You plan to deploy a containerized version of an Azure Al Language service that will...

First selection:

mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment

Second selection:

https://contoso.cognitiveservices.azure.com

Completed command:

docker run --rm -it -p 5000:5000 --memory 8g --cpus 1 \

mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment \

Eula=accept \

Billing=https://contoso.cognitiveservices.azure.com \

ApiKey=xxx

The image mcr.microsoft.com/azure-cognitive-services/textanalytics/sentiment is the official Microsoft Container Registry image for Azure AI Language sentiment analysis. The Billing argument must reference the endpoint of the provisioned Azure AI Language resource associated with the supplied API key. It is not the address used by applications to invoke the locally running container.

Azure AI containers require three licensing and metering parameters: Eula=accept, a valid Billing endpoint, and ApiKey. Without all three values, the container does not start. The command maps host port 5000 to container port 5000, allocates 8 GB of memory and one CPU, creates an interactive terminal, and automatically removes the stopped container. Applications subsequently invoke the locally hosted service through an address such as http:// < vm-address > :5000. The Azure endpoint remains responsible for metering and authentication; analyzed customer text is processed by the container rather than sent to the billing endpoint.

Study Guide alignment: Implement text analysis solutions — perform sentiment analysis and opinion mining, deploy Azure Language containers, and configure container billing parameters.