CompTIA DataX v1.0
Question 1
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. Library dependency will be missing.
- B. Server CPU usage will be too high.
- C. Operating system support will be missing.
- D. Server memory usage will be too high.
Answer : B
Question 2
The most likely concern with a one-feature, machine-learning model is high error due to:
- A. bias.
- B. dimensionality.
- C. variance.
- D. probability.
Answer : A
Question 3
Given matrix -
Which of the following is AT?
-
A.
-
B.
-
C.
-
D.
Answer : C
Question 4
A data scientist is clustering a data set but does not want to specify the number of clusters present. Which of the following algorithms should the data scientist use?
- A. DBSCAN
- B. k-nearest neighbors
- C. k-means
- D. Logistic regression
Answer : A
Question 5
A data analyst wants to find the latitude and longitude of a mailing address. Which of the following is the best method to use?
- A. One-hot encoding
- B. Binning
- C. Geocoding
- D. Imputing
Answer : C
Question 6
Which of the following describes the appropriate use case for PCA?
- A. Dimensionality reduction
- B. Classification
- C. Regression
- D. Recommendation
Answer : A
Question 7
A data scientist observes findings that indicate that as electrical grids in a country become more and more connected over time, the frequency of brownouts and blackouts in total decrease, and the frequency of major brownouts and blackouts increase. Which of the following distribution metrics could best be identified?
- A. Scale axis magnitudes
- B. Kurtosis
- C. Skewness
- D. Normality
Answer : B
Question 8
A data scientist is merging two tables. Table 1 contains employee IDs and roles. Table 2 contains employee IDs and team assignments. Which of the following is the best technique to combine these data sets?
- A. INNER JOIN between Table 1 and Table 2
- B. LEFT JOIN on Table 1 with Table 2
- C. RIGHT JOIN on Table 1 with Table 2
- D. OUTER JOIN between Table 1 and Table 2
Answer : A
Question 9
Which of the following is a classic example of a constrained optimization problem?
- A. The cold start problem
- B. The traveling salesman
- C. Calculating local maximum
- D. Calculating gradient descent
Answer : B
Question 10
A data scientist wants to digitize historical hard copies of documents. Which of the following is the best method for this task?
- A. Word2vec
- B. Optical character recognition
- C. Latent semantic analysis
- D. Semantic segmentation
Answer : B
Question 11
A data scientist trained a model for departments to share. The departments must access the model using HTTP requests. Which of the following approaches is appropriate?
- A. Utilize distributed computing.
- B. Deploy containers.
- C. Create an endpoint.
- D. Use the File Transfer Protocol.
Answer : C
Question 12
Given the following:
Which of the following time series models best represents this process?
- A. ARIMA(1,1,1)
- B. ARMA(1,1)
- C. SARIMA(1, 1, 1) x (1, 1, 1)1
- D. AR(1)
Answer : D
Question 13
Which of the following methods should a data scientist use just before switching to a potential replacement model?
- A. A/B testing
- B. Performance monitoring
- C. CI/CD
- D. Containerization
Answer : A
Question 14
A data scientist is presenting the recommendations from a monthslong modeling and experiment process to the company's Chief Executive Officer. Which of the following is the best set of artifacts to include in the presentation?
- A. Methods, data overview, results, recommendations, and charts
- B. Results, recommendations, justifications, and clear charts
- C. Recommendation, charts, justifications, code reviews, and results
- D. Methodology, code snippets, findings, data tables, and p values
Answer : B
Question 15
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:
Which of the following is the most likely concern about the model's ability to predict the outcome of the vote?
- A. Interpolated data
- B. Extrapolated data
- C. In-sample data
- D. Out-of-sample data
Answer : D