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Microsoft AI-103 Exam Overview:

Certification Vendor:Microsoft
Exam Name:Developing AI Apps and Agents on Azure
Exam Number:AI-103
Exam Price:$165 USD (varies by country/region)
Exam Format:Case study, Scenario-based, Performance-based items, Multiple choice
Related Certifications:Microsoft Certified: Azure AI Engineer Associate (retiring June 30, 2026)
Exam Duration:100 minutes
Passing Score:700 / 1000
Real Exam Qty:50–60
Certificate Validity Period:1 year (renewable annually via free online assessment)
Available Languages:Japanese, French, German, Chinese (Simplified), Spanish, Portuguese (Brazil), English, Korean
Recommended Training:Microsoft Learn: Develop AI Apps and Agents on Azure
Azure AI Foundry Documentation
Exam Registration:Pearson VUE Registration
Microsoft Certification Dashboard
Sample Questions:Microsoft AI-103 Sample Questions
Exam Way:Online proctored or onsite at Pearson VUE test centers
Pre Condition:No mandatory prerequisites; recommended experience: 6+ months building AI applications, proficiency in Python or C#, familiarity with Azure services and AI concepts
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-103

Microsoft AI-103 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Implement computer vision solutions10–15%- Implement image analysis and processing
  • 1. Use Azure AI Vision services
  • 2. Extract text and structure from images
  • 3. Implement object detection and image classification
- Build multimodal solutions
  • 1. Process and analyze video content
  • 2. Combine vision and language capabilities
Topic 2: Implement information extraction and knowledge mining10–15%- Build knowledge bases and search solutions
  • 1. Implement Azure AI Search
  • 2. Create and manage vector indexes
  • 3. Design knowledge mining pipelines
- Extract structured data from documents
  • 1. Process forms, invoices, and unstructured content
  • 2. Use Azure AI Document Intelligence
Topic 3: Implement text and speech analysis solutions10–15%- Implement speech capabilities
  • 1. Speech translation and speaker recognition
  • 2. Speech-to-text and text-to-speech integration
- Implement natural language processing
  • 1. Use Azure AI Language services
  • 2. Perform sentiment analysis, entity recognition, and summarization
  • 3. Build conversational language understanding
Topic 4: Plan and manage Azure AI solutions25–30%- Design Azure AI infrastructure
  • 1. Select appropriate Azure AI Foundry services
  • 2. Plan for security, compliance, and responsible AI
  • 3. Design for scalability, availability, and cost optimization
- Manage AI solution development lifecycle
  • 1. Monitor and maintain AI workloads
  • 2. Integrate with CI/CD pipelines
  • 3. Configure model and agent deployments
Topic 5: Implement generative AI and agentic solutions30–35%- Design and implement intelligent agents
  • 1. Integrate agents with external systems and data sources
  • 2. Implement multi-agent workflows and orchestration
  • 3. Select agent architecture patterns
  • 4. Manage state, memory, and context
- Build generative AI applications
  • 1. Implement prompt engineering and optimization
  • 2. Integrate Azure OpenAI and other models
  • 3. Implement function calling and tool use
  • 4. Build retrieval-augmented generation (RAG) solutions

Common Questions About the Microsoft AI-103 Exam

The AI-103 exam is the official exam behind the Microsoft Certified: Azure AI Apps and Agents Developer Associate credential from Microsoft. It sits at the Associate level of the Microsoft certification track. It is also associated with Microsoft Certified: Azure AI Engineer Associate (retiring June 30, 2026). The FreeCram practice questions on this page map to the same objectives, so you can measure your readiness before you book a seat.

The AI-103 exam contains 50–60 questions and gives you 100 minutes to complete them. That pace leaves little room for getting stuck, so train yourself to flag a hard question, move on, and circle back later. Run at least one full timed session in the FreeCram test engine a week before your exam date to check whether your pacing holds under pressure.

You need 700 / 1000 to pass the AI-103 exam, and the official registration fee is $165 USD (varies by country/region). A retake means paying that fee again in full, which makes thorough preparation the cheaper option by far. Before scheduling, take a timed FreeCram practice test; if you are not scoring comfortably above the passing line, give yourself more study time instead of booking on hope.

No mandatory prerequisites; recommended experience: 6+ months building AI applications, proficiency in Python or C#, familiarity with Azure services and AI concepts

Requirements can change, so confirm the latest details on the official Microsoft exam page before you register.

