Deron Wan's Quiz History_ Module 3 - Lesson 1_ Knowledge Check
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School
DeVry University, Keller Graduate School of Management *
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Course
312
Subject
Industrial Engineering
Date
Dec 6, 2023
Type
Pages
4
Uploaded by DeanFang12699
11/8/23, 7:25 PM
Deron Wan's Quiz History: Module 3 - Lesson 1: Knowledge Check
https://devryu.instructure.com/courses/100175/quizzes/355855/history?version=1
1/4
Module 3 - Lesson 1: Knowledge Check Results for Deron
Wan
Score for this attempt:
20
out of 20
Submitted Nov 8 at 5:25pm
This attempt took 3 minutes.
4 / 4 pts
Question 1
Which missing and repeated values treatment option would you use
if you have a measurement that was not taken and you want to set
all those values to 0?
Forward/backward fill
Substitution
Correct!
Correct!
Interpolating values
Removing rows
Correct
4 / 4 pts
Question 2
What does the clip values module in Azure ML do when attached to a
dataset?
Rescales numerical data in a range
Detects outliers and clips or replaces their values
Correct!
Correct!
11/8/23, 7:25 PM
Deron Wan's Quiz History: Module 3 - Lesson 1: Knowledge Check
https://devryu.instructure.com/courses/100175/quizzes/355855/history?version=1
2/4
Correct
Removes missing data from a dataset
Clips all string values to within a certain number of characters
4 / 4 pts
Question 3
Which of the following are not reasons for visualizing a dataset
before attempting to build a supervised machine-learning model?
Find features that are not likely to be predictive of the label and
should be removed from the dataset before training the machine
learning model
Develop an understanding of the relationship between the features
and the label to determine which features are likely to be predictive of
the label and should be used in training the machine learning
Develop an understanding of which features are redundant or
collinear with other features and should be eliminated from the
dataset before training the machine learning model
Develop an understanding of which features are strings versus
numerical
Correct!
Correct!
11/8/23, 7:25 PM
Deron Wan's Quiz History: Module 3 - Lesson 1: Knowledge Check
https://devryu.instructure.com/courses/100175/quizzes/355855/history?version=1
3/4
Correct
4 / 4 pts
Question 4
Your data contains a wide range of numerical values. You would like
to scale the data in between 0 and 1 in Azure ML. What method of
scaling should you use?
TanH
It is not possible to normalize data.
Logistic
MinMax
Correct!
Correct!
Correct
4 / 4 pts
Question 5
The following plot shows three different variables graphed against
heating load. From the plot, what data transformation technique
should be used so that there will be less bias in the machine-learning
model for surface area over the other two variables?
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11/8/23, 7:25 PM
Deron Wan's Quiz History: Module 3 - Lesson 1: Knowledge Check
https://devryu.instructure.com/courses/100175/quizzes/355855/history?version=1
4/4
Clean missing data
Visualization
Removing outliers
Scaling
Correct!
Correct!
Correct
Quiz Score:
20
out of 20