AI-103 exam dumps

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  • Exam Code: AI-103
  • Exam Name: Developing AI Apps and Agents on Azure
  • No. of Questions: 107 Questions and Answers
  • Updated: Jul 15, 2026

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Microsoft Developing AI Apps and Agents on Azure Sample Questions:

1. Hotspot Question
You have a Microsoft Foundry project that contains a workflow for a customer support triage process.
You have an Ask a question node that stores user responses in a local variable named Var01.
You need to create the following Power Fx expressions:
- An if/else condition expression that ensures that Var01 contains a
value
- A Send message expression that returns the stored user response in
uppercase
How should you configure the expressions? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


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


3. You build a chatbot that uses the Azure OpenAI GPT-4 model to generate song lyrics.
You need to ensure that responses do NOT contain lyrics from popular songs that might have been ingested during model training.
Which Azure AI Content Safety API should you use?

A) Custom categories
B) Groundedness detection
C) Analyze Text
D) Protected material text detection


4. A multimodal agent processes user-uploaded images. An attacker embeds hidden text instructions inside an image, hoping the agent will read and act on them. Which Azure AI Content Safety capability is designed to detect this kind of attack?

A) Disabling the agent's file search tool
B) A content filter set to High severity for the Violence category
C) Raising the image resolution threshold on the analyser
D) Prompt Shields, which detects document and indirect prompt injection


5. You have a Microsoft Foundry project that contains an agent.
You need to process mixed-format documents that contain scanned text, tables, and multicolumn layouts. The extracted content must preserve the document structure and be converted into the Markdown format for downstream reasoning.
What should you configure first?

A) an Azure Content Understanding in Foundry Tools analyzer
B) an Azure Language in Foundry Tools text analysis model deployment
C) an Azure OpenAI Responses API call that uses a multimodal model
D) a generative chat completion request


Solutions:

Question # 1
Answer: Only visible for members
Question # 2
Answer: A
Question # 3
Answer: D
Question # 4
Answer: D
Question # 5
Answer: A

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