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Microsoft Certified: Azure Cosmos DB AI Developer Associate — Requirements & Free Practice

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Microsoft Certified: Azure Cosmos DB AI Developer Associate

Microsoft certification validating Azure Cosmos DB AI application development skills through examination DP-420.

Licensing authority: Microsoft · Application information

Initial by examination
Award
Pass the DP-420 examination listed on the certification detail page; this route records the current English examination skills measured as of October 6, 2026.
Dates
The October 6, 2026 date establishes current examination skills and the certification name/level update; it is not evidence of the credential's or initial route's original inception, so those starting dates remain null.
Experience
Microsoft recommends C# or Python development experience and familiarity with Azure services, generative AI concepts, retrieval-based systems and application development practices; the audience recommendations are not represented as another mandatory examination.
Scheduling
Rolling Pearson VUE appointments subject to availability; no more than 90 days ahead and at most two Microsoft certification exams scheduled simultaneously. Use a Learn Profile with a legal name matching legal ID; a personal MSA is recommended. Request accommodations before scheduling. Online testing, when offered, requires a system pre-check and compliant equipment and space; test-center delivery is the alternative.

Exam DP-420: Building AI Applications with Azure Cosmos DB

Provider
Pearson VUE
Format
Proctored technical certification examination; interactive components may occur.
Time limit
100 minutes
Passing score
700 or greater on Microsoft's 1–1,000 scaled technical-exam scale; this is not 70% correct.
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.

  • Design and develop database solutions — Official range: 40–45% (Practice allocation: 43.59%)
    • Evaluate resource models and SDK solutions
    • Implement database operations
    • Design and implement data models and partitioning strategies
    • Implement change feed
    • Design and implement Azure Cosmos DB solutions by using AI-assisted tools
  • Secure, optimize, and deploy database solutions — Official range: 30–35% (Practice allocation: 33.33%)
    • Implement database security controls
    • Implement availability and recovery solutions
    • Optimize and remediate database performance
    • Implement Fleet management and monitoring across multiple accounts and subscriptions
  • Implement AI and analytics capabilities in database solutions — Official range: 20–25% (Practice allocation: 23.08%)
    • Design and implement AI retrieval
    • Design and implement agent memory stores
    • Design and implement operational analytics on Azure Cosmos DB
Examination sources