, and appointments cannot be scheduled more than 90 days in advance. No single application-window closing date is published for this rolling appointment route.
Version And Language
The frozen scope is English skills measured as of October 19, 2026. English updates precede localization, approximately eight weeks subject to exceptions. No assumption is made that another language's October appointment uses the same update.

Exam DP-600: Implementing Analytics Solutions Using Microsoft Fabric

Provider
Pearson VUE
Format
Proctored, answer-scored certification examination; interactive components may be included. No DP-600-specific item-type list or format distribution is disclosed in the applicable materials.
Time limit
100 minutes to complete the assessment, as stated on the DP-600 certification detail page.
Passing score
700 or greater on the technical-examination scale of 1 to 1,000; this is a scaled score, not a statement that 70% correct is sufficient.
Examination outline

The authority publishes percentage ranges for each content area. The practice percentages below use the midpoint of each range, normalized to 100%; they are not exact percentages published by the authority. Practice question counts may differ slightly because of rounding.

  • Maintain a data analytics solution — Official range: 25–30% (Practice allocation: 26.83%)
    • Implement security and governance
    • Maintain the analytics development lifecycle
  • Prepare data — Official range: 45–50% (Practice allocation: 46.34%)
    • Get data
    • Transform data
    • Query and analyze data
  • Implement and manage semantic models — Official range: 25–30% (Practice allocation: 26.83%)
    • Design and build semantic models
    • Optimize enterprise-scale semantic models
Examination sources