Microsoft AI-103 Dumps

Microsoft AI-103 Questions Answers

Developing AI Apps and Agents on Azure
  • 96 Questions & Answers
  • Update Date : October 06, 2026

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Microsoft AI-103 Sample Questions

Question # 1

You have an Azure subscription that contains a Microsoft Foundry resource. You need tobuild an app that will suggest product names from a given product description. WhichFoundry model should you use?

A. GPT-4 
B. DALL-E 
C. Whisper 
D. embeddings



Question # 2

You have a Microsoft Foundry project that contains an agent named Agent1. Agent1 runssuccessfully, but Foundry Control Plane does NOT display values for error rates, runs, andtoken usage, and the Traces tab is empty. You need to ensure that Foundry Control Planedisplays the appropriate values for Agent1.

A. Restart Agent1 from Foundry Control Plane. 
B. Update Agent1 to a new version. 
C. Assign a Log Analytics workspace to Agent1. 
D. Enable Application Insights for Agent1. 



Question # 3

You plan to configure an evaluation in Microsoft Foundry for a Retrieval AugmentedGeneration (RAG) chat app. You need to provide scores for groundedness, relevance, andharmful-content categories. Which two evaluation categories can you use? Each correctanswer presents part of the solution.

A. risk and safety metrics 
B. AI quality (NLP) metrics 
C. AI quality (AI assisted) metrics 
D. fluency evaluator 
E. similarity evaluators 



Question # 4

You have a Microsoft Foundry project that contains an agent. The agent uses two tools toperform the following actions:Use Azure AI Search to retrieve answers from a private product documentationindex. Use the web search tool to retrieve public information on the internet. You need to ensure that for a specific run, the agent deterministically retrieves informationonly from the internet. To what should you set tool_choice?

A. "required" 
B. {"type": "azure_ai_search"} 
C. "auto" 
D. {"type": "bing_grounding"} 



Question # 5

You have an Azure subscription that contains an Azure Language in Foundry Tools serviceresource. You need to identify the URL of the REST interface for the Language service.Which blade should you use in the Azure portal?

A. Networking 
B. Keys and Endpoint 
C. Identity 
D. Properties



Question # 6

You have a Microsoft Foundry agent that grounds responses from an Azure AI Searchindex containing:Searchable text fields for product names and product codes. A vector field containing embeddings for product descriptions. You need users to query by exact product names or codes and by natural-languageproduct descriptions.

A. Semantic search only 
B. Hybrid search 
C. Keyword search only 
D. Vector search only 



Question # 7

You need to measure the public perception of your brand on social media by using naturallanguage processing. Which Azure service should you use?

A. Azure Document Intelligence in Foundry Tools 
B. Content Safety in Foundry Control Plane 
C. Azure Language in Foundry Tools 
D. Azure Vision in Foundry Tools 



Question # 8

You are building an app that will share user images. You need to configure the app to:Categorize each image as a photograph or drawing. Generate a caption for the image. Minimize development effort. Which two services should you include?

A. Image type detection in Azure Vision in Foundry Tools 
B. Object detection in Azure Vision in Foundry Tools 
C. Content tags in Azure Vision in Foundry Tools 
D. Image classification in Azure Custom Vision 
E. Image descriptions in Azure Vision in Foundry Tools 



Question # 9

You are building an app that will use Azure AI to monitor workspaces for safety. You needto recommend a service that meets the following requirements:Generates alerts when employees enter high-risk areas Monitors video feeds in real time Minimizes development effort What should you recommend?

A. Azure Vision in Foundry Tools Image Analysis 
B. Azure AI Video Indexer 
C. Azure Vision in Foundry Tools Spatial Analysis 
D. Object detection in Azure Custom Vision 



Question # 10

You have a Microsoft Foundry project. You need to deploy a model from the model catalogto support real-time inference. The solution must meet the following requirements:Use key-based authentication Support real-time REST API access Not consume the vCPU quota of the virtual machines in the Azure subscription Which type of deployment should you use?

A. serverless API 
B. self-hosted container 
C. standard 
D. batch 



Question # 11

You have an agent named Agent1 that uses Model Context Protocol (MCP) calls to retrieveexternal data. You need to implement guardrails to ensure that Agent1 cannot send anycontent tagged as Violence to the MCP server. Which intervention point should you use?

A. output 
B. user input 
C. tool call 
D. tool response



Question # 12

You have an invoice-processing application named App1 that uses Azure ContentUnderstanding in Foundry Tools. You are building a new Content Understanding pipelinenamed Pipeline1 that must meet the following requirements:Compare an invoice to its related purchase order. Validate the invoice against static vendor contract documents. Return a single structured output that includes discrepancy findings. You need to configure Pipeline1 and expose the pipeline as a single analyzer endpoint.What should you configure?

A. A single-file task in standard mode that uses confidence scores enabled for theextracted fields 
B. A multi-file task in pro mode that uses the vendor contract files as reference data 
C. A multi-file task in standard mode that uses the invoice and purchase order as input tothe analyzer
D. A single-file task in standard mode that uses the vendor contract provided as anadditional document during analysis 



Question # 13

You have a Microsoft Foundry project that contains an agent. The agent uses Azure AISearch for Retrieval Augmented Generation (RAG). You plan to ingest and index PDFproduct manuals. You need to build a solution that supports semantic similarity matching.The solution must ensure that the agent retrieves relevant data when user questions usedifferent wording than the product manuals.

A. vector search 
B. semantic ranking 
C. suggesters 
D. analyzers



Question # 14

You have a Microsoft Foundry project that contains a customer support agent built on adeployed chat model. The agent responses are validated by using an automated testingsystem that compares generated answers to stored expected outputs. Identical promptsmust return consistent responses to prevent automated test failures. You need to reduceresponse variability, without modifying the prompt or reducing factual accuracy.

A. Increase the max_tokens parameter. 
B. Remove stop sequences from the requests. 
C. Increase the temperature parameter. 
D. Decrease the temperature parameter. 



Question # 15

You have a web app named App1 that sends requests to a multimodal chat modeldeployment in a Microsoft Foundry project. User messages can contain both text andimages. Currently, App1 includes image URLs as plain text inside the message content, sothe model cannot recognize them as images. You need to send the message as astructured array that includes both the text portion and the image reference.

A. Add the image URL to request metadata. 
B. Set the user message content array to include items with type: text and type: image_url. 
C. Place the image URL inside the system message. 
D. Include base64 data directly inside the content string. 




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