WGU - INTRODUCTION TO
ANALYTICS D491
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This Exam contains: WGU - Introduction to Analytics
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✓ 100% Accurate Questions and Answers
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,Question 1
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
Correct Answer
The process of analyzing data to extract insights
Question 2
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
- The study of how computers interact with human language
Correct Answer
The practice of using statistical methods to extract insights from data
Question 3
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.
Correct Answer
Data science focuses on developing new algorithms and models, while data analytics focuses on using existing
models to analyze data.
Question 4
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.
Correct Answer
Data analytics is the process of analyzing data to extract insights, while data science involves building and testing
models to make predictions.
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,Question 5
Which type of data analytics project aims to determine why something happened in the past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
Correct Answer
Diagnostic
Question 6
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
Correct Answer
Descriptive, diagnostic, predictive, and prescriptive analytics
Question 7
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.
Correct Answer
Exploratory projects involve testing hypotheses and finding patterns in data, while confirmatory projects involve
verifying existing hypotheses.
NOT CORRECT
Question 8
Which project is considered a data analytics project?
- Developing a recommendation system to suggest new products to customers based on their past purchases
- 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 customer information for a retail store
Correct Answer
Creating a dashboard to visualize sales data and monitor inventory levels for a grocery store chain
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, Question 9
Why is quality control/assurance crucial for data engineers in a data analytics project?
- 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 reliable.
- It ensures that the data is accessible to all stakeholders.
Correct Answer
It ensures that the data is accurate and reliable.
Question 10
What does a data analyst do in a data analytics project?
- Conducts exploratory data analysis to identify trends and patterns
- Focuses on building machine learning models
- Oversees data governance and data quality assurance
- Designs and develops databases and data pipelines
Correct Answer
Conducts exploratory data analysis to identify trends and patterns
Question 11
What is the function of a data scientist in an organization?
- To design and maintain data visualizations and dashboards
- To oversee data governance and compliance
- To work independently to analyze data and make decisions based on their findings
- To conduct statistical analysis and machine learning modeling
Correct Answer
To conduct statistical analysis and machine learning modeling
Question 12
What is the role of a business intelligence analyst?
- Overseeing data governance and compliance
- Developing and implementing data processing pipelines
- Designing and maintaining data visualizations and dashboards
- Conducting statistical analysis and machine learning modeling
Correct Answer
Designing and maintaining data visualizations and dashboards
Trusted by thousands of students and professionals worldwide Page 4 of 68
ANALYTICS D491
260+ (Latest 2025-2026 Edition) 100%
Verified Q&A + Answer Key Solutions
100% Guarantee Pass
This Exam contains: WGU - Introduction to Analytics
✓ D491
✓ 100% Accurate Questions and Answers
✓ 100% Guarantee Pass - Verified by Experts
✓ Each Question Includes The Correct Answer
✓ Expert-Verified
Trusted by thousands of students and professionals worldwide Page 1 of 68
,Question 1
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
Correct Answer
The process of analyzing data to extract insights
Question 2
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
- The study of how computers interact with human language
Correct Answer
The practice of using statistical methods to extract insights from data
Question 3
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.
Correct Answer
Data science focuses on developing new algorithms and models, while data analytics focuses on using existing
models to analyze data.
Question 4
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.
Correct Answer
Data analytics is the process of analyzing data to extract insights, while data science involves building and testing
models to make predictions.
Trusted by thousands of students and professionals worldwide Page 2 of 68
,Question 5
Which type of data analytics project aims to determine why something happened in the past?
- Diagnostic
- Descriptive
- Predictive
- Prescriptive
Correct Answer
Diagnostic
Question 6
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
Correct Answer
Descriptive, diagnostic, predictive, and prescriptive analytics
Question 7
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.
Correct Answer
Exploratory projects involve testing hypotheses and finding patterns in data, while confirmatory projects involve
verifying existing hypotheses.
NOT CORRECT
Question 8
Which project is considered a data analytics project?
- Developing a recommendation system to suggest new products to customers based on their past purchases
- 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 customer information for a retail store
Correct Answer
Creating a dashboard to visualize sales data and monitor inventory levels for a grocery store chain
Trusted by thousands of students and professionals worldwide Page 3 of 68
, Question 9
Why is quality control/assurance crucial for data engineers in a data analytics project?
- 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 reliable.
- It ensures that the data is accessible to all stakeholders.
Correct Answer
It ensures that the data is accurate and reliable.
Question 10
What does a data analyst do in a data analytics project?
- Conducts exploratory data analysis to identify trends and patterns
- Focuses on building machine learning models
- Oversees data governance and data quality assurance
- Designs and develops databases and data pipelines
Correct Answer
Conducts exploratory data analysis to identify trends and patterns
Question 11
What is the function of a data scientist in an organization?
- To design and maintain data visualizations and dashboards
- To oversee data governance and compliance
- To work independently to analyze data and make decisions based on their findings
- To conduct statistical analysis and machine learning modeling
Correct Answer
To conduct statistical analysis and machine learning modeling
Question 12
What is the role of a business intelligence analyst?
- Overseeing data governance and compliance
- Developing and implementing data processing pipelines
- Designing and maintaining data visualizations and dashboards
- Conducting statistical analysis and machine learning modeling
Correct Answer
Designing and maintaining data visualizations and dashboards
Trusted by thousands of students and professionals worldwide Page 4 of 68
