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Microsoft AI-103 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Plan and Manage Azure AI Solutions | - Responsible AI principles and governance - Model selection and lifecycle management - Azure AI resource provisioning and configuration |
| Implement Computer Vision Solutions | - Image classification and object detection - OCR and document intelligence |
| Knowledge Mining and Information Retrieval | - Indexing and semantic search - RAG (Retrieval Augmented Generation) patterns - Azure AI Search configuration |
| Develop Generative AI Applications and Agents | - AI agents architecture
|
| Implement Natural Language Processing Solutions | - Text analytics and summarization - Language understanding and intent recognition - Translation and multilingual support |
Microsoft Developing AI Apps and Agents on Azure Sample Questions:
In mid-2026 you are starting a brand-new agentic application on Azure and want to build on the generally available, supported entry point for Foundry agents. Which API should you target?
- A. The LUIS runtime API
- B. The legacy text Completions API
- C. The Responses API via Foundry Agent Service
- D. The Assistants API
Correct Answer: C 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
You have a Microsoft Foundry project that contains an agent. The agent uses Azure Speech in Foundry Tools.
You fine-tune a baseline speech to text model for the en-us locale and publish the model.
The agent calls the Speech to text REST API and returns an error message indicating that the project ID is invalid.
You need to set the project property to the correct ID.
To what should you set the project property?
- A. the project ID
- B. the project URL
- C. the custom speech project ID
- D. the custom speech endpoint URL
Correct Answer: B 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
You have an application that uses a prebuilt Azure Language model.
You need to generate a summary that meets the following requirements:
- Identify each presenter in the video and attribute each text file to
sentences
- Preserves the original sentence order
- Returns exactly three sentences
Which Language service feature should you use?
- A. sentiment analysis
- B. key phrase extraction
- C. extractive summarization
- D. abstractive summarization
Correct Answer: C 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
Drag and Drop Question
You have a Microsoft Foundry project that contains a deployed ticket-triage agent.
You discover that sometimes the agent responds without calling any tools, even when a tool is required.
You need to ensure that the agent calls a tool during execution.
How should you complete the Python code? To answer, drag the appropriate values to the correct targets. Each value 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.
Correct Answer:
You have a Microsoft Foundry project that contains an agent.
The agent ingests scanned PDF vendor invoices that contain tables and embedded QR codes.
The agent must preserve the PDF layout in the extracted output to ensure that downstream processing can reference sections and tables.
You plan to call Azure Content Understanding in Foundry Tools.
You need to extract content and layout elements and detect QR codes without requiring a language model deployment.
Which built-in analyzer should you use?
- A. prebuilt-read
- B. prebuilt-documentSearch
- C. prebuilt-layout
- D. prebuilt-documentFieldSchema
Correct Answer: C 🗳️
Explanation: Only visible for PassReview members. You can sign-up / login (it's free).
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