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Microsoft

AI-102 · Question #44

Drag and Drop Question You plan to use a Conversational Language Understanding application named app1 that is deployed to a container. App1 was developed by using a Conversational Language…

The correct answer is Select v1.1 of app1.; Export the model by using the Export for containers (GZIP) option.; Run a container and mount the model file. Version v1.1 is the latest 'trained' version that is also marked as deployed, making it the latest deployable version - v1.2 is trained but not yet deployed, and v1.0 is an older version. To run a Conversational Language Understanding (CLU) model in a container, you must export…

Submitted by haruto_sh· Mar 30, 2026Deploy and manage Azure AI Language services, including containerized deployment of Conversational Language Understanding models

Question

Drag and Drop Question You plan to use a Conversational Language Understanding application named app1 that is deployed to a container. App1 was developed by using a Conversational Language Understanding authoring resource named lu1. App1 has the versions shown in the following table. You need to create a container that uses the latest deployable version of app1. 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:

Exhibits

AI-102 question #44 exhibit 1
AI-102 question #44 exhibit 2

Answer Area

Drag items

Run a container that has version set as an environment variable.Export the model by using the Export as JSON option.Select v1.1 of app1.Run a container and mount the model file.Select v1.0 of app1.Export the model by using the Export for containers (GZIP) option.Select v1.2 of app1.

Correct arrangement

  • Select v1.1 of app1.
  • Export the model by using the Export for containers (GZIP) option.
  • Run a container and mount the model file.

Explanation

Version v1.1 is the latest 'trained' version that is also marked as deployed, making it the latest deployable version - v1.2 is trained but not yet deployed, and v1.0 is an older version. To run a Conversational Language Understanding (CLU) model in a container, you must export it using the 'Export for containers (GZIP)' format, which packages the model in the format required for containerized deployment. Finally, you run the container and mount the exported GZIP model file, as CLU containers require the model to be provided via a mounted file rather than through an environment variable or API call.

Topics

#Conversational Language Understanding#Azure AI Containers#Model Deployment#Azure Language Service

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