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…

Submitted by valeria.br· Mar 30, 2026Implement and manage Azure AI services - specifically provisioning an Azure AI Vision resource and configuring application authentication using Keys and Endpoints for image analysis workloads (aligned with AI-102: Designing and Implementing a Microsoft Azure AI Solution)

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 analyze stock photography and automatically generate captions for the images. You need to create a service in Azure to analyze the images. The service must be named caption12345678 and must be in the East US Azure region. The solution must use the Free pricing tier. In the C:\Resources\Caption\Params.json folder, enter the value for Key 1 and the endpoint for the new service. To complete this task, sign in to the Azure portal. Answer: Step 1: Provision a Cognitive Services resource If you don't already have one in your subscription, you'll need to provision a Cognitive Services resource. 1. Open the Azure portal at https://portal.azure.com, and sign in using the Microsoft account associated with your Azure subscription. 2. Select the Create a resource button, search for cognitive services, and create a Cognitive Services resource with the following settings: Subscription: Your Azure subscription Resource group: Choose or create a resource group (if you are using a restricted subscription, you may not have permission to create a new resource group - use the one provided) Region: East US Azure region Name: caption12345678 Pricing tier: Free F0 3. Select the required checkboxes and create the resource. Wait for deployment to complete, and then view the deployment details. 4. When the resource has been deployed, go to it and view its Keys and Endpoint page. You will need the endpoint and one of the keys from this page in the next procedure. Step 2: Save Key and Endpoint values in Params.json Open the configuration file, C:\Resources\Caption\Params.json. and update the configuration values it contains to reflect the endpoint and an authentication key for your cognitive services resource. Save your changes. Reference: https://microsoftlearning.github.io/AI-102-AIEngineer/Instructions/15-computer-vision.html

Explanation

The correct approach requires provisioning an Azure AI Vision (Cognitive Services) resource named 'caption12345678' in the East US region using the Free (F0) pricing tier, which provides image analysis and captioning capabilities. After creation, you must navigate to the resource's 'Keys and Endpoint' blade to retrieve Key 1 and the endpoint URL, then enter these values into the C:\Resources\Caption\Params.json file so the application can authenticate and connect to the service. This is the correct solution because Azure AI Vision is specifically designed for image analysis tasks including automated caption generation, and the Params.json file acts as the configuration file the application reads for its service credentials.

Topics

#Azure AI Vision#Cognitive Services#Image Analysis#Azure Resource Provisioning

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