Last Updated: Sep 01, 2026
No. of Questions: 159 Questions & Answers with Testing Engine
Download Limit: Unlimited
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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Apps and Agents on Azure AI |
| Exam Number: | AI-103 |
| Related Certifications: | Microsoft Certified: Azure AI Fundamentals Microsoft Certified: Azure Developer Associate Microsoft Certified: Azure AI Engineer Associate |
| Real Exam Qty: | 40-60 |
| Exam Format: | Multiple response, Scenario-based questions, Drag and drop, Multiple choice, Case studies |
| Certificate Validity Period: | 1 year (renewable via Microsoft Learn assessment) |
| Passing Score: | 700/1000 |
| Exam Duration: | 120-180 |
| Exam Price: | USD 165 (may vary by region) |
| Available Languages: | English |
| 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/ |
| Section | Objectives |
|---|---|
| Topic 1: Implement Natural Language Processing Solutions | - Language understanding and intent recognition - Text analytics and summarization - Translation and multilingual support |
| Topic 2: Develop Generative AI Applications and Agents | - AI agents architecture
|
| Topic 3: Implement Computer Vision Solutions | - OCR and document intelligence - Image classification and object detection |
| Topic 4: Knowledge Mining and Information Retrieval | - RAG (Retrieval Augmented Generation) patterns - Azure AI Search configuration - Indexing and semantic search |
| Topic 5: Plan and Manage Azure AI Solutions | - Responsible AI principles and governance - Azure AI resource provisioning and configuration - Model selection and lifecycle management |
The Microsoft Developing AI Apps and Agents on Azure exam is the official Microsoft assessment behind the Microsoft Certified: Azure AI Engineer Associate credential, which sits at the Professional level. Passing it confirms that your skills meet the vendor's current requirements rather than a textbook outline. It also connects with related certifications such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure AI Fundamentals, Microsoft Certified: Azure Developer Associate, so it can anchor a broader certification path.
According to the official exam information, the Microsoft Developing AI Apps and Agents on Azure exam includes 40-60 questions and gives you 120-180 to complete them. Treat that as a pacing exercise, not just a knowledge check: bank the questions you know first, flag the ones that stall you, and circle back instead of burning minutes on a single item. Before test day, run at least one full timed session in the Actual4Cert desktop or online test engine, so the clock never feels unfamiliar when it counts.
To pass the Microsoft Developing AI Apps and Agents on Azure exam you need 700/1000, and the official registration fee is USD 165 (may vary by region). Keep one thing in mind: a failed attempt is not discounted, so retaking the exam means paying USD 165 (may vary by region) again in full. A practical safeguard is to sit a complete Actual4Cert practice test a week or two before your exam date; if your timed scores are not sitting comfortably above the passing mark, consider pushing your booking back and drilling the weak domains first.
The official prerequisites for the Microsoft Developing AI Apps and Agents on Azure exam are as follows: 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 Microsoft exam page at https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-engineer/ before you book your seat.
You can register through the official channels listed below:
Exam delivery: Online proctored exam or authorized test center.
Microsoft points candidates toward the following official training options:
Official training builds the theory; the 159 practice questions from Actual4Cert show you how that theory appears in exam-style items, which is where most study plans actually pay off.
Yes. A free PDF demo of the Microsoft Developing AI Apps and Agents on Azure practice questions is available on the Actual4Cert samples page, so you can check the question style and difficulty before spending anything. Every purchase also includes 365 days of free updates, and if your product expires after that period, you can extend the update service from your member zone at 50% off.
If you take the AI-103 exam within 60 days of your purchase and do not pass, Actual4Cert offers a 100% money-back guarantee: send a scanned copy of your exam enrollment slip together with the official Score Report PDF within two days of your exam date, and the refund is 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 material that was downloaded without the exam actually being taken, or to free materials and expired orders. Prefer to keep studying instead? You can exchange your purchase for two additional exam products of equal value, free of charge, while keeping the update service on your original product. Delivery itself is instant: the download link is emailed within one minute of payment, and if nothing arrives within two hours, our support team will sort it out. There is no limit on how many computers you install the material on.
The Microsoft Developing AI Apps and Agents on Azure syllabus is organized into 5 domains. The leading areas include Plan and Manage Azure AI Solutions, Implement Natural Language Processing Solutions, and Knowledge Mining and Information Retrieval. For the complete, topic-by-topic breakdown, scroll up to the Exam Topics section above.
Question 1
You have an Azure AI Search indexer that ingests PDF policy manuals.
Client applications must display page-level citations that have bounding polygons for both text and images.
You need to add a single built-in multimodal content extraction skill to the Azure AI Search skillset. The solution must meet the following requirements:
- Provide text and image location metadata.
- Extract tables that span multiple pages.
What should you add?
A. GenAI Prompt
B. Azure Content Understanding in Foundry Tools
C. Document Extraction
D. Document Layout
Question 2
Hotspot Question
You have a Python application collects customer comments before posting them to a public forum.
You need to send a text comment to Azure AI Content Safety and return the self-harm severity from the response.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question 3
You have a custom named entity recognition (NER) project in Azure Language in Foundry Tools for support tickets. The schema for the project contains an entity type named ContactInfo.
In tagged training files, ContactInfo is used for phone numbers, email addresses, and social media handles.
Model evaluation shows low precision for ContactInfo, including false positives in which nearby text is extracted as ContactInfo.
You need to improve the precision of the project.
What should you do before retraining the model?
A. Replace ContactInfo by using Phone, Email, and SocialMedia entities. Relabel every matching span.
B. Add more support tickets as training data and label more ContactInfo entities.
C. Trigger an auto-labeling job.
D. Lower the confidence threshold for ContactInfo.
Question 4
You plan to build an agent that will combine and process multiple files uploaded by users.
You are evaluating whether to use the Azure AI Agent Service to develop the agent.
What is the maximum size of each file that can be uploaded to the service?
A. 10 MB
B. 256 MB
C. 512 MB
D. 1 GB
Question 5
A developer needs a managed identity to call a Microsoft Foundry project endpoint to run inference and use agents. Security policy requires the least-privilege role that grants data-plane access and nothing more. Which built-in role should you assign to the managed identity?
A. Cognitive Services Contributor
B. Azure AI Developer
C. Foundry User
D. Foundry Account Owner
Solutions:
| Question 1 Answer: B | Question 2 Answer: Only visible for members | Question 3 Answer: A | Question 4 Answer: C | Question 5 Answer: C |
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