Easy AI-901 practice questions

A call center wants to automatically convert recorded customer support phone calls into written text so that supervisors can search and review the conversations later. Which AI workload should the company use to accomplish this?

A news organization wants to automatically generate a short paragraph that captures the main points of each lengthy article so readers can quickly decide whether to read the full text. Which text-analysis technique should they use?

A public transit authority is building a self-service kiosk. Riders type their destination question into a screen, and the kiosk must read the answer aloud through a speaker so that visually impaired riders can hear it. Which AI workload capability should the developers use to produce the spoken output?

A media monitoring company wants to automatically determine whether social media posts about their client express a positive, negative, or neutral opinion, and produce a score reflecting that tone. Which text-analysis technique should they use?

A software company receives thousands of free-text customer comments each week. Analysts want an AI solution that, for each comment, produces a single overall rating indicating whether the comment expresses a positive, neutral, or negative opinion so they can track satisfaction trends over time. Which text-analysis technique should they use?

A retail company collects thousands of written product reviews each week. The analytics team wants to automatically determine whether each review expresses a positive, neutral, or negative opinion so they can track customer satisfaction trends over time. Which text-analysis technique should they use?

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 marketing team wants to automatically scan thousands of user-uploaded social media photos to find images that contain their company's logo, so they can measure brand exposure. Which AI workload best fits this requirement?

A manufacturing company wants to install cameras on its assembly line that automatically inspect each product and flag units with visible scratches, dents, or misaligned components before they are packaged. Which type of AI workload best fits this requirement?

A global e-commerce company receives customer messages through its website contact form. Before routing each message to the correct regional support team, the company needs to automatically determine which language each message is written in. Which text-analysis capability should the company 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?

You are building a single-agent solution in the Azure AI Foundry portal. Before other developers on your team can find and reuse the agent, you must configure a property that gives the agent a human-readable identity and a short summary of what it does. Which agent configuration should you set for this purpose?

Your team has just created a single-agent solution in the Microsoft Foundry portal that answers HR benefits questions using a file search tool over policy PDFs. Before your developers write any client code with the Foundry SDK, you want to quickly confirm the agent responds correctly and grounds its answers in the uploaded documents. What is the most efficient way to do this?

A mobile app team wants to generate a set of illustrations for their onboarding screens directly from short text descriptions. They plan to deploy a model in Microsoft Foundry and call it from a lightweight app. Which type of model should they deploy to produce the visual outputs from text prompts?

A graphic design team wants to build a lightweight app in Microsoft Foundry that produces original illustration concepts based on short written descriptions their designers type in (for example, 'a futuristic city skyline at sunset in watercolor style'). Which type of model should they deploy to power this app?

A marketing team wants a lightweight app built in Azure AI Foundry that takes a short written concept from a copywriter, such as 'a cozy autumn coffee shop scene,' and produces an original picture they can use in a social media campaign. Which type of model deployment should the team use in Foundry to meet this requirement?

A developer at a marketing firm wants to experiment with different prompts and see how a newly deployed chat model responds before writing any application code. They want to do this entirely within the Azure AI Foundry portal using a graphical interface. Which feature of the Foundry portal should they use?

You are working in the Microsoft Foundry portal and want to deploy your first generative model so you can test it in the playground before writing any code. Which portal feature do you use to find and select an available model to deploy?

A developer wants to build a lightweight Python chat client that sends messages to a chat-completion model already deployed in an Azure AI Foundry project. Before the client can send any prompts programmatically, what is the essential first step in the code?

A developer is building a lightweight app using Azure Speech in Foundry Tools. The app must take a block of written text and produce a spoken audio file that can be downloaded and played back later. Which Azure Speech capability should the developer use?

A marketing team uses a generative image model deployed in Microsoft Foundry to produce promotional artwork from text descriptions. They need to confirm what type of input the model requires and what it produces so they can integrate it into their content pipeline. Which statement correctly describes how a text-to-image generative model in Foundry works?

A publishing company wants to automatically produce spoken audiobook narration from the plain text of its e-books, using natural-sounding voices in multiple languages. Which AI capability should the company use?

A marketing team wants to automatically suggest a short list of the most important terms from each blog post so they can turn them into hashtags and metadata tags. They do not need sentiment, translation, or full summaries — only the significant words and phrases that represent the main topics of the text. Which text-analysis technique should they use?

A marketing team wants to create original promotional visuals by typing descriptive phrases such as 'a red sports car driving through a mountain valley at sunset.' They have no existing images to work from and want the system to produce brand-new pictures. Which type of AI model should they use?

A security company wants to build a system that scans images from building entrances and matches each visible face against a database of enrolled employees to verify identity. Which type of computer vision capability should they use?