WGU - Introduction to Analytics D491 Questions
with Accurate Verified Solutions 2024 Update
What is data analytics?
A. The process of analyzing data to extract insights
B. The process of encrypting data to keep it secure
C. The process of storing data in a secure location for future use
D. The process of collecting data from various sources
- Correct answer- The process of analyzing data to extract insights
What is data science?
A. The practice of using statistical methods to extract insights from data
B. A field that involves creating data visualizations to provide insights
C. The process of creating computer programs to automate tasks
D. The study of how computers interact with human language
- Correct answer- The practice of using statistical methods to extract insights from
data
How is data science different from data analytics?
A. Data science focuses more on tracking experimental data, and data
analytics is based on statistical methods and hypotheses.
B. Data science focuses on developing new algorithms and models, while data
analytics focuses on using existing models to analyze data.
C. Data science focuses more on data visualization, while data analytics
focuses on data cleaning and preprocessing.
D. 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.
,WGU - Introduction to Analytics D491 Questions
with Accurate Verified Solutions 2024 Update
Which comparison describes the difference between data analytics and data
science?
A. Data analytics focuses on descriptive analysis, while data science focuses on
prescriptive analysis.
B. Data analytics is the process of analyzing data to extract insights, while data
science involves building and testing models to make predictions.
C. Data analytics focuses on statistics, and data science mainly focuses on
qualitative reasoning.
D. 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.
Which type of data analytics project aims to determine why something happened
in the past?
A. Diagnostic
B. Descriptive
C. Predictive
D. Prescriptive
- Correct answer- Diagnostic
What are the different types of data analytics projects?Descriptive, diagnostic,
predictive, and prescriptive analytics
A. Data warehousing, data mining, data visualization, and business intelligence
B. Regression analysis, time series analysis, text analytics, and network
analysis
C. Data collection, data cleaning, data transformation, and data visualization
D. Descriptive, diagnostic, predictive, and prescriptive analytics
,WGU - Introduction to Analytics D491 Questions
with Accurate Verified Solutions 2024 Update
- Correct answer- Descriptive, diagnostic, predictive, and prescriptive analytics
What is the difference between exploratory and confirmatory data analytics
projects?
A. Exploratory projects involve testing hypotheses and finding patterns in
data, while confirmatory projects involve verifying existing hypotheses.
B. Exploratory projects involve analyzing data that is already structured, while
confirmatory projects involve analyzing unstructured data.
C. Exploratory projects involve analyzing large datasets, while confirmatory
projects involve analyzing smaller datasets.
D. 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
Which project is considered a data analytics project?
A. Developing a recommendation system to suggest new products to
customers based on their past purchases
B. Creating a dashboard to visualize sales data and monitor inventory levels
for a grocery store chain
C. Building a predictive model to forecast stock prices for a financial services
company
D. 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
, WGU - Introduction to Analytics D491 Questions
with Accurate Verified Solutions 2024 Update
Why is quality control/assurance crucial for data engineers in a data analytics
project?
A. It ensures that the data is analyzed in a timely manner.
B. It ensures that the data is stored in a secure location.
C. It ensures that the data is accurate and reliable.
D. It ensures that the data is accessible to all stakeholders.
- Correct answer- It ensures that the data is accurate and reliable.
What does a data analyst do in a data analytics project?
A. Conducts exploratory data analysis to identify trends and patterns
B. Focuses on building machine learning models
C. Oversees data governance and data quality assurance
D. Designs and develops databases and data pipelines
- Correct answer- Conducts exploratory data analysis to identify trends and
patterns
What is the function of a data scientist in an organization?
A. To design and maintain data visualizations and dashboards
B. To oversee data governance and compliance
C. To work independently to analyze data and make decisions based on their
findings
D. To conduct statistical analysis and machine learning modeling
- Correct answer- To conduct statistical analysis and machine learning modeling
What is the role of a business intelligence analyst?
A. Overseeing data governance and compliance
B. Developing and implementing data processing pipelines
C. Designing and maintaining data visualizations and dashboards
with Accurate Verified Solutions 2024 Update
What is data analytics?
