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CompTIA DataAI v1 Exam (DY0-001) - CompTIA Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
85 Total Questions
1
Question
A data scientist is preparing to brief a non-technical audience that is focused on analysis and results.

During the modeling process, the data scientist produced the following artifacts: Charts and dashboards Model performance statistics (accuracy, precision, recall, F1 score, etc.) Mathematical descriptions of clustering algorithms included in the selected model Model selection, justification, and purpose Code documentation Data dictionary

Which of the following artifacts should the data scientist include in the briefing? (Choose two.)
Select 2
Options
A Model performance statistics (accuracy, precision, recall, F1_ score, etc.)
B Data dictionary
C Model selection, justification, and purpose
D Code documentation
E Mathematical descriptions of clustering algorithms included in the selected model
F Final charts and dashboards
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2
Question
A data scientist wants to evaluate the performance of various nonlinear models. Which of the following is best suited for this task?
Options
A AIC
B Chi-squared test
C MCC
D ANOVA
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3
Question
In a modeling project, people evaluate phrases and provide reactions as the target variable for the model. Which of the following best describes what this model is doing?
Options
A Sentiment analysis
B Named-entity recognition
C TF-IDF vectorization
D Part-of-speech tagging
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4
Question
A data scientist has built a model that provides the likelihood of an error occurring in a factory. The
historical accuracy of the model is 90%. At a specific factory, the model is reporting a likelihood score
of 0.90. Which of the following explains a confidence score of 0.90?
Options
A Running this model for all known factory issues, it is expected the model will identify 90 out of 100 known factory issues.
B Running this model 100 times on a factory, it is expected the model will predict 90 out of 100 factory errors.
C Running this model on 100 samples of factories, a certain model performance is expected for 90 out of the 100 samples.
D Running this model 100 times within a factory it is expected the model will predict error 90 out of 100 times the model is ran.
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5
Question
A data scientist is using the following confusion matrix to assess model performance:

Exhibit

The model is predicting whether a delivery truck will be able to make 200 scheduled delivery stops. Every time the model is correct, the company saves an hour in planning and scheduling of maintenance work. Every time the model is wrong, the company loses four hours of delivery time for the truck. Which of the following is the net model impact for the company?
Options
A 25 hours lost
B 25 hours saved
C 165 hours lost
D 165 hours saved
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