CompTIA DY0-001

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CompTIA DY0-001 Exam Syllabus Topics:

Reference: https://www.comptia.org/en-us/certifications/dataai/

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CompTIA DataAI Certification Sample Questions:

Question #1
Which of the following is the naive assumption in Bayes' rule?

A. Homoskedasticity
B. Normal distribution
C. Independence
D. Uniform distribution

Question #2
Which of the following is a key difference between KNN and k-means machine-learning techniques?

A. KNN performs better with longitudinal data sets, while k-means performs better with survey data sets.
B. KNN is used for classification, while k-means is used for clustering.
C. KNN operates exclusively on continuous data, while k-means can work with both continuous and categorical data.
D. KNN is used for finding centroids, while k-means is used for finding nearest neighbors.

Question #3
A data scientist is designing a real-time machine-learning model that classifies a user based on initial behavior. The run times of these models are provided in the following table:

Which of the following models should the data scientist recommend for deployment?

A. Random forest
B. Decision trees
C. Artificial neural network
D. XGBoost

Question #4
A data scientist is working with a data set that covers a two-year period for a large number of machines. The data set contains:
The data scientist needs to plot the total measurements from all the machines over the entire time period. Which of the following is the best way to present this data?

A. Box-and-whisker plot
B. Scatter plot
C. Line plot
D. Histogram

Question #5
A data scientist is attempting to identify sentences that are conceptually similar to each other within a set of text files. Which of the following is the best way to prepare the data set to accomplish this task after data ingestion?

A. Sampling
B. Extrapolation
C. One-hot encoding
D. Embeddings

Solutions: