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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement text and speech analysis solutions | 10–15% | - Implement natural language processing
|
| Plan and manage Azure AI solutions | 25–30% | - Manage AI solution development lifecycle
|
| Implement information extraction and knowledge mining | 10–15% | - Build knowledge bases and search solutions
|
| Implement computer vision solutions | 10–15% | - Implement image analysis and processing
|
| Implement generative AI and agentic solutions | 30–35% | - Design and implement intelligent agents
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
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 run an evaluation flow that scores responses for completeness and blocks responses that fall below a defined threshold.
Does this meet the goal?
- A. Yes
- B. No
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
You are building a web app named App1 that generates responses by using a model deployed to a Microsoft Foundry project named Project1.
Before sending the prompts to the model, App1 must retrieve documents by using Azure AI Search.
You need to integrate Project1 and App1. The solution must meet the following requirements:
- Multiple client applications must use the same search configuration.
- A security policy must prevent key-based authentication.
- Administrative effort must be minimized.
What should you do?
- A. Configure an Azure AI Search connection in Project1 and reference the connection in each application.
- B. Create a custom HTTP connection in Foundry and manually configure Azure AI Search endpoints per application.
- C. Call Azure AI Search directly from each application by using Microsoft Entra authentication.
- D. Enable a managed identity for each application and call Azure AI Search directly.
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
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.
You have a Microsoft Foundry project that contains an agent.
The agent uses Azure AI Search for Retrieval Augmented Generation (RAG).
You plan to ingest and index PDF product manuals.
You need to build a solution that supports semantic similarity matching. The solution must ensure that the agent retrieves relevant data when user questions use different wording than the product manuals.
Which indexing approach should you use?
- A. semantic ranking
- B. analyzers
- C. vector search
- D. suggesters
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
An agent must call your organisation's internal inventory system, which is exposed as a set of tools. You want the tool definitions maintained centrally and reusable across several agents rather than redefined in each agent. Which Foundry capability fits?
- A. Enable the code interpreter tool
- B. Fine-tune the model on the inventory system's API schema
- C. Increase the model's context window
- D. Add a Model Context Protocol (MCP) server as an agent tool
Explanation: Only visible for LatestCram members. You can sign-up / login (it's free).
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