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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
Passing Score:700 / 1000
Certificate Validity Period:1 year (renewable annually via free online assessment)
Exam Price:$165 USD (varies by country/region)
Exam Duration:100 minutes
Available Languages:French, Portuguese (Brazil), Japanese, English, Spanish, Korean, Chinese (Simplified), German
Related Certifications:Microsoft Certified: Azure AI Engineer Associate (retiring June 30, 2026)
Exam Format:Performance-based items, Multiple choice, Case study, Scenario-based
Real Exam Qty:50–60
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: DOWNLOAD DEMO
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 text and speech analysis solutions10–15%- Implement speech capabilities
  • 1. Speech-to-text and text-to-speech integration
  • 2. Speech translation and speaker recognition
- Implement natural language processing
  • 1. Build conversational language understanding
  • 2. Perform sentiment analysis, entity recognition, and summarization
  • 3. Use Azure AI Language services
Topic 2: Plan and manage Azure AI solutions25–30%- Manage AI solution development lifecycle
  • 1. Integrate with CI/CD pipelines
  • 2. Monitor and maintain AI workloads
  • 3. Configure model and agent deployments
- Design Azure AI infrastructure
  • 1. Design for scalability, availability, and cost optimization
  • 2. Select appropriate Azure AI Foundry services
  • 3. Plan for security, compliance, and responsible AI
Topic 3: Implement information extraction and knowledge mining10–15%- Build knowledge bases and search solutions
  • 1. Design knowledge mining pipelines
  • 2. Create and manage vector indexes
  • 3. Implement Azure AI Search
- Extract structured data from documents
  • 1. Process forms, invoices, and unstructured content
  • 2. Use Azure AI Document Intelligence
Topic 4: Implement generative AI and agentic solutions30–35%- 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
- Design and implement intelligent agents
  • 1. Manage state, memory, and context
  • 2. Implement multi-agent workflows and orchestration
  • 3. Select agent architecture patterns
  • 4. Integrate agents with external systems and data sources
Topic 5: Implement computer vision solutions10–15%- Build multimodal solutions
  • 1. Process and analyze video content
  • 2. Combine vision and language capabilities
- Implement image analysis and processing
  • 1. Extract text and structure from images
  • 2. Implement object detection and image classification
  • 3. Use Azure AI Vision services

Common Questions About the Microsoft Developing AI Apps and Agents on Azure Exam

The Microsoft Developing AI Apps and Agents on Azure (exam code AI-103) is the exam you pass to earn the Microsoft Certified: Azure AI Apps and Agents Developer Associate certification, a credential at the Associate level. It is also connected with related credentials such as Microsoft Certified: Azure AI Engineer Associate (retiring June 30, 2026). If you are mapping out a certification path with Microsoft, this exam is a milestone worth planning around.

The AI-103 exam includes 50–60 questions, and you have 100 minutes to complete them. With that many questions on the clock, pacing is part of the challenge: divide your time into rough blocks as you go, and flag the items that stall you so you can circle back at the end instead of burning minutes on a single question. A week or two before your exam date, sit at least one full timed session in the 2Pass4sure test engine under the same time limit, so the pace feels familiar rather than frantic on the day.

You need 700 / 1000 to pass the AI-103 exam, and the official registration fee is $165 USD (varies by country/region). That fee is due again in full for every retake, which makes thorough preparation the cheaper investment by far. Before you book your seat, test yourself with the 2Pass4sure practice questions until you are scoring comfortably above the passing mark on a consistent basis — it is the simplest way to avoid paying for the same exam twice.

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

Eligibility rules can be adjusted by Microsoft over time, so before you register, confirm the current requirements on the official exam page: view the official AI-103 exam information.

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

How the exam is taken: Online proctored or onsite at Pearson VUE test centers.

Microsoft lists the following official training options for candidates preparing for this exam:

Once you have worked through the training, measure your readiness with the 159 practice questions from 2Pass4sure — they show you exactly which topics still need attention before you book the exam.

