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Developing AI Apps and Agents on Azure — Information & Free Practice

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Developing AI Apps and Agents on Azure

Provider
Pearson VUE
Format
Proctored certification examination; interactive components may be included.
Time limit
120 minutes
Passing score
700 or greater; Microsoft technical examination scaled scores range from 1 to 1,000, and 700 does not necessarily mean 70% correct.
Exam fee
Price based on the country or region in which the exam is proctored; no fixed US price is established by the retrieved page.
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.

  • Plan and manage an Azure AI solution — Official range: 25–30% (Practice allocation: 28.21%)
    • Choose the appropriate Foundry services for generative AI and agents
    • Set up AI solutions in Foundry
    • Manage, monitor, and secure AI systems
    • Implement responsible AI across generative AI and agentic systems
  • Implement generative AI and agentic solutions — Official range: 30–35% (Practice allocation: 33.33%)
    • Build generative applications by using Foundry
    • Build agents by using Foundry
    • Optimize and operationalize generative AI systems
  • Implement computer vision solutions — Official range: 10–15% (Practice allocation: 12.82%)
    • Design and implement image- and video-generation solutions
    • Design and implement multimodal understanding workflows
    • Implement responsible AI for multimodal content
  • Implement text analysis solutions — Official range: 10–15% (Practice allocation: 12.82%)
    • Apply language model text analysis
    • Implement speech solutions
  • Implement information extraction solutions — Official range: 10–15% (Practice allocation: 12.82%)
    • Build retrieval and grounding pipelines
    • Extract content from documents
Examination sources

Related license preparation

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