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…

Azure Cognitive Services Deployment - Exam Explanation --- Overall Goal & Why This Approach The task is to deploy an Azure Cognitive Services resource that can analyze images and identify specific products (Surface Pro / Surface Studio). The correct service is Computer Vision…

Submitted by the_admin· Mar 30, 2026Implement computer vision solutions

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 plan to build an API that will identify whether an image includes a Microsoft Surface Pro or Surface Studio. You need to deploy a service in Azure AI Services for the API. The service must be named AAA12345678 and must be in the East US Azure region. The solution must use the Free pricing tier. 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

Exhibit

Explanation

Azure Cognitive Services Deployment - Exam Explanation

Overall Goal & Why This Approach

The task is to deploy an Azure Cognitive Services resource that can analyze images and identify specific products (Surface Pro / Surface Studio). The correct service is Computer Vision (part of Azure AI Services), which uses the Image Analysis and tagging features to recognize thousands of objects - including branded products like Microsoft Surface devices.

You deploy this through the Azure portal by creating a Cognitive Services resource because that umbrella resource gives you access to the Computer Vision API endpoint and keys needed to build your custom API on top of it.

Step-by-Step Reasoning

Step 1 - Click "Create a resource" This opens the Azure Marketplace, which is the only place to provision new Azure services. Skipping this and trying to navigate directly to Cognitive Services won't give you a creation workflow - you'd only see existing resources.

Step 2 - Search for "Cognitive Services" Azure has dozens of AI service types. Searching specifically for Cognitive Services targets the multi-service AI resource that bundles Computer Vision under one endpoint. If you searched for something too narrow (e.g., "Custom Vision") you'd get a different, less appropriate service. The legal notice you accept here governs Microsoft's responsible AI terms - you must accept it to proceed.

Step 3 - Fill in configuration details Each field is a hard requirement:

Subscription: determines billing; must be valid or deployment will fail
Resource Group: a logical container for managing related resources together; required before the resource can be saved
Region = East US: the question explicitly requires this. Choosing the wrong region fails the exam objective and could affect latency or data residency
Name = AAA12345678: must match exactly - Azure resource names are used in API URLs and are often validated by the exam grader
Pricing Tier = Free: the question specifies Free; choosing Standard or another tier would technically work but fails the requirement and incurs cost

If any of these are wrong, the resource is created in an invalid state for the exam - even if Azure itself doesn't reject it.

Step 4 - Review + Create, then navigate to the resource The Review + Create tab runs Azure's final validation pass (quota checks, name uniqueness, region availability). Skipping straight to "Create" without reviewing risks missing validation errors. After deployment completes (~1-2 min), navigating to the resource lets you retrieve the API key and endpoint, which are required to actually call the Computer Vision API from your application.

What Goes Wrong If Steps Are Skipped

Skipped Step	Consequence
Wrong region	Resource exists but fails exam objective; may also cause latency issues
Wrong name	Exam grader won't find `AAA12345678`; auto-fail
Wrong pricing tier	Cost incurred or quota mismatch; fails the requirement
Not navigating to resource	You never get the endpoint/key needed to build the API

Helpful Memory Tip

"C-R-N-P" - Create, Region, Name, Pricing

When provisioning any Azure AI resource on an exam, always verify these four things in order: you Created the right service type, set the right Region, entered the exact Name, and picked the correct Pricing tier. These are the four fields most commonly tested and most commonly wrong.

Topics

#Azure AI Services#Computer Vision#Resource Deployment#Cognitive Services

Community Discussion

No community discussion yet for this question.

Full AI-102 Practice