QUESTION: 84 Exam Topic: Implement AI predictions in Customer Insights

You are a Customer Data Platform Specialist. Your company’s information technology team wants to use the out-of-the-box customer lifetime value (CLV) machine learning (ML) capabilities that come with audience insights, but the team has some concerns about the suitability of their data. You need to confirm if their research about data requirements is correct.

Which two statements are correct about the data characteristic requirements for configuring the CLV ML model? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

There should be at least two to three transactions per customer ID, preferably across multiple dates.
There should be at least 100,000 unique customers to perform the CLV model.
There should be preferably two to three years of transactional data to predict CLV for one year.
The CLV model will not run if there is any missing data in the fields.

Answer(s): A,C

Reference:

https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetimevalue

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QUESTION: 85 Exam Topic: Implement AI predictions in Customer Insights

Your team developed and integrated a batch inferencing pipeline to audience insights. This allows for a new custom machine learning (ML) model to run and deliver new insights to your unified profiles data. Your team is manually running the custom machine learning workflows.
Which statement is correct about allowing your workflow to run automatically with every scheduled refresh?

You can configure scheduled refreshes for audience insights from Azure ML where you developed the custom ML model.
Your team can set up scheduled refreshes that allow your workflow to run automatically.
Your team needs to manually trigger your custom machine learning workflows.
Scheduled refreshes are not supported for custom machine learning models that are connected to audience insights.

Answer(s): B

Reference:

https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/custom-models https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/system#schedule-tab

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QUESTION: 86 Exam Topic: Implement AI predictions in Customer Insights

You are a Customer Data Platform Specialist. You are configuring a workflow for a custom model using an Azure Machine Learning batch pipeline. Configuring this type of model requires different parameters than Machine Learning Studio (Classic) models.
Which two configuration parameters are required specifically for Azure Machine Learning batch pipelines? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Output data store path
Output data store parameter name
Web service that contains your model
Entity name

Answer(s): B,D

Reference:

https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/custom-models

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QUESTION: 87 Exam Topic: Implement AI predictions in Customer Insights

DRAG DROP (Drag and Drop is not supported)
You are a Customer Data Platform Specialist. The marketing manager at your company wants to understand the training model performance for a customer lifetime value (CLV) model you configured.

What do the possible training model performance grades signify? To answer, drag the appropriate definition to the correct grade value. Each definition may be used once or not at all. You may need to drag the split bar between panes or scroll to view content.

NOTE: Each correct selection is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Reference:

https://docs.microsoft.com/en-us/dynamics365/customer-insights/audience-insights/predict-customer-lifetimevalue

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QUESTION: 84 Exam Topic: Implement AI predictions in Customer Insights

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QUESTION: 85 Exam Topic: Implement AI predictions in Customer Insights

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QUESTION: 86 Exam Topic: Implement AI predictions in Customer Insights

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QUESTION: 87 Exam Topic: Implement AI predictions in Customer Insights

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