DA0-001 Exam Questions | DA0-001 Valid Exam Camp Pdf

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Updated CompTIA DA0-001 Practice Questions In Three Formats

While the CompTIA DA0-001 practice questions pdf can help you learn all the relevant answers for the CompTIA Data+ Certification Exam, BootcampPDF also provides an online Sitecore Practice Test engine to enhance your confidence and skills. This practice test engine is an effective tool for both learning and practicing CompTIA DA0-001 Exam.

CompTIA DA0-001 certification exam covers a broad range of topics related to data analysis. Some of the topics covered include data visualization, data modeling, data mining, data warehousing, and statistical analysis. DA0-001 Exam also covers topics related to data security and privacy, which are critical areas in the field of data analysis.

CompTIA Data+ Certification Exam Sample Questions (Q112-Q117):

NEW QUESTION # 112
Given the following customer and order tables:
Which of the following describes the number of rows and columns of data that would be present after performing an INNER JOIN of the tables?

A. Seven rows, eight columns
B. Five rows, eight columns
C. Eight rows, seven columns
D. Nine rows, five columns

Answer: D

NEW QUESTION # 113
Amanda needs to create a dashboard that will draw information from many other data sources and present it to business leaders.
Which one of the following tools is least likely to meet her needs?

A. QuickSight.
B. SPSS Modeler.
C. Power BI.
D. Tableau.

Answer: B

Explanation:
Explanation
SPSS Modeler.
QuickSight, Tableau, and Power BI are all powerful analytics and reporting tools that can pull data from a variety of sources. SPSS Modeler is a powerful predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and your enterprise.

NEW QUESTION # 114
You are working with a dataset and want to change the names of categories that you used for different types of books.
What term best describes this action?

A. Aggregating.
B. Filtering.
C. Recording.
D. Summarizing

Answer: C

Explanation:
Explanation
The term that best describes the action of changing the names of categories that you used for different types of books is recoding. Recoding is a process of transforming or modifying the values of a variable or a category to make them more meaningful, consistent, or accurate. For example, you can recode the names of book genres from "Fiction", "Non-Fiction", "Biography", etc. to "FIC", "NF", "BIO", etc. to make them shorter and easier to use. Reference: Recoding Data - SPSS Tutorials - LibGuides at Kent State University

NEW QUESTION # 115
An analyst has conducted a review of business questions. Which of the following should the analyst do next to conduct an analysis?

A. Determine the data needs and sources for analysis.
B. Determine the data needs and schedule interviews.
C. Determine the data needs and begin the analysis.
D. Determine the data needs and review the observations.

Answer: A

Explanation:
After conducting a review of the business questions, the next step for the analyst is to determine the data needs and sources for analysis. This involves identifying the relevant data elements, variables, and metrics that are required to answer the business questions, as well as the data sources, formats, and quality that are available to access and use. This step will help the analyst to plan the data collection, preparation, and integration processes, as well as to assess the feasibility and limitations of the analysis1.

NEW QUESTION # 116
Which of the following technologies would be best suited for creating a multiple linear regression model?

A. SQL
B. Microsoft Power Bl
C. Tableau
D. R

Answer: D

Explanation:
R is a statistical programming language that is specifically designed for data analysis and statistical modeling, making it highly suitable for creating a multiple linear regression model. It has extensive libraries such as lm() for linear modeling, which simplifies the process of model creation, diagnostics, and interpretation. R also provides robust tools for data manipulation and visualization, which are essential for preparing data for regression analysis and understanding the results123.
While Microsoft Power BI, SQL, and Tableau have capabilities for regression analysis, they are more limited compared to R. Power BI and Tableau are primarily business intelligence tools that offer some built-in analytics capabilities, but they are not as comprehensive as R. SQL is a database query language that can perform some statistical calculations, but it is not inherently designed for statistical modeling4567.
References:
* Multiple Linear Regression in R: Tutorial With Examples - DataCamp1.
* Implementing linear regression in Power BI - SQLBI5.
* Choosing a Predictive Model - Tableau6.
* How Predictive Modeling Functions Work in Tableau7.

NEW QUESTION # 117
......

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