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AI-102 · Question #190

SIMULATION Use the following login credentials as needed: - To enter your username, place your cursor in the Sign in box and click on the username below. - To enter your password, place your cursor…

The correct approach uses Azure Custom Vision (part of Azure AI Services) to build a custom image classification model that can distinguish between Microsoft Surface Pro and Surface Studio devices. You must use the existing AAA12345678 Azure AI Services resource rather than…

Submitted by jaden.t· Mar 30, 2026Implement image classification solutions using Azure AI Vision / Custom Vision, including training custom models with labeled images and publishing prediction endpoints as part of the Azure AI Engineer Associate (AI-102) or Azure AI Fundamentals (AI-900) certification objectives.

Question

SIMULATION Use the following login credentials as needed: - To enter your username, place your cursor in the Sign in box and click on the username below. - To enter your password, place your cursor in the Enter password box and click on the password below. Azure Username: [email protected] Azure Password: XXXXXXXXXXXX The following information is for technical support purposes only: - Lab Instance: 12345678 Task You need to build an API that uses the service in Azure AI Services named AAA12345678 to identify whether an image includes a Microsoft Surface Pro or Surface Studio. To achieve this goal, you must use the sample images in the C:\Resources\Images folder. To complete this task, sign in to the Azure portal. Answer: Step 1: In the Azure dashboard, click Create a resource. Step 2: In the search bar, type "Cognitive Services." You'll get information about the cognitive services resource and a legal notice. Click Create. Step 3: You'll need to specify the following details about the cognitive service (refer to the image below for a completed example of this page): Subscription: choose your paid or trial subscription, depending on how you created your Azure account. Resource group: click create new to create a new resource group or choose an existing one. Region: choose the Azure region for your cognitive service. Choose: East US Azure region. Name: choose a name for your cognitive service. Enter: AAA12345678 Pricing Tier: Select: Free pricing tier Step 4: Review and create the resource, and wait for deployment to complete. Then go to the deployed resource. Note: The Computer Vision Image Analysis service can extract a wide variety of visual features from your images. For example, it can determine whether an image contains adult content, find specific brands or objects, or find human faces. Tag visual features Identify and tag visual features in an image, from a set of thousands of recognizable objects, living things, scenery, and actions. When the tags are ambiguous or not common knowledge, the API response provides hints to clarify the context of the tag. Tagging isn't limited to the main subject, such as a person in the foreground, but also includes the setting (indoor or outdoor), furniture, tools, plants, animals, accessories, gadgets, and so on. Try out the image tagging features quickly and easily in your browser using Vision Studio. Reference: https://docs.microsoft.com/en-us/learn/modules/analyze-images-computer-vision/3-analyze-imag es https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-image-analy sis

Explanation

The correct approach uses Azure Custom Vision (part of Azure AI Services) to build a custom image classification model that can distinguish between Microsoft Surface Pro and Surface Studio devices. You must use the existing AAA12345678 Azure AI Services resource rather than creating a new one, then upload and tag the sample images from C:\Resources\Images to train and publish a Custom Vision model that exposes a prediction API endpoint. This workflow - leveraging Custom Vision's training and prediction APIs - is the correct Azure-native solution for building a custom image recognition API tied to specific product categories.

Topics

#Azure Custom Vision#Azure AI Services#Image Classification#Cognitive Services API

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