AzureAssociate

Microsoft Certified: Azure AI App and Agent Developer Associate

AI-103

Develop AI apps and agents on Azure with Azure AI Foundry, Azure OpenAI and agent frameworks. Successor to AI-102.

Duration
100 min
Exam questions
40–60
Passing score
700 / 1000
Exam fee
$165
Question formats:Multiple choiceMultiple responseYes / NoYes / No statementsDrag and dropHot areacase study
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Mixed paper 1
Domain 1 · 25 questions
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Domain 1 · 25 questions
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Domain 1 · 25 questions
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Case study: Pellbridge Veterinary Partners
6 questions · 10 min
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Case study: Aldermoor Rail Services
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Domain papers 512 questions

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25 questions · 60 min
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Mixed paper 2
25 questions · 60 min
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25 questions · 60 min
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Mixed paper 4
25 questions · 60 min
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16 questions · 39 min
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16 questions · 39 min

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Mock exam 1
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Question 1Plan and manage an Azure AI solution

A refunds agent in Foundry Agent Service calls a payment tool. Policy states that any refund above 500 US dollars must be authorised by a human before money moves, and that the authorisation must be auditable. The agent otherwise runs unattended. How should you enforce the policy?

  1. A.

    Lower the model temperature so that the agent behaves deterministically when it handles refunds

  2. B.

    Add refund-related terms to a guardrail blocklist so that large refund requests are blocked

  3. C.

    Have the payment tool refuse refunds above 500 USD unless a logged human approval is attached

  4. D.

    Add a sentence to the agent instructions telling it to confirm large refunds with the user first

Show answer

Answer: C

The threshold must be enforced where the money moves: the payment tool itself refuses large refunds unless a recorded human approval accompanies the call.

  • A. Lower temperature makes wording more predictable but does not restrict which tools the agent may call.
  • B. A text blocklist cannot evaluate a numeric argument on a tool call and would block ordinary refund conversations.
  • C. The tool enforces the 500-dollar constraint in code and needs a logged human approval, so the rule can't be bypassed and every decision is auditable.
  • D. Instructions are advisory and can be argued away, and asking the customer is not an authorisation by the business.

What's on the exam

5 domains · 14 task statements, straight from the official exam guide (as of April 16, 2026).

  1. 1.1Choose the appropriate Foundry services for generative AI and agents
    • Choose an appropriate model for each task, including large language models (LLMs), small language models, multimodal models, and Foundry Tools
    • Choose the appropriate Foundry services for generative tasks, grounding, vector search, agent workflows, or multimodal processing
    • Choose an appropriate method for retrieval and indexing
    • Choose appropriate memory, tool, and knowledge integration services for agent solutions
  2. 1.2Set up AI solutions in Foundry
    • Design Azure infrastructure for AI apps and agent-based solutions
    • Choose appropriate deployment options
    • Configure model and agent deployments
    • Integrate Foundry projects with continuous integration and continuous deployment (CI/CD) pipelines
  3. 1.3Manage, monitor, and secure AI systems
    • Manage quotas, scaling, rate limits, and cost footprints for model and agent workloads
    • Monitor model performance, drift, safety events, and grounding quality
    • Monitor data ingestion quality, search index health, and relevance performance
    • Configure security, including managed identity, private networking, keyless credentials, and role policies
  4. 1.4Implement responsible AI across generative AI and agentic systems
    • Configure safety filters, guardrails, risk detection, and content moderation
    • Apply responsible AI instrumentation, including evaluators, safety evaluations, and explanation tooling
    • Implement auditing through trace logging, provenance metadata, and approval workflows
    • Govern agent behavior with oversight modes, constraints, and tool-access controls

Outline reproduced from the vendor's public exam guide for study reference.Official guide

AI-103 practice — frequently asked questions

Are these real AI-103 exam questions?

No. Every question on CertifyCloudx is original, written by us against Microsoft Azure's publicly available AI-103 exam guide to rehearse the skills it lists. None are actual exam questions, and CertifyCloudx is not affiliated with or endorsed by Microsoft Azure.

How many AI-103 practice questions are there?

512 practice questions, including 3 full-length timed mock exams and 50 domain papers of up to 25 questions (mixed and by topic). Every question has a detailed explanation of why the right answer wins and why each distractor loses.

Is the content up to date with the current AI-103 exam guide?

The questions are written against the AI-103 exam guide dated April 16, 2026, and we revise them when Microsoft Azure updates the guide.

What question formats are covered?

The same formats the real AI-103 uses: Multiple choice, Multiple response, Yes / No, Yes / No statements, Drag and drop, Hot area, case study. Each is rendered and graded the way the exam does it.

How long is the AI-103 exam and how many questions does it have?

According to Microsoft Azure's published exam details: 40–60 questions, 100 minutes, passing score 700 / 1000. Our mock exams use the same time limit, with a question count in the middle of that range. Always confirm current details with Microsoft Azure before booking.

Can I practise AI-103 for free?

Yes. 3 papers are free, with up to 10 questions a day on the free plan and no card needed. Pro unlocks every paper and mock exam with no daily limit.

Does CertifyCloudx guarantee that I will pass?

No practice material can guarantee a result. CertifyCloudx helps you find and close your weak areas — accuracy by exam-guide domain and topic shows what to study next.