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WGU - Introduction to Analytics D491 Exam Questions With 100% Verified Answers
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WGU - Introduction to Analytics D491 Exam Questions With 100% Verified Answers What is data analytics? - The process of analyzing data to extract insights - The process of encrypting data to keep it secure - The process of storing data in a secure location for future use - The process of coll...

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  • October 2, 2024
  • 46
  • 2024/2025
  • Exam (elaborations)
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WGU - Introduction to Analytics D491 Exam
Questions With 100% Verified Answers




What is data analytics?




- The process of analyzing data to extract insights

- The process of encrypting data to keep it secure

- The process of storing data in a secure location for future use


- The process of collecting data from various sources - answer✔The process of analyzing data to

extract insights

What is data science?




- The practice of using statistical methods to extract insights from data

- A field that involves creating data visualizations to provide insights

- The process of creating computer programs to automate tasks

, ©BRAINBARTER 2024/2025


- The study of how computers interact with human language - answer✔The practice of using

statistical methods to extract insights from data

How is data science different from data analytics?




- Data science focuses more on tracking experimental data, and data analytics is based on

statistical methods and hypotheses.

- Data science focuses on developing new algorithms and models, while data analytics focuses

on using existing models to analyze data.

- Data science focuses more on data visualization, while data analytics focuses on data cleaning

and preprocessing.

- Data science involves creating new algorithms, while data analytics uses existing statistical

methods. - answer✔Data science focuses on developing new algorithms and models, while data

analytics focuses on using existing models to analyze data.

Which comparison describes the difference between data analytics and data science?




- Data analytics focuses on descriptive analysis, while data science focuses on prescriptive

analysis.

- Data analytics is the process of analyzing data to extract insights, while data science involves

building and testing models to make predictions.

, ©BRAINBARTER 2024/2025


- Data analytics focuses on statistics, and data science mainly focuses on qualitative reasoning.

- Data science involves analyzing data from structured sources, while data analytics involves

analyzing data from unstructured sources. - answer✔Data analytics is the process of analyzing

data to extract insights, while data science involves building and testing models to make

predictions.

Which type of data analytics project aims to determine why something happened in the past?




- Diagnostic

- Descriptive

- Predictive


- Prescriptive - answer✔Descriptive


What are the different types of data analytics projects?Descriptive, diagnostic, predictive, and

prescriptive analytics




- Data warehousing, data mining, data visualization, and business intelligence

- Regression analysis, time series analysis, text analytics, and network analysis

- Data collection, data cleaning, data transformation, and data visualization

, ©BRAINBARTER 2024/2025


- Descriptive, diagnostic, predictive, and prescriptive analytics - answer✔Descriptive, diagnostic,

predictive, and prescriptive analytics

What is the difference between exploratory and confirmatory data analytics projects?




- Exploratory projects involve testing hypotheses and finding patterns in data, while

confirmatory projects involve verifying existing hypotheses.

- Exploratory projects involve analyzing data that is already structured, while confirmatory

projects involve analyzing unstructured data.

- Exploratory projects involve analyzing large datasets, while confirmatory projects involve

analyzing smaller datasets.

- Exploratory projects involve analyzing data from a single source, while confirmatory projects

involve integrating data from multiple sources. - answer✔Exploratory projects involve testing

hypotheses and finding patterns in data, while confirmatory projects involve verifying existing

hypotheses.

NOT CORRECT

Which project is considered a data analytics project?




- Developing a recommendation system to suggest new products to customers based on their past

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