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AI-102 · Question #238

Drag and Drop Question You have a Language Understanding solution that runs in a Docker container. You download the Language Understanding container image from the Microsoft Container Registry…

The correct answer is From the Language Understanding portal, export the solution as a package file.; From the host computer, move the package file to the Docker input directory.; From the host computer, run the container and specify the input directory. To deploy a Language Understanding container, you must first export the trained model as a package file from the Language Understanding portal, then move that package file to the Docker input directory on the host computer, and finally run the container specifying the input…

Submitted by yaw92· Mar 30, 2026Deploy and Manage AI Solutions - specifically deploying Cognitive Services containers on-premises or in custom environments using Docker

Question

Drag and Drop Question You have a Language Understanding solution that runs in a Docker container. You download the Language Understanding container image from the Microsoft Container Registry (MCR). You need to deploy the container image to a host computer. 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. Answer:

Exhibit

AI-102 question #238 exhibit

Answer Area

Drag items

From the host computer, move the package file to the Docker input directory.From the Language Understanding portal, export the solution as a package file.From the host computer, build the container and specify the output directory.From the host computer, run the container and specify the input directory.From the Language Understanding portal, retrain the model.

Correct arrangement

  • From the Language Understanding portal, export the solution as a package file.
  • From the host computer, move the package file to the Docker input directory.
  • From the host computer, run the container and specify the input directory.

Explanation

To deploy a Language Understanding container, you must first export the trained model as a package file from the Language Understanding portal, then move that package file to the Docker input directory on the host computer, and finally run the container specifying the input directory so it can load the model. This sequence ensures the containerized LUIS app has access to the exported model package at runtime. The container image is already downloaded from MCR, so the workflow focuses on preparing and providing the model data to the container.

Topics

#Azure Cognitive Services#Language Understanding (LUIS)#Docker Containers#AI Deployment

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