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Microsoft AI-103 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Implement text analysis and information extraction solutions | 10-15% | - Analyze and extract information
|
| Implement agentic solutions | 20-25% | - Manage agent operations
|
| Plan and manage Azure AI solutions | 25-30% | - Plan Azure AI resources
|
| Implement computer vision solutions | 10-15% | - Analyze visual content
|
| Implement generative AI solutions | 25-30% | - Develop generative AI applications
|
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
You have a Microsoft Foundry project that contains an agent and an image generation model deployment.
The agent generates original images from user-supplied product photos.
You need to ensure that the generated images maintain the product identity and visual characteristics of the provided photo.
What should you do?
- A. Apply a groundedness detection filter.
- B. Include a prompt and input image in the request.
- C. Set the input_fidelity parameter to high.
- D. Decrease the value of the temperature parameter.
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
You have a customer support agent that uses the Microsoft Foundry Agent Service.
Sometimes, customers return to a session days later to continue the same support case, and the agent must resume with the full historical context. The agent must provide the following:
- Multi-turn continuity within the session
- Cross-session continuity for the same case
- Access to the full interaction history, including user messages,
agent messages, tool calls, and tool outputs
You need to ensure that the agent automatically reloads the complete history on each new turn.
What should you do?
- A. Create and reuse a conversation by storing the conversation's ID and supplying the ID on subsequent requests.
- B. Persist only the final model response stored in the client application and prepend the response to future prompts.
- C. Enable memory summarization on the agent definition to persist the context automatically.
Correct Answer: A 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
You have a Microsoft Foundry project named Project1 that contains the following:
- An OpenAPI tool that calls an external API
- A project connection named Connection1 that stores the API key of the external API When an agent calls the OpenAPI tool, the API returns a 401 unauthorized error, and traces show that the API key header is NOT being sent.
You need to ensure that the OpenAPI tool automatically includes the API key from Connection1 on all requests.
What should you do?
- A. Enable identity passthrough so that the tool uses the Microsoft Entra token of the caller.
- B. Add the API key header manually to the OpenAPI specification.
- C. Configure the tool to use the default connection of Project1.
- D. Connect the tool to Connection1.
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
Drag and Drop Question
You have a web app that uses Azure AI Search.
When reviewing activity you see greater than expected search query volumes. You suspect that the query key is compromised.
You need to prevent unauthorized access to the search endpoint and ensure that users only have read only access to the documents collection. The solution must minimize app downtime.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:
Explanation:
Enforces Read-Only Permissions: Query keys are specifically designed to provide read-only access to the documents collection of an index. Admin keys provide full read-write administrative privileges and should never be distributed to consumer-facing applications.
Zero Downtime: Azure AI Search lets you generate up to 50 individual query keys. Creating a new one allows the app to stay online throughout the entire key rotation process Reference:
https://learn.microsoft.com/en-us/azure/search/search-security-api-keys
You have a Microsoft Foundry project that contains a model deployment.
You have an application that calls the deployment by using the Azure OpenAI v1 API and DefaultAzureCredential.
The developers at your company receive HTTP 403 errors when they send inference requests, even after running az login.
You need to ensure that the developers can perform model inference. The solution must follow the principle of least privilege.
Which role-based access control (RBAC) role should you assign to the developers?
- A. Cognitive Services OpenAI User
- B. Contributor
- C. Cognitive Services User
- D. Cognitive Services Data Reader
Correct Answer: A 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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