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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and manage Azure AI solutions | 25-30% | - Plan Azure AI resources
|
| Topic 2: Implement generative AI solutions | 25-30% | - Develop generative AI applications
|
| Topic 3: Implement agentic solutions | 20-25% | - Manage agent operations
|
| Topic 4: Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Topic 5: Implement computer vision solutions | 10-15% | - Analyze visual content
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
You have an application that processes scanned PDF invoices. The invoices have varied layouts and include multipage tables.
You have a pipeline that uses optical character recognition (OCR) and extracts totals and invoice numbers. The results are often incorrect because the document structure is ignored.
You need to implement a solution that provides OCR, layout analysis, and template-generalizing field extraction. The solution must NOT require training a custom model. The solution must minimize administrative effort.
What should you include in the solution?
- A. an Azure Machine Learning model
- B. Azure Content Understanding in Foundry Tools
- C. Azure Language in Foundry Tools
Correct Answer: B 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
You have a web app named App1 that processes user prompts by integrating with a Microsoft Foundry project named Project1. App1 performs the following actions:
- Sends prompts directly to a model by using the Azure OpenAI Responses API
- Invokes the Azure AI Content Safety tool by using a Foundry
connection within the same request
You need to configure end-to-end visibility into each step of the request workflow.
What should you do?
- A. Enable application tracing in Project1.
- B. Enable logging by using Foundry Local.
- C. Enable logging by using the client SDK for Content Safety.
- D. Route requests through the Azure OpenAI endpoint.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
Hotspot Question
You have a Microsoft Foundry project that contains an agent.
You use a GitHub Actions workflow for CI/CD.
You need to configure the workflow to automatically evaluate the agent when a pull request (PR) is created and prevent branches from merging if the evaluation results do NOT meet the defined thresholds.
How should you configure the workflow? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
You have an Azure subscription that contains an Azure OpenAI resource named AI1.
You build a chatbot that uses AI1 to provide generative answers to specific questions.
You need to ensure that questions intended to circumvent built-in safety features are blocked.
Which Azure AI Content Safety feature should you implement?
- A. Prompt Shields
- B. Moderate text content
- C. Protected material text detection
- D. Monitor online activity
Correct Answer: A 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
You have a Microsoft Foundry project that contains an agent and uses a GitHub repository. The repository contains a YAM file named File1 that defines the evaluation settings of the agent. You need to create a GitHub Actions workflow that runs the evaluation defined in File1 when a pull request (PR) is opened. How should you configure the workflow?
- A. Set project-endpoint to the endpoint of the project.
- B. Set tenant-id to the Microsoft Entra tenant ID
- C. Set evaluation-config to the path of the YAML file.
- D. Set model-deployment-name to the deployed model.
Correct Answer: A 🗳️
Explanation: Only visible for Prep4pass members. You can sign-up / login (it's free).
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