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Exam AI-102 topic 3 question 50 discussion

Actual exam question from Microsoft's AI-102

Question #: 50
Topic #: 3

DRAG DROP
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You have a Docker host named Host1 that contains a container base image.

You have an Azure subscription that contains a custom speech-to-text model named model1.

You need to run model1 on Host1.

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.

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Suggested Answer:

by 973b658 at June 14, 2023, 9:12 a.m.

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zellck

Highly Voted 2 years, 1 month ago

1. Request approval to run container 2. Export model1 to Host1 3. Run the container https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-container-stt?tabs=container&pivots=programming-language-csharp

upvoted 36 times

Mehe323

1 year, 5 months ago

Okay, this link provides more information about the approval step, but approval is only necessary when you run the container in a disconnected environment. So if that is mentioned in a question, choosing this step will make more sense. https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-overview#request-approval-to-run-the-container

upvoted 4 times

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973b658

Highly Voted 2 years, 2 months ago

No. 1.Export model1 to Host1. 2.Request approval to run the container. 3.Run the container.

upvoted 8 times

omankoman

1 year, 2 months ago

you are no. 1. Request approval to run container 2. Export model1 to Host1 3. Run the container

upvoted 4 times

mrg998

10 months, 4 weeks ago

yes you are yes to the no

upvoted 3 times

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StelSen

Most Recent 1 month, 3 weeks ago

Export model1 to Host1 → You need to export the custom model from Azure to your Docker host so it’s available locally. Request approval to run the container → Azure Speech container deployment typically requires Microsoft approval (e.g., for speech containers using Custom Speech models). Run the container → Once the model is exported and approval is granted, you can start the Docker container that runs the speech-to-text service

upvoted 1 times

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syupwsh

5 months, 3 weeks ago

1) Request approval to run the container: Before running certain Azure Cognitive Services models in containers, you need to obtain approval from Microsoft. This step is crucial to ensure compliance with usage policies and to enable containerized deployment. 2) Export model1 to Host1: You need to export the custom speech-to-text model from Azure to your local Docker host (Host1). This step involves downloading the model so that it can be used within the Docker container on Host1. 3) Run the container: Finally, you need to run the Docker container on Host1, specifying the exported model. This step will launch the container with the speech-to-text model, enabling it to process speech data.

upvoted 3 times

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sukantadey

6 months ago

Request approval to run container Export model1 to Host1 Run the container

upvoted 2 times

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famco

11 months, 1 week ago

Maybe the question creator was in a hurry (they always are) and saw only the documentation that said there needs to be approval (but it was for disconnected and even though this is not disconnected). Or maybe the question from ET missed disconnected keyword.

upvoted 3 times

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krzkrzkra

1 year ago

1. Request approval to run container 2. Export model1 to Host1 3. Run the container

upvoted 2 times

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etellez

1 year, 1 month ago

this is the answer from Copilot: To run the custom speech-to-text model on your Docker host, you should perform the following actions in sequence: Export model to Host1: You need to export the model from Azure to your Docker host. This typically involves downloading the model and moving it to the Docker host. Run the container: Once the model is on the Docker host, you can run the container that uses this model. Configure disk logging: After the container is running, configure disk logging to keep track of the container's activities and to troubleshoot any issues that might arise.

upvoted 4 times

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takaimomoGcup

1 year, 2 months ago

Request Export Run

upvoted 1 times

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rdemontis

1 year, 9 months ago

Probably here we are requested to run the container in a disconnected environmnet so i think correct answer is : Request approval to run container Export model1 to Host1 Run the container https://learn.microsoft.com/en-us/azure/ai-services/containers/disconnected-containers

upvoted 2 times

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sl_mslconsulting

1 year, 10 months ago

You only need to request approval if you plan to run the container in a completely disconnected environment. And you might not get approved at all as there are some requirements. The question does not indicate if we need to run the container in such a environment.

upvoted 3 times

sl_mslconsulting

1 year, 10 months ago

Based on what you can choose here I would say it’s a disconnected environment. For a connected environment using docker run allows you to download the model at the same so there is no need to export the model manually and then copy it to the host. Zellck is right in the choices.

upvoted 2 times

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M25

1 year, 11 months ago

https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-cstt?tabs=custom-model%2Ccontainer&pivots=programming-language-csharp In this article, you'll learn how to download [from Microsoft Container Registry (MCR)], install, and run a Custom speech to text container. Get the model ID (to use as the argument to the ModelId parameter of the docker run command): The custom model has to have been trained by using the Speech Studio. N/a so far, excluding A (Retrain the model).

upvoted 1 times

M25

1 year, 11 months ago

Run the container with docker run: B (Request approval precedes), The docker run command will start the container when all three of the following options are provided with valid values: ApiKey, Billing, EULA https://learn.microsoft.com/en-us/azure/ai-services/speech-service/speech-container-howto#billing-arguments D (Run container), C (Get model) Here's an example docker run command with placeholder values. … This command: • Runs a custom speech to text container from the container image. • Allocates 4 CPU cores and 8 GB of memory. • Loads the custom speech to text model from the volume input mount, for example, C:\CustomSpeech. • Exposes TCP port 5000 and allocates a pseudo-TTY for the container. • Downloads the model given the ModelId (if not found on the volume mount).

upvoted 2 times

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Tin_Tin

2 years, 1 month ago

Not sure. https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-container-overview#request-approval-to-run-the-container

upvoted 1 times

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