DY0-001試験無料問題集（85題）「CompTIA DataAI Certification 認定」

出題：1

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?

A. Error due to reality

B. Sampling error

C. Type II error

D. False positive error

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

A data scientist would like to model a complex phenomenon using a large data set composed of categorical, discrete, and continuous variables. After completing exploratory data analysis, the data scientist is reasonably certain that no linear relationship exists between the predictors and the target. Although the phenomenon is complex, the data scientist still wants to maintain the highest possible degree of interpretability in the final model. Which of the following algorithms best meets this objective?

A. Multiple linear regression

B. Decision tree

C. Random forest

D. Artificial neural network

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

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. 2

B. 20

C. 15

D. 10

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

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. Create an endpoint.

B. Use the File Transfer Protocol.

C. Deploy containers.

D. Utilize distributed computing.

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：5

A data analyst is analyzing data and would like to build conceptual associations. Which of the following is the best way to accomplish this task?

A. TF-IDF

B. n-grams

C. NER

D. POS

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：6

A data scientist has built an image recognition model that distinguishes cars from trucks. The data scientist now wants to measure the rate at which the model correctly identifies a car as a car versus when it misidentifies a truck as a car. Which of the following would best convey this information?

A. AUC/ROC curve

B. Correlation plot

C. Box plot

D. Confusion matrix

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：7

A data scientist is working with a data set that has ten predictors and wants to use only the predictors that most influence the results. Which of the following models would be the best for the data scientist to use?

A. Ridge

B. Weighted least squares

C. OLS

D. LASSO

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：8

Which of the following distance metrics for KNN is best described as a straight line?

A. Euclidean

B. Manhattan

C. Radial

D. Cosine

正解：A 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：9

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:
Which of the following artifacts should the data scientist include in the briefing? (Choose two.)

A. Model performance statistics (accuracy, precision, recall, F1_ score, etc.)

B. Final charts and dashboards

C. Code documentation

D. Mathematical descriptions of clustering algorithms included in the selected model

E. Model selection, justification, and purpose

F. Data dictionary

正解：B 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

DY0-001試験無料問題集「CompTIA DataAI Certification 認定」