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 |
| Exam Number: | AI-103 |
| Passing Score: | 700 / 1000 |
| Exam Duration: | 100 minutes |
| Available Languages: | Japanese, Portuguese (Brazil), German, Chinese (Simplified), Spanish, French, Korean, English |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate (retiring June 30, 2026) |
| Real Exam Qty: | 50–60 |
| Exam Format: | Scenario-based, Multiple choice, Performance-based items, Case study |
| Exam Price: | $165 USD (varies by country/region) |
| Certificate Validity Period: | 1 year (renewable annually via free online assessment) |
| Recommended Training: | Azure AI Foundry Documentation Microsoft Learn: Develop AI Apps and Agents on Azure |
| Exam Registration: | Microsoft Certification Dashboard Pearson VUE Registration |
| 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 |
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement computer vision solutions | 10–15% | - Implement image analysis and processing
|
| Topic 2: Plan and manage Azure AI solutions | 25–30% | - Design Azure AI infrastructure
|
| Topic 3: Implement text and speech analysis solutions | 10–15% | - Implement speech capabilities
|
| Topic 4: Implement generative AI and agentic solutions | 30–35% | - Build generative AI applications
|
| Topic 5: Implement information extraction and knowledge mining | 10–15% | - Build knowledge bases and search solutions
|
Question 1
Hotspot Question
You have a Microsoft Foundry project that contains an internal Q&A agent.
Users report the following issues when they ask the agent questions:
- An increase in the following response: "No relevant information
found"
- Periodic HTTP 429 rate limit exceeded errors during peak hours
You need to identify whether each issue is caused by model unavailability, resource limits, or inference failures.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Question 2
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 all the files that can be uploaded to the service?
A. 10 GB
B. 1 TB
C. 100 GB
D. 1 GB
Question 3
You have a Microsoft Foundry project that contains a support-ticket triage agent built by using the Foundry Agent Service.
The agent uses tool to classify the ticket type and sot the ticket priority.
Sometimes, the same support case continues across multiple sessions over several days.
You need to persist state by using a durable ID to ensure that the agent can automatically reuse the full interaction history. The solution must preserve previous user messages, tool calls and tool outputs across turns and sessions.
Which runtime component should you use?
A. response
B. agent
C. conversation
D. output item
Question 4
Drag and Drop Question
You have a Microsoft Foundry project that contains an agent.
You need to enable long-term memory to ensure that the agent can recall user preferences across separate conversations. Stored memories must be isolated per authenticated user without the client application manually generating user IDs.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Question 5
Hotspot Question
You have a Microsoft Foundry project that contains two agents named PolicyWriter and RskReviewer.
PolicyWriter generates daft updates for customer polices, and RiskReviewer reviews the drafts.
In the visual builder, you need to create a workflow that meets the following requirements:
- Finalizes low-risk updates without manual intervention
- Ensures predictable execution across the agents
- Requires user approval for highs updates
What should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each comet selection is worth one point.
Solutions:
| Question 1 Answer: Only visible for members | Question 2 Answer: C | Question 3 Answer: C | Question 4 Answer: Only visible for members | Question 5 Answer: Only visible for members |
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