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Microsoft Exam MB-260 Topic 6 Question 45 Discussion

Actual exam question for Microsoft's MB-260 exam
Question #: 45
Topic #: 6
[All MB-260 Questions]

Your data analytics team wants to create a custom machine learning model to predict whether a customer will purchase a particular product.

You need to explain what is required for integrating a custom model with Microsoft Dynamics 36S Customer Insights. Which two requirements should you tell them? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

Show Suggested Answer Hide Answer
Suggested Answer: A, C

Contribute your Thoughts:

Kaycee
1 months ago
This question is a piece of cake! I bet the developers on the team are already setting up their favorite data lake dance moves.
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Rolland
24 days ago
B) You need a Microsoft Azure Data Lake Gen2 storage account associated with the Azure Machine Learning Studio instance.
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Dorothy
27 days ago
A) You need Owner or User Access Administrator permissions to the Microsoft Azure Machine Learning Workspace to use batch pipelines.
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Jesusita
1 months ago
A is definitely required. We need the right permissions to use the batch pipelines in Azure Machine Learning.
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Reed
1 months ago
I'm not sure about the Azure Data Lake Gen2 storage account requirement. Can someone explain that further?
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Diane
1 months ago
I agree with Martina. We also need a model that returns at least one numeric output parameter for Dynamics 365 Customer Insights.
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Shawn
2 months ago
I think D is a bit misleading. The question says we can integrate a custom model, so I'm guessing we can manage it outside of the Dynamics 365 interface as well.
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Bambi
5 days ago
B) You need a Microsoft Azure Data Lake Gen2 storage account associated with the Azure Machine Learning Studio instance.
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Annalee
12 days ago
A) You need Owner or User Access Administrator permissions to the Microsoft Azure Machine Learning Workspace to use batch pipelines.
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Martina
2 months ago
I think we need Owner or User Access Administrator permissions to the Microsoft Azure Machine Learning Workspace.
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Hollis
2 months ago
C and B seem like the correct requirements. We need a model that outputs a numeric parameter and a Data Lake storage account for the model integration.
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Ashley
26 days ago
Exactly. It's important to have all the requirements in place to successfully integrate the custom machine learning model with Microsoft Dynamics 365 Customer Insights.
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Annmarie
29 days ago
That makes sense. We'll need to ensure we have the necessary permissions and storage in place for the custom model integration.
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Salena
1 months ago
C and B are indeed the correct requirements. We need a numeric output parameter from the model and a Data Lake storage account for integration.
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