Exam MB-260 topic 4 question 13 discussion

Actual exam question from Microsoft's MB-260

Question #: 13
Topic #: 4

Your organization’s IT team wants to use the out-of-the-box customer lifetime value (CLV) machine learning (ML) capabilities that come with Microsoft Dynamics 365 Customer Insights. The team has some concerns about the suitability of their data.

You need to provide recommendations for data characteristics that will improve the accuracy of the CLV model.

Which two recommendations should you provide? Each correct answer presents a complete solution.

NOTE: Each correct selection is worth one point.

A. There should be at least two to three transactions per customer ID preferably across multiple dates.
B. At least 90 percent of all fields required for the model should contain data.
C. There should be at least 100,000 unique customers to perform the CLV model.
D. There should preferably be two to three years of transactional data to predict CLV for one year.

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Suggested Answer: AD 🗳️

by valv at April 23, 2024, 4:06 a.m.

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valv

8 months ago

Selected Answer: AD

At the time of this comment, as per the 4th bullet point in the Prerequisites section of the article on the CLV model: https://learn.microsoft.com/en-us/dynamics365/customer-insights/data/predict-customer-lifetime-value#prerequisites

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