Which of the following is a common oversampling technique?

Principal Component Analysis (PCA)

SMOTE (Synthetic Minority Over-sampling Technique)

Which of the following best describes a uniform distribution?

All values have equal probability of occurring.

Values cluster around a central peak with symmetric tails.

The distribution has a long tail on one side.

The distribution has two distinct peaks.

A data science team is building a model to predict customer lifetime value (CLV). The dataset includes demographic features and purchase history. The 'income' field is missing for 30% of customers, and the missingness is strongly correlated with low purchase frequency. The team is considering two approaches: (A) drop all rows with missing income, or (B) use multiple imputation to fill in the missing values. The team's primary goal is to minimize bias in the CLV predictions. Which approach is more appropriate, and why?

Approach B, because multiple imputation accounts for the uncertainty of missing values and reduces bias

Approach A, because dropping rows ensures the model only uses complete, reliable data

Approach A, because it is simpler and faster to implement

Approach B, because it will always produce perfectly accurate estimates of the missing values

CompTIADataX

Domain 1Objective 2

Probability and Modeling DY0-001 Practice Questions (Page 2)

Part of the Mathematics and statistics domain, which accounts for 17% of the DY0-001 exam. CompTIA does not publish an official question count, but from its 165-minute exam (~65–110 total, ~11–19 in this domain), expect 3–5 from this objective — we provide 31 practice questions to prepare you well beyond it. (estimate)

31questions here

7free pages

10concepts

17%of the exam

Questions 6–10

6foundation · easy
Which of the following is a common oversampling technique?
Select an answer first
7foundation · easy
A distribution has a long tail extending to the right. Which of the following correctly describes its skewness?
Select an answer first
8foundation · easy
Which of the following best describes a uniform distribution?
Select an answer first
9expert · hard
A data science team is building a model to predict customer lifetime value (CLV). The dataset includes demographic features and purchase history. The 'income' field is missing for 30% of customers, and the missingness is strongly correlated with low purchase frequency. The team is considering two approaches: (A) drop all rows with missing income, or (B) use multiple imputation to fill in the missing values. The team's primary goal is to minimize bias in the CLV predictions. Which approach is more appropriate, and why?
Select an answer first
10foundation · easy
Which distribution is commonly used to model the number of times an event occurs in a fixed interval of time?
Select an answer first

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Probability and Modeling DY0-001 Practice Questions (Page 2)

Questions 6–10

Which of the following is a common oversampling technique?

A distribution has a long tail extending to the right. Which of the following correctly describes its skewness?

Which of the following best describes a uniform distribution?

Which distribution is commonly used to model the number of times an event occurs in a fixed interval of time?

Keep studying — Mathematics and statistics