Yes. 2Pass4sure offers a free PDF demo of the AI-103 practice questions, so you can judge the quality of the material firsthand before paying anything. Every purchase also includes 365 days of free updates — if Microsoft changes the exam during that year, your material changes with it. And when the free update period expires, you can extend it at a 50% discount from within your member zone.

Every AI-103 purchase at 2Pass4sure is backed by a 100% Money Back Guarantee: if you take the corresponding exam within 60 days of your purchase and do not pass, you can apply for a full refund. The guarantee has clear conditions — it does not apply if you sit the exam within 3 days of purchase, if you downloaded the material but never actually took the exam, or to free materials and expired orders, and the candidate name must match the payer name. To file a claim, send a scan of your exam enrollment slip together with your official Score Report PDF within 2 days of the exam; claims are processed within 7 days. If you would rather not take a refund, you can exchange the product instead and receive two additional exam preparation products of equal value for free, while your original product keeps its update service. Delivery itself is instant: your material is available for download right after payment and is also sent to your email within one minute — if it has not arrived within 2 hours, contact our customer service. There is no limit on how many computers you can install it on.

The official Microsoft Developing AI Apps and Agents on Azure outline divides the exam content into 5 main domains. The first three are:

  • Implement computer vision solutions — 10–15%
  • Implement generative AI and agentic solutions — 30–35%
  • Plan and manage Azure AI solutions — 25–30%

That is only the headline view — scroll back up to the Exam Topics section on this page for the complete domain-by-domain breakdown before you plan your study schedule.

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

Question 1

You have a Microsoft Foundry project that contains an agent.
The knowledge source for the agent is a set of scanned PDF troubleshooting guides stored in Azure Blob Storage. The guide pages contain two-column layouts and tables.
You use Azure Content Understanding in Foundry Tools to process the PDFs.
You plan to ingest the processed content into an index for Retrieval Augmented Generation (RAG) and store extracted fields for downstream automation.
Stakeholders must be able to verify where each extracted field value came from in the original PDF and route low-reliability extractions for manual review.
You need to ensure that the Content Understanding document analyzer output includes a per- field confidence score and source grounding to locations within the source document.
What should you do?

A. Set enableSegment to true.
B. Enable estimateFieldSourceAndConfidence.
C. Configure the analyzer to use generative extraction for all fields.
D. Provide labeled samples.


Question 2

A multimodal agent processes user-uploaded images. An attacker embeds hidden text instructions inside an image, hoping the agent will read and act on them. Which Azure AI Content Safety capability is designed to detect this kind of attack?

A. Prompt Shields, which detects document and indirect prompt injection
B. Raising the image resolution threshold on the analyser
C. Disabling the agent's file search tool
D. A content filter set to High severity for the Violence category


Question 3

You have a Microsoft Foundry project that contains an agent. The agent uses two tools to perform the following actions:
- Use Azure AI Search to retrieve answers from a private product
documentation index.
- Use the web search tool to retrieve public information on the
internet.
You need to ensure that for a specific run, the agent deterministically retrieves information only from the internet.
To what should you set tool_choice?

A. "auto"
B. {"type": "azure_ai-search"}
C. "required"
D. {"type": "bing_grouding"}


Question 4

You have a Microsoft Foundry project that contains an agent and uses a GitHub repository. The repository contains a YAM file named File1 that defines the evaluation settings of the agent. You need to create a GitHub Actions workflow that runs the evaluation defined in File1 when a pull request (PR) is opened. How should you configure the workflow?

A. Set tenant-id to the Microsoft Entra tenant ID
B. Set evaluation-config to the path of the YAML file.
C. Set project-endpoint to the endpoint of the project.
D. Set model-deployment-name to the deployed model.


Question 5

You build a chatbot that uses the Azure OpenAI GPT-4 model to generate song lyrics.
You need to ensure that responses do NOT contain lyrics from popular songs that might have been ingested during model training.
Which Azure AI Content Safety API should you use?

A. Analyze Text
B. Custom categories
C. Protected material text detection
D. Groundedness detection


Solutions:

Question 1
Answer: B
Question 2
Answer: A
Question 3
Answer: D
Question 4
Answer: C
Question 5
Answer: C

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