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Microsoft AI-103 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure AI |
| Exam Number: | AI-103 |
| Certificate Validity Period: | 1 year (renewable via Microsoft Learn assessment) |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure AI Fundamentals |
| Real Exam Qty: | 40-60 |
| Available Languages: | English |
| Exam Price: | USD 165 (may vary by region) |
| Passing Score: | 700/1000 |
| Exam Duration: | 120-180 |
| Exam Format: | Drag and drop, Case studies, Multiple response, Multiple choice, Scenario-based questions |
| Recommended Training: | Azure OpenAI Service Documentation Microsoft Learn - Azure AI Engineer Learning Path |
| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Microsoft Exams |
| Sample Questions: |  |
| 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 | - Azure AI Search configuration - RAG (Retrieval Augmented Generation) patterns - Indexing and semantic search |
| Implement Natural Language Processing Solutions | - Language understanding and intent recognition - Translation and multilingual support - Text analytics and summarization |
| Implement Computer Vision Solutions | - Image classification and object detection - OCR and document intelligence |
| Plan and Manage Azure AI Solutions | - Responsible AI principles and governance - Azure AI resource provisioning and configuration - Model selection and lifecycle management |
| Develop Generative AI Applications and Agents | - Azure OpenAI Service integration
|
AI-103 Exam FAQ: Before You Book Your Seat
Microsoft Developing AI Apps and Agents on Azure is an official Microsoft exam, listed under exam code AI-103. A passing result earns you the Microsoft Certified: Azure AI Engineer Associate certification at the Professional level. It also ties into Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure AI Fundamentals, Microsoft Certified: Azure Developer Associate, extending its value across your certification roadmap. Employers read this credential as verified competence, which is why it keeps appearing in job requirements.
Expect 40-60 questions inside 120-180 on the Microsoft Developing AI Apps and Agents on Azure exam. That pace punishes hesitation, so rehearse it: the ActualPDF software engine simulates the real exam scene, reminds you of the questions you got wrong, and pushes you to re-practice them until the clock stops being your enemy.
Passing Microsoft Developing AI Apps and Agents on Azure requires 700/1000, and the official registration fee is USD 165 (may vary by region). Retakes charge the full USD 165 (may vary by region) again, which is why experienced candidates treat preparation as the cheaper exam fee. Verify your readiness with repeated ActualPDF practice scores above the requirement before you commit to a date.
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 evolve, so confirm the current conditions before registering on the official exam page.
Registration for Microsoft Developing AI Apps and Agents on Azure goes through the official channels listed here.
When you schedule, note that the exam is delivered Online proctored exam or authorized test center.
Microsoft recommends the following training for Microsoft Developing AI Apps and Agents on Azure candidates.
Follow any course with the 159 practice questions in the ActualPDF AI-103 package; the software engine will even remind you which mistakes need another round.
Yes. ActualPDF provides a free download demo of the Microsoft Developing AI Apps and Agents on Azure material, so you can check the content before choosing a version. After purchase, a one-year warranty covers you: the latest version is sent to you as it releases, free for 365 days, and after expiry you can extend the update service at a 50% discount.
Your purchase is covered by a 100% money-back guarantee with clear conditions. Take the Microsoft Developing AI Apps and Agents on Azure exam within 60 days of purchase; if you fail, provide your unqualified result by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, and the full refund is processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are not covered. Alternatively, exchange for two other exam products of equal value, free, or wait for updates while keeping your original product's update service.
Delivery is instant: files unlock for download at payment and are emailed within one minute. If nothing arrives within 2 hours, check spam and contact customer service, which works 7/24 and normally replies within two hours. Installation is unlimited across your computers.
The Microsoft Developing AI Apps and Agents on Azure syllabus spans 5 domains, led by Implement Natural Language Processing Solutions, Develop Generative AI Applications and Agents, and Implement Computer Vision Solutions. The complete topic list is published above; candidates who study the map first rarely get lost later.
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
Question 1
You have a factory that contains a production line.
You need to develop a solution that will analyze a video feed to detect and track the movement of employees as they work on the production line.
Which service should you include in the solution?
A. Azure Vision in Foundry Tools Spatial Analysis
B. Azure Vision in Foundry Tools Image Analysis
C. Azure AI Video Indexer
D. Azure AI Face
Question 2
You are defining an agent in Microsoft Foundry Agent Service. The agent uses a catalogue model for reasoning, a system instruction that sets its goals, and a file search capability that reads a knowledge store. Which three components does this combination represent?
A. Trigger, action, condition
B. Embedding, retriever, generator
C. Endpoint, API key, deployment name
D. Model, instructions, tools
Question 3
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 Microsoft Foundry project that contains an agent. The agent generates summaries from retrieved policy documents.
Users report that some responses omit required regulatory clauses, even when the clauses are present in the retrieved content.
You need to improve response completeness.
Solution: You add a reflection pass that regenerates the response if the required clauses are missing.
Does this meet the goal?
A. No
B. Yes
Question 4
Drag and Drop Question
You have a Microsoft Foundry project that contains a customer support agent grounded in internal documentation.
After a recent update, users report the following issues:
- Some answers are unsupported by retrieved documents.
- A small number of responses are flagged for policy violations.
You need to evaluate each issue.
Which observability signals should you use for each issue? To answer, drag the appropriate observability signals to the correct issues. Each observability signal may be used once, more than once, or not at all. You may need to drag the spit bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Question 5
You have a Microsoft Foundry project that contains an agent.
The agent uses Azure Content Understanding in Foundry Too to process vendor onboarding packets. The packs include digital PDFs that contain tables and hyperlinks.
The extracted content is indexed for search and provided to a downstream agent in the Markdown format.
You need to generate a Markdown output that has a layout and a semantic structure optimized for Retrieval Augmented Generation (RAG) workflows.
Which built-in analyzer should you use?
A. prebuilt-documentSearch
B. prebuilt-documentFieldSchema
C. prebuilt-read
D. prebuilt-layout
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: Only visible for members | Question 5 Answer: A |
