1|Page
WGU D491 Introduction To Analytics Objective
Assessment Final Exam Version 1,2 &3 (3 Latest
Versions) Actual Exam Newest 2026 With Complete
Questions And Correct Answers |Already Graded
A+||Newest Version!!!
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
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- The process of creating computer programs to automate
tasks
- 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.
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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.
- 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
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- Prescriptive - Answer-Diagnostic
What are the different types of data analytics projects?
- 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
- 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.
WGU D491 Introduction To Analytics Objective
Assessment Final Exam Version 1,2 &3 (3 Latest
Versions) Actual Exam Newest 2026 With Complete
Questions And Correct Answers |Already Graded
A+||Newest Version!!!
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
,2|Page
- The process of creating computer programs to automate
tasks
- 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.
,3|Page
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.
- 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
, 4|Page
- Prescriptive - Answer-Diagnostic
What are the different types of data analytics projects?
- 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
- 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.
