Exam DP-100 topic 2 question 37 discussion

Actual exam question from Microsoft's DP-100

Question #: 37
Topic #: 2

Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
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You are analyzing a numerical dataset which contains missing values in several columns.
You must clean the missing values using an appropriate operation without affecting the dimensionality of the feature set.
You need to analyze a full dataset to include all values.
Solution: Remove the entire column that contains the missing data point.
Does the solution meet the goal?

A. Yes
B. No

Show Suggested Answer

Suggested Answer: B 🗳️
Use the Multiple Imputation by Chained Equations (MICE) method.
Reference:
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3074241/
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/clean-missing-data

by pg13 at June 17, 2021, 2:15 p.m.