DRAG DROP You have an app that manages feedback. You need to ensure that the app can detect negative comments by using the Sentiment Analysis API in Azure Cognitive Service for Language. The solution must ensure that the managed feedback remains on your company's internal network. Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. NOTE: More than one order of answer choices is correct You will receive credit for any of the correct orders you select.

To meet the requirement that managed feedback remains on the internal network, you must use Azure AI containers. This allows the processing of data to happen locally (on-premises) rather than sending the text payload to the public Azure cloud endpoints.

1. Provision the Language service resource: Even for local containers, you must first provision a resource in Azure. The container requires the API Key and Endpoint URL from this resource to authenticate and send billing/metering usage data back to Azure.
2. Deploy to on-premises server: You must pull the Docker image and place it on a server within your internal network (on-premises). Deploying to an Azure Container Instance would violate the data residency requirement by moving processing to the cloud.
3. Run and query: Finally, you instantiate (run) the container using the docker run command with the billing credentials. The application then queries the container's local endpoint (e.g., http://localhost:5000) for sentiment analysis, ensuring the feedback text never leaves the network.

Microsoft Learn. (2023). Install and run containers for Azure AI services. Retrieved from https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-container-support

Relevant Section: "Prerequisites" and "The host computer" (Confirming the need for an Azure resource and a local host computer).

Microsoft Learn. (2023). Install and run Docker containers for the Language service. Retrieved from https://learn.microsoft.com/en-us/azure/ai-services/language-service/sentiment-opinion-mining/how-to/use-containers

Relevant Section: "Run the container with docker run" and "Query the container's prediction endpoint."

Microsoft Learn. (2024). Azure AI services containers faq. Retrieved from https://learn.microsoft.com/en-us/azure/ai-services/cognitive-services-container-support#can-i-run-containers-in-a-disconnected-environment

Relevant Section: Highlights that while data processing is local, the container connects to the Azure resource for billing (unless specifically using disconnected containers, which still requires the initial resource setup).