Implement AI solutions by using Microsoft Foundry

You are building a single-agent solution in the Microsoft Foundry portal for a retail company. The agent must answer customer questions and, when asked about product availability, look up live stock levels from the company's inventory REST API. Which capability should you configure for the agent so it can retrieve this real-time data?

A company wants to build a lightweight app that captures live audio from an in-person staff meeting through a microphone and displays a running text transcript on screen as people speak. The developers plan to use Azure Speech in Foundry Tools. Which Speech capability should they use to meet this requirement?

A developer wants to add a chat feature to an internal Python web app. A GPT model is already deployed in an Azure AI Foundry project. The developer needs the app to send user messages to the deployed model and receive responses programmatically, without building any infrastructure from scratch. Which approach best meets this requirement?

A developer at a logistics company has already created and tested a single-agent solution in the Azure AI Foundry portal that answers shipment-tracking questions. They now want to embed this agent's capabilities into their internal web application so employees can interact with it programmatically, without opening the Foundry portal. What is the most appropriate way to accomplish this?

You are building a single-agent solution in the Microsoft Foundry portal for a finance team. Users will paste raw quarterly sales numbers into the chat and ask the agent to calculate growth percentages, produce a bar chart, and return the results. The agent's language model cannot reliably perform arithmetic or generate images on its own. Which capability should you enable for the agent so it can run calculations and create the chart?

You are building a single-agent travel-booking assistant in Microsoft Foundry. The agent must be able to check real-time seat availability by calling your company's existing internal REST API during a conversation. Which capability should you configure on the agent to enable this?

A logistics company wants to build a lightweight information-extraction app that pulls the shipment ID, carrier name, and delivery date from thousands of scanned bill-of-lading documents. Before running any documents through Azure Content Understanding in Foundry Tools, what must the team define so the service knows which pieces of information to return?

A media company records weekly podcast episodes and wants to automatically build a searchable catalog. For each audio file, they need to extract structured data such as the episode title, list of guest names, and the main topics discussed. They want to use a prebuilt Foundry capability designed to pull structured information from unstructured content, including audio, without training a custom machine learning model. Which Foundry Tool should they use?

A logistics company receives a mix of shipping documents each day: some are scanned bills of lading, others are packing slips, and some are delivery photos taken by drivers. The team wants to build a lightweight information-extraction app in Azure AI Foundry that pulls structured fields (such as tracking number, weight, and destination) from all of these inputs. Which Foundry Tools capability should they use as the foundation of this app?

A legal operations team receives hundreds of scanned PDF contracts each week. They need to build a lightweight app that automatically pulls specific fields — such as the counterparty name, effective date, and total contract value — into a structured format for their database. Which Azure AI Foundry capability should they use to define the fields and extract this information from the documents?

A consumer electronics company receives thousands of photographed warranty registration cards from customers. Each card contains printed and handwritten fields such as product serial number, purchase date, and store name. The team wants to build a lightweight app in Microsoft Foundry that automatically pulls these specific field values into structured data for their database. Which Foundry capability should they use?

A media company records training webinars and needs an automated pipeline that extracts the presenter's spoken talking points, on-screen slide titles, and key visual moments from each recorded video file. Which Azure AI capability in Foundry Tools should the team use to build this single information-extraction solution?

A media company wants to build a lightweight app that automatically extracts spoken dialogue, on-screen text, and key visual moments from uploaded promotional videos so editors can quickly find relevant clips. The team wants to use a single Azure AI service in Foundry Tools that handles all these modalities from the video files. Which service should they use?

A logistics company wants to build a lightweight information-extraction app using Azure Content Understanding in Foundry Tools to pull specific fields (shipment ID, destination, weight) from thousands of scanned bill-of-lading documents. Before the app can process any documents, what must the team do first in the Content Understanding workflow?

A medical transcription team uses Azure Speech in Foundry Tools to convert dictated notes into text. The default speech-to-text model frequently misrecognizes specialized drug names and clinical terminology, producing inaccurate transcripts. The team wants to improve recognition accuracy for this vocabulary without abandoning Azure Speech. What should they do?

A developer at a marketing agency wants to quickly test how a large language model responds to different prompts before writing any application code. They have an Azure AI Foundry project and need the fastest way to deploy a model and experiment with prompts interactively. What should they do first in the Azure AI Foundry portal?

A field-service company wants a lightweight app where technicians upload a photo of a wiring diagram and ask a typed question such as "Which terminal connects to the ground wire?" The app must reason over the image and the text together and return a written answer. Which model capability should you deploy in Azure AI Foundry to power this app?

A logistics company receives a mix of scanned shipping manifests, PDF bills of lading, and photographed delivery receipts. A developer needs to build a lightweight app that automatically extracts structured fields (such as tracking numbers, dates, and addresses) from all of these document types with minimal custom model training. Which Azure AI Foundry capability should the developer use?

A retail company is building a lightweight vision app in Azure AI Foundry. Employees photograph paper receipts with their phones, and the app must read the printed text from these images so it can be stored and searched. Which capability should the app use to convert the printed text in the photos into machine-readable text?

A developer building a single-agent solution with the Foundry SDK has already created the agent with instructions and connected a Code Interpreter tool. They now want the agent to analyze a specific CSV file the user provides during a conversation and return a chart. Which sequence of SDK steps correctly runs this request?