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Microsoft Certified: Azure Data Fundamentals — Requirements & Free Practice

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Microsoft Certified: Azure Data Fundamentals

Demonstrate foundational knowledge of core data concepts related to Microsoft Azure data services.

Licensing authority: Microsoft · Application information

Initial by examination
Exam DP-900: Microsoft Azure Data Fundamentals
Account And Identity
A personal Microsoft account is recommended. The legal name on the Learn profile must match legal ID or the candidate cannot take the exam.
Applicability
Current official certification page still points to DP-900 and its July 21, 2026 skills. The older owner explanation establishes the earn-by-passing relationship, corroborated by the current page; its old training suggestions do not replace current eligibility. No official credential or route inception date is published in these sources, so those boundaries remain null.
Audience
For candidates beginning to work with data in the cloud. Familiarity with DP-900 learning material, relational/non-relational data and transactional/analytical workloads is recommended; the official current page does not frame this familiarity as a separate examination or mandated course completion.
Award
Pass DP-900 to earn the certification; this route binds the current English skills measured as of July 21, 2026.
Delivery
Online or test-center delivery is generally available, subject to provider availability. Candidates choosing online delivery must run the system pre-check before registration. Accommodation requests should precede scheduling.
Scheduling
Rolling appointments through Pearson VUE; Certiport is offered for students or educators. No more than 90 days in advance. At most two Microsoft Certification exams may be scheduled simultaneously through Pearson VUE; the quoted limit does not change Certiport scheduling.

Exam DP-900: Microsoft Azure Data Fundamentals

Provider
Pearson VUE; Certiport for students or educators
Format
Proctored, answer-scored technical examination; interactive components may occur.
Time limit
45 minutes
Passing score
700 or greater on the technical-exam scaled score of 1–1,000.
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.

  • Describe core data concepts — Official range: 25–30% (Practice allocation: 28.95%)
    • Describe ways to represent data
    • Identify options for data storage
    • Describe common data workloads
    • Identify roles and responsibilities for data workloads
  • Identify considerations for relational data on Azure — Official range: 20–25% (Practice allocation: 23.68%)
    • Describe relational concepts
    • Describe relational Azure data services
  • Describe considerations for working with non-relational data on Azure — Official range: 15–20% (Practice allocation: 18.42%)
    • Describe the capabilities of Azure storage
    • Describe the capabilities and features of Azure Cosmos DB
  • Describe an analytics workload — Official range: 25–30% (Practice allocation: 28.95%)
    • Describe common elements of large-scale analytics
    • Describe considerations for real-time data analytics
    • Describe data visualization in Microsoft Power BI
Examination sources