CompTIA DataAI Certification - DY0-001 Exam Practice Test
The term "greedy algorithms" refers to machine-learning algorithms that:
Correct Answer: A
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
A computer vision model is trained to identify cats on a training set that is composed of both cat and dog images. The model predicts a picture of a cat is a dog. Which of the following describes this error?
Correct Answer: B
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
A data scientist receives an update on a business case about a machine that has thousands of error codes. The data scientist creates the following summary statistics profile while reviewing the logs for each machine:
Which of the following is the most likely concern with respect to data design for model ingestion?
Which of the following is the most likely concern with respect to data design for model ingestion?
Correct Answer: A
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Which of the following image data augmentation techniques allows a data scientist to increase the size of a data set?
Correct Answer: B
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
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?
Correct Answer: D
Vote an answer
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?
Correct Answer: A
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Given these business requirements:
Which of the following is the most likely optimization technique a data scientist would apply?
Which of the following is the most likely optimization technique a data scientist would apply?
Correct Answer: A
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
Which of the following best describes the minimization of the residual term in a LASSO linear regression?
Correct Answer: B
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).
A data scientist uses a large data set to build multiple linear regression models to predict the likely market value of a real estate property. The selected new model has an RMSE of 995 on the holdout set and an adjusted R2 of .75. The benchmark model has an RMSE of 1,000 on the holdout set. Which of the following is the best business statement regarding the new model?
Correct Answer: D
Vote an answer
Explanation: Only visible for Fast2test members. You can sign-up / login (it's free).