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 DY0-001 Dumps with Practice Exam Questions Answers

Questions: 85 Questions and Answers With Step-by-Step Explanation

Last Update: Jul 2, 2025

DY0-001 Question Includes: Single Choice Questions: 80, Multiple Choice Questions: 3, Simulation: 2,

DY0-001 Questions and Answers

Question # 1

A data scientist has built a model that provides the likelihood of an error occurring in a factory. The historical accuracy of the model is 90%. At a specific factory, the model is reporting a likelihood score of 0.90. Which of the following explains a confidence score of 0.90?

A.

Running this model for all known factory issues, it is expected the model will identify 90 out of 100 known factory issues.

B.

Running this model on 100 samples of factories, a certain model performance is expected for 90 out of the 100 samples.

C.

Running this model 100 times on a factory, it is expected the model will predict 90 out of 100 factory errors.

D.

Running this model 100 times within a factory it is expected the model will predict error 90 out of 100 times the model is ran.

Question # 2

A data scientist needs to analyze a company's chemical businesses and is using the master database of the conglomerate company. Nothing in the data differentiates the data observations for the different businesses. Which of the following is the most efficient way to identify the chemical businesses' observations?

A.

Ingest the data from all of the hard drives and perform exploratory data analysis to identify which business is responsible for chemical operations.

B.

Perform analysis on all of the data and create a summary report on the results relevant to chemical operations.

C.

Consult with the business team to identify which sites are responsible for chemical operations and ingest only the relevant data for analysis.

D.

Ingest data from the hard drive containing the most data and present sample results on the chemical operations.

Question # 3

A data analyst wants to generate the most data using tables from a database. Which of the following is the best way to accomplish this objective?

A.

INNER JOIN

B.

LEFT OUTER JOIN

C.

RIGHT OUTER JOIN

D.

FULL OUTER JOIN

Question # 4

Which of the following describes the appropriate use case for PCA?

A.

Dimensionality reduction

B.

Classification

C.

Regression

D.

Recommendation

Question # 5

A data scientist is performing a linear regression and wants to construct a model that explains the most variation in the data. Which of the following should the data scientist maximize when evaluating the regression performance metrics?

A.

Accuracy

B.

C.

p value

D.

AUC

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