A. The process of analyzing data to extract insights
B. The process of encrypting data to keep it secure
C. The process of storing data in a secure location for future use
D. The process of collecting data from various sources
- Correct answer- The process of analyzing data to extract insights
What is data science?
A. The practice of using statistical methods to extract insights from data
B. A field that involves creating data visualizations to provide insights
C. The process of creating computer programs to automate tasks
D. The study of how computers interact with human language
- Correct answer- The practice of using statistical methods to extract insights from
data
How is data science different from data analytics?
A. Data science focuses more on tracking experimental data, and data
analytics is based on statistical methods and hypotheses.
B. Data science focuses on developing new algorithms and models, while data
analytics focuses on using existing models to analyze data.
C. Data science focuses more on data visualization, while data analytics
focuses on data cleaning and preprocessing.
D. 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.
,WGU - Introduction to Analytics D491 Questions
with Accurate Verified Solutions 2024 Update
Which comparison describes the difference between data analytics and data
science?
A. Data analytics focuses on descriptive analysis, while data science focuses on
prescriptive analysis.
B. Data analytics is the process of analyzing data to extract insights, while data
science involves building and testing models to make predictions.
C. Data analytics focuses on statistics, and data science mainly focuses on
qualitative reasoning.
D. 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.
Which type of data analytics project aims to determine why something happened
in the past?
A. Diagnostic
B. Descriptive
C. Predictive
D. Prescriptive
- Correct answer- Diagnostic
What are the different types of data analytics projects?Descriptive, diagnostic,
predictive, and prescriptive analytics
A. Data warehousing, data mining, data visualization, and business intelligence
B. Regression analysis, time series analysis, text analytics, and network
analysis
C. Data collection, data cleaning, data transformation, and data visualization
D. Descriptive, diagnostic, predictive, and prescriptive analytics
,WGU - Introduction to Analytics D491 Questions
with Accurate Verified Solutions 2024 Update
- Correct answer- Descriptive, diagnostic, predictive, and prescriptive analytics
What is the difference between exploratory and confirmatory data analytics
projects?
A. Exploratory projects involve testing hypotheses and finding patterns in
data, while confirmatory projects involve verifying existing hypotheses.
B. Exploratory projects involve analyzing data that is already structured, while
confirmatory projects involve analyzing unstructured data.
C. Exploratory projects involve analyzing large datasets, while confirmatory
projects involve analyzing smaller datasets.
D. 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
Which project is considered a data analytics project?
A. Developing a recommendation system to suggest new products to
customers based on their past purchases
B. Creating a dashboard to visualize sales data and monitor inventory levels
for a grocery store chain
C. Building a predictive model to forecast stock prices for a financial services
company
D. 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
, WGU - Introduction to Analytics D491 Questions
with Accurate Verified Solutions 2024 Update
Why is quality control/assurance crucial for data engineers in a data analytics
project?
A. It ensures that the data is analyzed in a timely manner.
B. It ensures that the data is stored in a secure location.
C. It ensures that the data is accurate and reliable.
D. It ensures that the data is accessible to all stakeholders.
- Correct answer- It ensures that the data is accurate and reliable.
What does a data analyst do in a data analytics project?
A. Conducts exploratory data analysis to identify trends and patterns
B. Focuses on building machine learning models
C. Oversees data governance and data quality assurance
D. Designs and develops databases and data pipelines
- Correct answer- Conducts exploratory data analysis to identify trends and
patterns
What is the function of a data scientist in an organization?
A. To design and maintain data visualizations and dashboards
B. To oversee data governance and compliance
C. To work independently to analyze data and make decisions based on their
findings
D. To conduct statistical analysis and machine learning modeling
- Correct answer- To conduct statistical analysis and machine learning modeling
What is the role of a business intelligence analyst?
A. Overseeing data governance and compliance
B. Developing and implementing data processing pipelines
C. Designing and maintaining data visualizations and dashboards