You can book the AI-103 exam through the following official channels:

The exam is delivered Online proctored or onsite at Pearson VUE test centers, so pick the option that suits you when booking.

Microsoft points candidates to these official courses:

Once you have worked through the official material, wrap up your preparation with the 159 practice questions from FreeCram to lock in what you have learned.

Yes. A free AI-103 PDF demo is available, so you can check the question style and answer quality before you commit. Every purchase also includes 365 days of free updates, and if your product expires after that, you can extend the update service at a 50% discount from your member zone.

Your purchase is protected by our 100% Money Back Guarantee. If you take the AI-103 exam within 60 days of purchase and do not pass, send us a scanned enrollment slip and your official Score Report PDF within two days of the exam; approved refunds are processed within seven days. The candidate name must match the payer name, and the guarantee does not apply to exams taken within three days of purchase, to products that were downloaded but never used in an exam sitting, or to free materials and expired orders. If you would rather keep studying, we can instead exchange your order for two free exam products of equal value while your original product keeps its update service. Delivery itself is instant: your download is emailed within one minute of payment and stays available in your member zone, with no limit on how many computers you can install it on. If nothing arrives within two hours, contact our customer service team.

The AI-103 syllabus is divided into 5 domains, including Plan and manage Azure AI solutions (25–30%), Implement information extraction and knowledge mining (10–15%), and Implement computer vision solutions (10–15%). The complete breakdown, with every domain and its subtopics, is listed in the Exam Topics section above — review it line by line and flag the areas where you feel weakest.

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

You have a Microsoft Foundry project that ingests scanned PDF invoices stored in Azure Blob Storage. Each invoice contains printed fine items and has a table-based layout.
Extracted results are stored as structured JSON and used as grounding data for an agent in a Retrieval Augmented Generation (RAG) solution.
You need to create a single analyzer that meets the following requirements:
- Extracts the invoice number, invoice date, vendor name, and total
amount across varying templates
- Returns confidence scores so that results with confidence below 0.80
can be routed for supervisor review
What should you use?

  • A. a Foundry agent that has groundedness guardrails enabled to extract invoice fields and confidence scores
  • B. the Azure Content Understanding in Foundry Tools prebuilt-layout analyzer
  • C. the Azure Content Understanding in Foundry Tools prebuilt-documentSearch analyzer and search.score from the Azure AI Search results for routing
  • D. a custom Azure Content Understanding in Foundry Tools analyzer that defines the required fields as the extracted fields and the returned confidence scores for routing
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
You have a multimodal AI generative model that accepts image uploads and uses extracted image text to generate responses.
You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model.
You need to implement controls to mitigate the risk.
Solution: You configure a prompt shield for documents.
Does this meet the goal?

  • A. No
  • B. Yes
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

You have a customer support agent that uses the Microsoft Foundry Agent Service.
Sometimes, customers return to a session days later to continue the same support case, and the agent must resume with the full historical context. The agent must provide the following:
- Multi-turn continuity within the session
- Cross-session continuity for the same case
- Access to the full interaction history, including user messages,
agent messages, tool calls, and tool outputs
You need to ensure that the agent automatically reloads the complete history on each new turn.
What should you do?

  • A. Create and reuse a conversation by storing the conversation's ID and supplying the ID on subsequent requests.
  • B. Enable memory summarization on the agent definition to persist the context automatically.
  • C. Persist only the final model response stored in the client application and prepend the response to future prompts.
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

A production application authenticates to Microsoft Foundry using an API key stored in an environment variable. Your security team requires that you remove hardcoded secrets and enable per-principal auditing of every call. Which approach meets both requirements?

  • A. Share a single API key across services and restrict it with IP allow-listing
  • B. Move the API key into Azure Key Vault and rotate it monthly
  • C. Embed the API key in the deployment pipeline as a masked variable
  • D. Authenticate with Microsoft Entra ID using a managed identity (keyless)
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

You have a Microsoft Foundry project that contains an agent for a customer support chat app.
The agent uses a memory store and a memory search tool.
You need to ensure that the conversation history does NOT persist across separate sessions.
To what should you set the scope of the memory tool?

  • A. global
  • B. {{$conversationId}}
  • C. {{$userId}}
  • D. session
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

Explanation: Only visible for FreeCram members. You can sign-up / login (it's free).

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