Failing the Microsoft Developing AI Apps and Agents on Azure exam in 2026 does not just cost time β it means paying the full registration fee a second time. Drilling the 159 practice questions from PracticeVCE before you sit the AI-103 exam is the cheapest insurance available.
Microsoft AI-103 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure AI |
| Exam Number: | AI-103 |
| Related Certifications: | Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure AI Fundamentals |
| Certificate Validity Period: | 1 year (renewable via Microsoft Learn assessment) |
| Passing Score: | 700/1000 |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Exam Format: | Drag and drop, Scenario-based questions, Multiple response, Multiple choice, Case studies |
| Exam Duration: | 120-180 |
| Exam Price: | USD 165 (may vary by region) |
| Recommended Training: | Microsoft Learn - Azure AI Engineer Learning Path Azure OpenAI Service Documentation |
| Exam Registration: | Pearson VUE Microsoft Exams Microsoft Certification Dashboard |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored exam or authorized test center |
| Pre Condition: | Recommended: experience with Azure services, Python or C#, and basic machine learning concepts. Prior knowledge of Azure AI-102 or equivalent is helpful but not mandatory. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ |
Microsoft AI-103 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Knowledge Mining and Information Retrieval | - RAG (Retrieval Augmented Generation) patterns - Indexing and semantic search - Azure AI Search configuration |
| Plan and Manage Azure AI Solutions | - Azure AI resource provisioning and configuration - Model selection and lifecycle management - Responsible AI principles and governance |
| Implement Computer Vision Solutions | - OCR and document intelligence - Image classification and object detection |
| Develop Generative AI Applications and Agents | - Azure OpenAI Service integration
|
| Implement Natural Language Processing Solutions | - Translation and multilingual support - Text analytics and summarization - Language understanding and intent recognition |
Microsoft AI-103 Exam β Your Questions, Answered
The AI-103 exam, officially titled Developing AI Apps and Agents on Azure, is the Microsoft exam you pass to earn the Microsoft Certified: Azure AI Engineer Associate certification, a credential at the Professional level. Passing it confirms the skills defined in the official exam outline, and it is associated with related credentials such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure AI Fundamentals, Microsoft Certified: Azure Developer Associate.
The AI-103 exam includes 40-60 questions and gives you 120-180 to finish them. That is a tight pace per question, so get used to reading each stem once, flagging anything uncertain, and moving on rather than getting stuck. Running timed practice tests in the PracticeVCE desktop or online test engine is the most reliable way to build that rhythm before exam day.
The passing score for the AI-103 exam is 700/1000, and the official registration fee is USD 165 (may vary by region). Keep in mind that a failed attempt means paying USD 165 (may vary by region) again in full to retake it, so book your slot only when your scores on PracticeVCE practice tests sit consistently above the passing line.
Microsoft lists the following prerequisites or eligibility notes for the AI-103 exam: Recommended: experience with Azure services, Python or C#, and basic machine learning concepts. Prior knowledge of Azure AI-102 or equivalent is helpful but not mandatory.. Requirements can change over time, so confirm the details on the official exam page at Microsoft's official site before you register.
You can register for the AI-103 exam through the official channels below:
The exam is delivered in the following format: Online proctored exam or authorized test center. Choose a date that leaves you enough time to work through the full 159-question practice set first.
Microsoft recommends the following training resources for AI-103 candidates:
Official courses build the theory, and the 159 practice questions from PracticeVCE help you turn that theory into exam-ready speed and accuracy.
Yes. PracticeVCE offers a free PDF demo of the AI-103 material, so you can check the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates, and if your product expires you can extend the update service at a 50% discount from your member zone.
Your purchase is protected by a 100% Money Back Guarantee with clear conditions: if you take the corresponding AI-103 exam within 60 days of purchase and do not pass, you can apply for a full refund. The candidate name must match the payer name, and you need to submit a scanned exam enrollment slip together with the official Score Report PDF within 2 days of taking the exam; claims are processed within 7 days. Sitting the exam within 3 days of purchase, downloading without taking the exam, free materials, and expired orders are not covered. If you would rather not take a refund, you can exchange your order for two free exam products of equal value and keep the update service on your original purchase.
Delivery is instant: your download links are emailed within one minute of payment, and you can also download directly from the website. If nothing arrives within 2 hours, contact customer service and check your spam folder. There is no limit on how many computers you can install the material on.
The AI-103 exam blueprint is divided into 5 domains, starting with Implement Natural Language Processing Solutions; Plan and Manage Azure AI Solutions; Develop Generative AI Applications and Agents. For the complete domain-by-domain breakdown, see the Exam Topics section above β it lists every topic the current outline covers.
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Hotspot Question
You have a Microsoft Foundry project that contains a deployed chat model.
You have a Python service that sends API requests to the model. The service is integrated with an automated validation system that compares generated outputs against approved response patterns.
Stakeholders report that small wording differences are causing validation mismatches.
You need to update the request parameters to improve output stability. The solution must maximize reasoning quality.
How should you complete the Python code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Hotspot Question
You develop a test method to verify the results retrieved from a call to the Azure Vision in Foundry Tools API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Box 1: Yes
The code segment correctly filters for and displays the name (and coordinates) of each detected brand only if the model's confidence score is 75 percent or higher.The expression if brand.confidence >= 0.75 guarantees that only brands meeting or exceeding this threshold are printed.
Box 2: Yes
The code segment will display the coordinates. Specifically, it prints the x and y values of the rectangle's top-left corner alongside its width (w) and height (h) for any detected brand with a confidence score equal to or greater than 0.75 (75%).
The provided code uses the properties directly to extract the bounding box:
brand.rectangle.x and brand.rectangle.y: The coordinates of the top-left corner of the bounding box.
brand.rectangle.w and brand.rectangle.h: The width and height of the bounding box.
Box 3: No
See Box 2 above.
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/computer-vision/concept-brand-detection
You have a Microsoft Foundry project.
You plan to build a customer support solution that contains an agent. The solution must meet the following requirements:
- Provide accurate, context-aware responses grounded in internal
product documentation stored in Azure AI Search.
- Require deep, multi-step reasoning across long contexts.
- Generate detailed natural language responses.
Which type of model should you use to power the agent?
- A. a large language model (LLM)
- B. a small language model (SLM)
- C. a multimodal model
- D. a key phrase extraction model
Correct Answer: A π³οΈ
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
You plan to configure an evaluation in Microsoft Foundry for a Retrieval Augmented Generation (RAG) chat app.
You need to provide scores for groundedness, relevance, and harmful content categories.
Which two evaluation categories can you use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
- A. similarity evaluators
- B. AI quality (AI assisted) metrics
- C. AI quality (NLP) metrics
- D. risk and safety metrics
- E. fluency evaluator
Correct Answer: B,D π³οΈ
Explanation: Only visible for PracticeVCE members. You can sign-up / login (it's free).
Hotspot Question
You have a Microsoft Foundry project that contains an agent named PaymentAgent.
PaymentAgent includes a function tool that issues customer refunds by using an external API.
You are creating a workflow in YAML.
You need to ensure that the workflow pauses for human approval and continues with the refund step only after approval is granted.
How should you complete the workflow definition? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
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