Exam DP-100 topic 6 question 7 discussion

Actual exam question from Microsoft's DP-100

Question #: 7
Topic #: 7

You need to implement a model development strategy to determine a user's tendency to respond to an ad.
Which technique should you use?

A. Use a Relative Expression Split module to partition the data based on centroid distance.
B. Use a Relative Expression Split module to partition the data based on distance travelled to the event.
C. Use a Split Rows module to partition the data based on distance travelled to the event.
D. Use a Split Rows module to partition the data based on centroid distance.

Show Suggested Answer

Suggested Answer: A 🗳️
Split Data partitions the rows of a dataset into two distinct sets.
The Relative Expression Split option in the Split Data module of Azure Machine Learning Studio is helpful when you need to divide a dataset into training and testing datasets using a numerical expression.
Relative Expression Split: Use this option whenever you want to apply a condition to a number column. The number could be a date/time field, a column containing age or dollar amounts, or even a percentage. For example, you might want to divide your data set depending on the cost of the items, group people by age ranges, or separate data by a calendar date.
Scenario:
Local market segmentation models will be applied before determining a user's propensity to respond to an advertisement.
The distribution of features across training and production data are not consistent
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data

by juandante at April 22, 2020, 3:45 p.m.

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juandante

Highly Voted 1 year, 1 month ago

Seems the answer is indeed "Relative Expression Split"

upvoted 9 times

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Codia

Most Recent 7 months, 3 weeks ago

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/split-data-using-regular-expression

upvoted 1 times

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