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Exam Code: AI-103
Exam Name: Developing AI Apps and Agents on Azure
Updated: Sep 03, 2026
Q & A: 159 Questions and Answers
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| Section | Objectives |
|---|---|
| Topic 1: Plan and Manage Azure AI Solutions | - Responsible AI principles and governance - Model selection and lifecycle management - Azure AI resource provisioning and configuration |
| Topic 2: Implement Computer Vision Solutions | - OCR and document intelligence - Image classification and object detection |
| Topic 3: Develop Generative AI Applications and Agents | - AI agents architecture
|
| Topic 4: Knowledge Mining and Information Retrieval | - Indexing and semantic search - RAG (Retrieval Augmented Generation) patterns - Azure AI Search configuration |
| Topic 5: Implement Natural Language Processing Solutions | - Translation and multilingual support - Language understanding and intent recognition - Text analytics and summarization |
Question 1
A production application authenticates to Microsoft Foundry using an API key stored in an environment variable. Your security team requires that you remove hardcoded secrets and enable per-principal auditing of every call. Which approach meets both requirements?
A. Authenticate with Microsoft Entra ID using a managed identity (keyless)
B. Move the API key into Azure Key Vault and rotate it monthly
C. Share a single API key across services and restrict it with IP allow-listing
D. Embed the API key in the deployment pipeline as a masked variable
Question 2
You have a custom agent named Agent1.
You need to control access to and monitor activity for Agent1 by using Microsoft Foundry.
What should you do first?
A. Create a Microsoft Foundry project.
B. Add Agent1 to the Microsoft Foundry playground.
C. Provision an Application Insights resource.
D. Add Agent1to a Microsoft Foundry project.
Question 3
Hotspot Question
You are building a model to detect objects in images.
The performance of the model based on training data is shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Question 4
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.
Question 5
You have an application that uses a prebuilt Azure Language model.
You need to generate a summary that meets the following requirements:
- Summarizes documents that contain multiple sentences
- Preserves the original sentence order
- Returns exactly three sentences
Which Language service feature should you use?
A. abstractive summarization
B. key phrase extraction
C. extractive summarization
D. sentiment analysis
Solutions:
| Question 1 Answer: A | Question 2 Answer: A | Question 3 Answer: Only visible for members | Question 4 Answer: Only visible for members | Question 5 Answer: C |
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