CompTIA DY0-001 Exam Dumps

Get All CompTIA DataAI Certification Exam Questions with Validated Answers

DY0-001 Pack
Vendor: CompTIA
Exam Code: DY0-001
Exam Name: CompTIA DataAI Certification Exam
Exam Questions: 85
Last Updated: June 27, 2026
Related Certifications: CompTIA DataAI
Exam Tags: Expert Data ScientistsMachine Learning Engineers
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Free CompTIA DY0-001 Exam Actual Questions

Question No. 1

During EDA, a data scientist wants to look for patterns, such as linearity, in the dat

a. Which of the following plots should the data scientist use?

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Correct Answer: C

Scatter plots display pairs of numeric values on two axes, letting you visually assess relationships and patterns, such as linear trends, between variables.


Question No. 2

Which of the following describes the appropriate use case for PCA?

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Correct Answer: A

Principal Component Analysis transforms correlated features into a smaller set of uncorrelated components that capture most of the variance, making it ideal for reducing dimensionality before modeling or visualization.


Question No. 3

The following graphic shows the results of an unsupervised, machine-learning clustering model:

k is the number of clusters, and n is the processing time required to run the model. Which of the following is the best value of k to optimize both accuracy and processing requirements?

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Correct Answer: B

The curve shows a steep drop in processing time up to about k = 10, after which gains in speed taper off. Choosing 10 clusters balances sufficient model complexity with reasonable computational cost.


Question No. 4

A data scientist has built an image recognition model that distinguishes cars from trucks. The data scientist now wants to measure the rate at which the model correctly identifies a car as a car versus when it misidentifies a truck as a car. Which of the following would best convey this information?

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Correct Answer: A

A confusion matrix directly shows true positives (cars correctly identified) and false positives (trucks misidentified as cars), giving you exactly the rates you're interested in.


Question No. 5

A data scientist is analyzing a data set with categorical features and would like to make those features more useful when building a model. Which of the following data transformation techniques should the data scientist use? (Choose two.)

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Correct Answer: B

One-hot encoding creates binary indicator columns for each category, allowing models to treat nominal categories without implying any order.

Label encoding maps categories to integer labels, which can be useful for tree-based models or when you need a single numeric column (though you must ensure the algorithm can handle treated ordinality appropriately).


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