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Microsoft AI-103 Exam Syllabus Topics:

Section	Objectives
Plan and Manage Azure AI Solutions	- Responsible AI principles and governance - Azure AI resource provisioning and configuration - Model selection and lifecycle management
Implement Computer Vision Solutions	- OCR and document intelligence - Image classification and object detection
Develop Generative AI Applications and Agents	- AI agents architecture 1. Memory and state management 2. Agent orchestration and workflows - Azure OpenAI Service integration 1. Function calling and tool use 2. Prompt engineering and prompt flow design
Knowledge Mining and Information Retrieval	- Azure AI Search configuration - Indexing and semantic search - RAG (Retrieval Augmented Generation) patterns
Implement Natural Language Processing Solutions	- Language understanding and intent recognition - Translation and multilingual support - Text analytics and summarization

Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. 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) Enable a managed identity for each application and call Azure AI Search directly.
B) Call Azure AI Search directly from each application by using Microsoft Entra authentication.
C) Create a custom HTTP connection in Foundry and manually configure Azure AI Search endpoints per application.
D) Configure an Azure AI Search connection in Project1 and reference the connection in each application.

2. A developer needs a managed identity to call a Microsoft Foundry project endpoint to run inference and use agents. Security policy requires the least-privilege role that grants data-plane access and nothing more. Which built-in role should you assign to the managed identity?

A) Azure AI Developer
B) Foundry Account Owner
C) Foundry User
D) Cognitive Services Contributor

3. 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.

4. 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.

5. You are building a chatbot.
You need to ensure that the chatbot can classify user input into separate categories. The categories must be dynamic and defined at the time of inference.
Which service should you use to classify the input?

A) Azure OpenAI text classification
B) Azure AI Language custom text classification
C) Azure AI Language custom named entity recognition (NER)
D) Azure OpenAI text summarization

Solutions:

Question # 1 Answer: D

Question # 2 Answer: C

Question # 3 Answer: A

Question # 4 Answer: Only visible for members

Question # 5 Answer: A