Exam MB-260 topic 4 question 1 discussion

Actual exam question from Microsoft's MB-260

Question #: 1
Topic #: 4

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.

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

Show Suggested Answer

Suggested Answer: AC 🗳️

by Iker at Aug. 1, 2022, 9:33 a.m.

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Niranjan1

10 months, 1 week ago

Selected Answer: AC

Correct

upvoted 1 times

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mick72

1 year, 5 months ago

Selected Answer: AC

Correct. Verified

upvoted 1 times

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Iker

1 year, 6 months ago

Selected Answer: AC

Correct. View "Suggested data characteristics" section. A) True B) False. At least 100 unique customers, preferably more than 10,000 customers. The model will fail with fewer than 100 customers and insufficient historical data C)True D)False. Data completeness: Less than 20% missing values in required fields in the input data

upvoted 1 times

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