Exam DP-100 topic 7 question 3 discussion

Option C is a method to fix outliers, not visualize them

The "Clip Values" module in Azure Machine Learning Studio is used to limit the values in a column to a specified range. This can be useful in cases where there are extreme values that need to be limited to a certain threshold. However, this module does not identify or quantify outliers in a dataset. Therefore, it would not be useful for the task of identifying and quantifying outliers in the "Age" column.

The three Azure Machine Learning Studio modules that should be used to visually identify and quantify outliers in the Age column before they are removed are: A. Create Scatterplot: This module can be used to create a scatter plot of the data, which allows for visual identification of outliers. B. Summarize Data: This module can be used to calculate basic statistics for the Age column, such as mean, median, standard deviation, and quartiles, which can help to identify outliers. E. Build Counting Transform: This module can be used to create a frequency distribution of the Age column, which can help to identify outliers that occur with low frequency. Therefore, the correct answers are A, B, and E. The modules C and D are not relevant for identifying and quantifying outliers in the Age column.

Each correct answer presents part of the solution. Therefore, the question asks to visualize before removing. Since A & B are visualizations, and C does the removing, all 3 answers are part of the solution. But we need to do A & B before we utilize C. Answer is correct. This brings up a good point with Microsoft tests. Make sure to understand sequencing questions vs. questions that say each answer PRESENTS part of the solution.

The give answer seems to be right, below text from documentation regarding clip values module - https://docs.microsoft.com/en-us/previous-versions/azure/machine-learning/studio-module-reference/clip-values Module overview This article describes how to use the Clip Values module in Machine Learning Studio (classic), to identify and optionally replace data values that are above or below a specified threshold. This is useful when you want to remove outliers or replace them with a mean, a constant, or other substitute value

ans: A,B,E

. Create Scatterplot .Summarize Data .Build Counting Transform

QUESTION "You need to visually identify whether outliers exist in the Age column and quantify the outliers BEFORE the outliers are removed." Thus answer C is part of the answer

question is only about visualization, so option c is incorrect.