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Exam AI-102 topic 3 question 74 discussion

Actual exam question from Microsoft's AI-102
Question #: 74
Topic #: 3
[All AI-102 Questions]

DRAG DROP -

You plan to implement an Azure AI Search resource that will use custom skill based on sentiment analysis.

You need to create a custom model and configure Azure AI Search use the model.

Which five 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 Delta64 at March 2, 2024, 4:55 p.m.

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fba825b
Highly Voted 11 months, 2 weeks ago
1. Create an Azure Machine Learning workspace. 2. Create and train the model in the Azure Machine Learning studio. 3. Create an endpoint for the model. 4. Connect the custom skill to the endpoint. 5. Rerun the indexer to enrich the index.
upvoted 29 times
TimZ1010
5 months ago
1- Provision an Azure AI Services resource and obtain the endpoint. 2- Connect the custom skill to the endpoint 3- Rerun the indexer to enrich the index. 4- Create an Azure Machine Learning workspace. 5- Create and train the model in the Azure Machine Learning studio.
upvoted 2 times
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3a0b61c
Highly Voted 1 year, 2 months ago
https://learn.microsoft.com/en-us/training/modules/build-azure-machine-learn-custom-skill-for-azure-cognitive-search/03-enrich-search-index-use-model 1.Create an Azure Machine Learning workspace. 2.Create and train the model in the Azure Machine Learning studio. 3.Create an endpoint for the model. 4.Provision an Azure AI Services resource and obtain the endpoint. 5.Connect the custom skill to the endpoint.
upvoted 8 times
MonicaKarim
1 year ago
in the link you provided, last step is to update your existing cognitive search that means is to create the search resource first: 1- Provision an Azure AI Services resource and obtain the endpoint. 2- Create an Azure Machine Learning workspace. 3- Create and train the model in the Azure Machine Learning studio. 4- Create an endpoint for the model. 6- Connect the custom skill to the endpoint.
upvoted 4 times
mrg998
8 months, 1 week ago
that link literally says "rerun your indexer to enrich your index with the AML model." as the last step. The correct sequence from that link is: 1. Create an Azure Machine Learning workspace. 2. Create and train the model in the Azure Machine Learning studio. 3. Create an endpoint for the model. 4. Connect the custom skill to the endpoint. 5. Rerun the indexer to enrich the index
upvoted 5 times
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syupwsh
Most Recent 3 months ago
https://learn.microsoft.com/en-us/training/modules/create-azure-ai-custom-skill/5-ml-custom-skill 1. Create an Azure Machine Learning workspace. 2. Create and train the model in the Azure Machine Learning studio. 3. Create an endpoint for the model. 4. Connect the custom skill to the endpoint. 5. Rerun the indexer to enrich the index.
upvoted 2 times
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gyaansastra
3 months ago
To implement an Azure AI Search resource that uses a custom skill based on sentiment analysis, follow these actions in sequence: Create an Azure Machine Learning workspace: Set up the environment where you can create and manage your machine learning experiments and models. Create and train the model in the Azure Machine Learning studio: Develop and train your custom sentiment analysis model using the resources in your Azure Machine Learning workspace. Create an endpoint for the model: Deploy your trained model and create an endpoint to access the model via REST API. Connect the custom skill to the endpoint: Configure Azure AI Search to use your custom skill by connecting it to the model's endpoint. Rerun the indexer to enrich the index: Update the search index by rerunning the indexer, which will now use the custom skill to analyze sentiment and enrich the data in the search index.
upvoted 1 times
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anto69
9 months, 2 weeks ago
ChatGPT: 1- Provision an Azure AI Services resource and obtain the endpoint. 2- Create an Azure Machine Learning workspace. 3- Create and train the model in the Azure Machine Learning studio. 4- Create an endpoint for the model. 6- Connect the custom skill to the endpoint
upvoted 1 times
Mattt
2 months, 2 weeks ago
ChatGPT 4.5 1. Create an Azure Machine Learning workspace. 2. Create and train the model in the Azure Machine Learning studio. 3. Create an endpoint for the model. 4. Connect the custom skill to the endpoint. 5. Rerun the indexer to enrich the index.
upvoted 1 times
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krzkrzkra
10 months, 2 weeks ago
1. Create an Azure Machine Learning workspace. 2. Create and train the model in the Azure Machine Learning studio. 3. Create an endpoint for the model. 4. Connect the custom skill to the endpoint. 5. Rerun the indexer to enrich the index.
upvoted 1 times
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PeteColag
11 months, 1 week ago
Based on the detailed steps provided in the Microsoft Learn documentation, the sequence of actions indeed doesn't require provisioning a separate Azure AI Services resource. Instead, the custom skill is directly connected to the Azure Machine Learning model endpoint. https://learn.microsoft.com/en-us/training/modules/build-azure-machine-learn-custom-skill-for-azure-cognitive-search/03-enrich-search-index-use-model
upvoted 4 times
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reiwanotora
11 months, 1 week ago
1. Create an Azure Machine Learning workspace. 2. Create and train the model in the Azure Machine Learning studio. 3. Create an endpoint for the model. 4. Connect the custom skill to the endpoint. 5. Rerun the indexer to enrich the index.
upvoted 1 times
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mon2002
11 months, 3 weeks ago
Create an Azure Machine Learning workspace. Create and train the model in the Azure Machine Learning studio. Create an endpoint for the model. Provision an Azure AI Services resource and obtain the endpoint. Connect the custom skill the endpoint.
upvoted 2 times
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monniq
12 months ago
Create an Azure Machine Learning workspace. Create and train the model in the Azure Machine Learning studio. Create an endpoint for the model. Connect the custom skill to the endpoint. Rerun the indexer to enrich the index.
upvoted 3 times
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takaimomoGcup
1 year ago
Create workspace Provision Connect Create studio Rerun
upvoted 3 times
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Murtuza
1 year, 2 months ago
Create an Azure Machine Learning workspace. Create and train the model in the Azure Machine Learning studio. Create an endpoint for the model. Provision an Azure AI Services resource and obtain the endpoint. Connect the custom skill to the endpoint.
upvoted 1 times
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rober13
1 year, 2 months ago
Create an endpoint for the model. Create and train the model in the Azure Machine Learning studio. Create an Azure Machine Learning workspace. Connect the custom skill to the endpoint. so, with the options: Create an Azure Machine Learning Create and train Provision an Azure Create an endpoint Connect
upvoted 1 times
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chandiochan
1 year, 2 months ago
Create an Azure Machine Learning workspace. Create and train the model in the Azure Machine Learning studio. Create an endpoint for the model. Provision an Azure AI Services resource and obtain the endpoint. Connect the custom skill to the endpoint.
upvoted 2 times
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Delta64
1 year, 2 months ago
According to GPT4: 1. Create an Azure Machine Learning workspace. 2. Create and train the model in the Azure Machine Learning studio. 3. Provision an Azure AI Services resource and obtain the endpoint. 4. Create an endpoint for the model. Connect the custom skill to the endpoint. Rerun the indexer to enrich the index.
upvoted 1 times
Delta64
1 year, 2 months ago
My bad, this is wrong information.
upvoted 1 times
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