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CompTIA DataX Certification Sample Questions:

1. A data scientist is developing a model to predict the outcome of a vote for a national mascot. The choice is between tigers and lions. The full data set represents feedback from individuals representing 17 professions and 12 different locations. The following rank aggregation represents 80% of the data set:

(Screenshot shows survey rankings for just two professions and a few locations, all voting for "Tigers") Which of the following is the most likely concern about the model's ability to predict the outcome of the vote?

A) Out-of-sample data
B) Extrapolated data
C) Interpolated data
D) In-sample data

2. A data scientist is building an inferential model with a single predictor variable. A scatter plot of the independent variable against the real-number dependent variable shows a strong relationship between them.
The predictor variable is normally distributed with very few outliers. Which of the following algorithms is the best fit for this model, given the data scientist wants the model to be easily interpreted?

A) A logistic regression
B) A probit regression
C) An exponential regression
D) A linear regression

3. A data analyst wants to use compression on an analyzed data set and send it to a new destination for further processing. Which of the following issues will most likely occur?

A) Server CPU usage will be too high.
B) Library dependency will be missing.
C) Operating system support will be missing.
D) Server memory usage will be too high.

4. Which of the following JOINS would generate the largest amount of data?

A) INNER JOIN
B) LEFT JOIN
C) CROSS JOIN
D) RIGHT JOIN

5. 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?

A) 10
B) 15
C) 20
D) 2

Solutions: