WGU - Introduction to Analytics D491 Questions With
All Correct & Verified Answers
The process of analyzing data to ex-
1. What is data analytics?
tract insights
- The process of analyzing data to extract in-
sights
- The process of encrypting data to keep it
secure
- The process of storing data in a secure loca-
tion for future use
- The process of collecting data from various
sources
The practice of using statistical meth-
2. What is data science?
ods to extract insights from data
- The practice of using statistical methods to
extract insights from data
- A field that involves creating data visualiza-
tions to provide insights
- The process of creating computer programs
to automate tasks
- The study of how computers interact with
human language
3. How is data science different from data analyt- Data science focuses on developing
ics? new algorithms and models, while
data analytics focuses on using exist-
- Data science focuses more on tracking exper- ing models to analyze data.
imental data, and data analytics is based on
statistical methods and hypotheses.
- Data science focuses on developing new algo-
rithms and models, while data analytics focus-
es on using existing models to analyze data.
- Data science focuses more on data visual-
, WGU - Introduction to Analytics D491 Questions With
All Correct & Verified Answers
ization, while data analytics focuses on data
cleaning and preprocessing.
- Data science involves creating new algo-
rithms, while data analytics uses existing sta-
tistical methods.
4. Which comparison describes the difference Data analytics is the process of ana-
between data analytics and data science? lyzing data to extract insights, while
data science involves building and
- Data analytics focuses on descriptive analy- testing models to make predictions.
sis, 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 predic-
tions.
- Data analytics focuses on statistics, and data
science mainly focuses on qualitative reason-
ing.
- Data science involves analyzing data from
structured sources, while data analytics in-
volves analyzing data from unstructured
sources.
5. Which type of data analytics project aims to Diagnostic
determine why something happened in the
past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
, WGU - Introduction to Analytics D491 Questions With
All Correct & Verified Answers
6. What are the different types of data analytics Descriptive, diagnostic, predictive,
projects? and prescriptive analytics
- Data warehousing, data mining, data visual-
ization, and business intelligence
- Regression analysis, time series analysis, text
analytics, and network analysis
- Data collection, data cleaning, data transfor-
mation, and data visualization
- Descriptive, diagnostic, predictive, and pre-
scriptive analytics
7. What is the difference between exploratory Exploratory projects involve testing
and confirmatory data analytics projects? hypotheses and finding patterns in
data, while confirmatory projects in-
- Exploratory projects involve testing hypothe- volve verifying existing hypotheses.
ses and finding patterns in data, while confir- NOT CORRECT
matory projects involve verifying existing hy-
potheses.
- 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 pro-
jects involve integrating data from multiple
sources.
8. Which project is considered a data analytics
project?
, WGU - Introduction to Analytics D491 Questions With
All Correct & Verified Answers
- Developing a recommendation system to Creating a dashboard to visualize
suggest new products to customers based on sales data and monitor inventory lev-
their past purchases els for a grocery store chain
- Creating a dashboard to visualize sales data
and monitor inventory levels for a grocery
store chain
- Building a predictive model to forecast stock
prices for a financial services company
- Designing a database schema to store cus-
tomer information for a retail store
9. Why is quality control/assurance crucial for It ensures that the data is accurate
data engineers in a data analytics project? and reliable.
- It ensures that the data is analyzed in a timely
manner.
- It ensures that the data is stored in a secure
location.
- It ensures that the data is accurate and reli-
able.
- It ensures that the data is accessible to all
stakeholders.
10. What does a data analyst do in a data analytics Conducts exploratory data analysis to
project? identify trends and patterns
- Conducts exploratory data analysis to identify
trends and patterns
- Focuses on building machine learning mod-
els
- Oversees data governance and data quality
assurance
All Correct & Verified Answers
The process of analyzing data to ex-
1. What is data analytics?
tract insights
- The process of analyzing data to extract in-
sights
- The process of encrypting data to keep it
secure
- The process of storing data in a secure loca-
tion for future use
- The process of collecting data from various
sources
The practice of using statistical meth-
2. What is data science?
ods to extract insights from data
- The practice of using statistical methods to
extract insights from data
- A field that involves creating data visualiza-
tions to provide insights
- The process of creating computer programs
to automate tasks
- The study of how computers interact with
human language
3. How is data science different from data analyt- Data science focuses on developing
ics? new algorithms and models, while
data analytics focuses on using exist-
- Data science focuses more on tracking exper- ing models to analyze data.
imental data, and data analytics is based on
statistical methods and hypotheses.
- Data science focuses on developing new algo-
rithms and models, while data analytics focus-
es on using existing models to analyze data.
- Data science focuses more on data visual-
, WGU - Introduction to Analytics D491 Questions With
All Correct & Verified Answers
ization, while data analytics focuses on data
cleaning and preprocessing.
- Data science involves creating new algo-
rithms, while data analytics uses existing sta-
tistical methods.
4. Which comparison describes the difference Data analytics is the process of ana-
between data analytics and data science? lyzing data to extract insights, while
data science involves building and
- Data analytics focuses on descriptive analy- testing models to make predictions.
sis, 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 predic-
tions.
- Data analytics focuses on statistics, and data
science mainly focuses on qualitative reason-
ing.
- Data science involves analyzing data from
structured sources, while data analytics in-
volves analyzing data from unstructured
sources.
5. Which type of data analytics project aims to Diagnostic
determine why something happened in the
past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
, WGU - Introduction to Analytics D491 Questions With
All Correct & Verified Answers
6. What are the different types of data analytics Descriptive, diagnostic, predictive,
projects? and prescriptive analytics
- Data warehousing, data mining, data visual-
ization, and business intelligence
- Regression analysis, time series analysis, text
analytics, and network analysis
- Data collection, data cleaning, data transfor-
mation, and data visualization
- Descriptive, diagnostic, predictive, and pre-
scriptive analytics
7. What is the difference between exploratory Exploratory projects involve testing
and confirmatory data analytics projects? hypotheses and finding patterns in
data, while confirmatory projects in-
- Exploratory projects involve testing hypothe- volve verifying existing hypotheses.
ses and finding patterns in data, while confir- NOT CORRECT
matory projects involve verifying existing hy-
potheses.
- 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 pro-
jects involve integrating data from multiple
sources.
8. Which project is considered a data analytics
project?
, WGU - Introduction to Analytics D491 Questions With
All Correct & Verified Answers
- Developing a recommendation system to Creating a dashboard to visualize
suggest new products to customers based on sales data and monitor inventory lev-
their past purchases els for a grocery store chain
- Creating a dashboard to visualize sales data
and monitor inventory levels for a grocery
store chain
- Building a predictive model to forecast stock
prices for a financial services company
- Designing a database schema to store cus-
tomer information for a retail store
9. Why is quality control/assurance crucial for It ensures that the data is accurate
data engineers in a data analytics project? and reliable.
- It ensures that the data is analyzed in a timely
manner.
- It ensures that the data is stored in a secure
location.
- It ensures that the data is accurate and reli-
able.
- It ensures that the data is accessible to all
stakeholders.
10. What does a data analyst do in a data analytics Conducts exploratory data analysis to
project? identify trends and patterns
- Conducts exploratory data analysis to identify
trends and patterns
- Focuses on building machine learning mod-
els
- Oversees data governance and data quality
assurance
