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Microsoft AI-103 Exam Syllabus Topics:

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. 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) Endpoint, API key, deployment name
B) Embedding, retriever, generator
C) Trigger, action, condition
D) Model, instructions, tools

2. You have a Microsoft Azure AI Foundry project named Project1.
You plan to create an app named App1 that will connect to Project1 and chat by using a generative AI model.
You need to connect App1 to Project1 by using the Azure AI Foundry SDK. The solution must minimize development effort.
What should you configure in App1?

A) an AIProjectClient object
B) a connection string
C) a project scope key
D) a SASCredentials object

3. You have an Azure Speech in Foundry Tools resource that hosts a custom speech to text model deployed to a custom endpoint. An agent uses the endpoint to perform real-time speech recognition.
You are approaching the expiration date of the custom speech to text model.
What is the expected behavior when the model expires?

A) Speech recognition requests will return a 4xx error until a new custom model is deployed.
B) Speech recognition requests will fall back to the most recent base model for the same locale.
C) Speech recognition requests will continue to use the expired custom model until the model is removed manually.
D) The custom model will be deleted automatically when the model expires.

4. 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 multimodal AI generative model that accepts image uploads and uses extracted image text to generate responses.
You discover that users can upload unsafe images and embed hidden instructions into images to manipulate the model.
You need to implement controls to mitigate the risk.
Solution: You configure protected material detection.
Does this meet the goal?

A) No
B) Yes

5. Drag and Drop Question
You have a Microsoft Foundry project that contains an agent used by the financial analysts at your company.
You need to optimize the agent workflow by providing additional data access and processing capabilities. The solution must meet the following requirements:
- Ensure that the agent can perform calculations during conversations.
- Ensure that the agent can access up-to-date information from public
websites.
- Ensure that the agent can retrieve information from documents
uploaded directly to the agent.
What should you use for each requirement? To answer, drag the appropriate tools to the correct requirements. Each tool may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Solutions: