WGU D491 INTRODUCTION TO ANALYTICS OA EXAM AND
STUDY GUIDE NEWEST 2024-2025 ACTUAL EXAM 250
QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED
ANSWERS) |ALREADY GRADED A+
A data analyst works at an e-commerce company that wants to understand its customer churn rate.
Their manager has tasked them with conducting a data analytics project to identify customers at risk of
churn and offer these customers targeted promotions to retain their business.What is the primary
purpose of the data analytics project's results in this scenario?
To optimize inventory management
To identify customer preferences
To compare the company's churn rate to industry benchmarks
To predict customer churn risk - ANSWER-To predict customer churn risk
A data analyst works at an e-commerce company that wants to understand its customer churn rate.
Their manager has tasked them with conducting a data analytics project to identify customers at risk of
churn and offer these customers targeted promotions to retain their business.What is the most suitable
form of deliverable in this scenario?
Supply chain improvements
Lists of at-risk customers
Monthly sales reports
Updated website design - ANSWER-Lists of at-risk customers
A retail company wants to improve its sales and customer satisfaction by analyzing customer data. The
company hired a data analytics team, which has access to the company's customer database, including
transaction records, demographic information, and customer feedback. The data analytics team will
work closely with the marketing and IT departments to create actionable insights for the company. The
team has three months to complete the project, and the company's budget allows purchasing additional
software tools or training, if necessary. What is the most critical resource for the data analytics project?
The company's inventory records
The company's financial statements
,The customer database
The employee records - ANSWER-The customer database
A retail company wants to improve its sales and customer satisfaction by analyzing customer data. The
company hired a data analytics team, which has access to the company's customer database, including
transaction records, demographic information, and customer feedback. The data analytics team will
work closely with the marketing and IT departments to create actionable insights for the company. The
team has three months to complete the project, and the company's budget allows purchasing additional
software tools or training, if necessary. Which constraint should impact the data analytics project the
most?
Limited budget for purchasing additional software tools
Insufficient time for comprehensive data analysis
Lack of collaboration between departments
Limited access to demographic data on customers - ANSWER-Insufficient time for comprehensive data
analysis
An online retail company wants to use data analytics to improve customer satisfaction and increase
sales. The company has collected data on customer behavior, purchase history, and customer support
interactions. Which outcome is most appropriate for the online retail company's data analytics project?
- Comparing the company's pricing strategy with competitors'
- Understanding the most popular products sold by the company
- Identifying the number of unique customers who visited the website in the past month
- Increasing customer satisfaction and sales through targeted recommendations and improved customer
support - ANSWER-Increasing customer satisfaction and sales through targeted recommendations
and improved customer support
Which phase of the data analytics lifecycle involves cleaning data, normalizing datasets, and performing
transformations? Data modeling
Data preparation
Data evaluation
,Data exploration - ANSWER-Data preparation
What is the primary purpose of the data preparation phase in a data analytics project?
To clean, normalize, and transform data
To build and refine predictive models
To visualize and explore data patterns
To evaluate the performance of models - ANSWER-To clean, normalize, and transform data
Which information tool is a possible source of data in a data analytics project?
Company logo designs
Consumer perception survey questions
Marketing slogans
Corporate information system - ANSWER-Corporate information system
Which data sources would be most relevant for analyzing factors affecting patient satisfaction in a
healthcare company?
- Web log data, call-center records, and survey responses - Printing press run records, noise levels, and
census data
- Credit card charge records, telephone call detail records, and point-of-sale data
- Warranty claims, weather data, and economic data - ANSWER-Web log data, call-center records, and
survey responses
A company in the renewable energy industry is working on a data analytics project to identify which
areas are more likely to adopt solar power. The data science team needs to gather relevant data sources
for this project. Which data sources are most relevant for a renewable energy company looking to
identify areas more likely to adopt solar power?
- Point-of-sale data, credit card charge records, and telephone call detail records - Web log data, e-
commerce server application logs, and call-center records
, - Medical insurance claims data, survey response data, and warranty claims data
- Census and economic data, hourly weather readings, and demographic data - ANSWER-Census and
economic data, hourly weather readings, and demographic data
Which tool is commonly used for data preparation?
- OpenRefine
- Tableau
-R
- SAS Enterprise Miner - ANSWER-OpenRefine
OpenRefine is a free, open-source tool for working with messy data, making it suitable for data
preparation tasks.
A popular travel booking platform receives a large volume of web traffic, GPS location data, and
usergenerated content from various sources. The data analytics team is preparing this data for analysis
to better understand customer behavior and preferences. Which tool would be most suitable for
preparing this data?
- Microsoft Excel
- Tableau - Hadoop
- Power BI - ANSWER-Hadoop
Hadoop is an open-source framework designed for the distributed processing of large datasets across
clusters of computers. It can handle massive parallel ingestion and custom analysis for web traffic
parsing, GPS location analytics, and combining unstructured data feeds from multiple sources. This
makes it the most suitable choice for this travel booking platform's data preparation needs.
Which sequence of steps should you follow during the data preparation phase?
- Set up sandbox, extract and transform data, condition data, explore visually
STUDY GUIDE NEWEST 2024-2025 ACTUAL EXAM 250
QUESTIONS AND CORRECT DETAILED ANSWERS (VERIFIED
ANSWERS) |ALREADY GRADED A+
A data analyst works at an e-commerce company that wants to understand its customer churn rate.
Their manager has tasked them with conducting a data analytics project to identify customers at risk of
churn and offer these customers targeted promotions to retain their business.What is the primary
purpose of the data analytics project's results in this scenario?
To optimize inventory management
To identify customer preferences
To compare the company's churn rate to industry benchmarks
To predict customer churn risk - ANSWER-To predict customer churn risk
A data analyst works at an e-commerce company that wants to understand its customer churn rate.
Their manager has tasked them with conducting a data analytics project to identify customers at risk of
churn and offer these customers targeted promotions to retain their business.What is the most suitable
form of deliverable in this scenario?
Supply chain improvements
Lists of at-risk customers
Monthly sales reports
Updated website design - ANSWER-Lists of at-risk customers
A retail company wants to improve its sales and customer satisfaction by analyzing customer data. The
company hired a data analytics team, which has access to the company's customer database, including
transaction records, demographic information, and customer feedback. The data analytics team will
work closely with the marketing and IT departments to create actionable insights for the company. The
team has three months to complete the project, and the company's budget allows purchasing additional
software tools or training, if necessary. What is the most critical resource for the data analytics project?
The company's inventory records
The company's financial statements
,The customer database
The employee records - ANSWER-The customer database
A retail company wants to improve its sales and customer satisfaction by analyzing customer data. The
company hired a data analytics team, which has access to the company's customer database, including
transaction records, demographic information, and customer feedback. The data analytics team will
work closely with the marketing and IT departments to create actionable insights for the company. The
team has three months to complete the project, and the company's budget allows purchasing additional
software tools or training, if necessary. Which constraint should impact the data analytics project the
most?
Limited budget for purchasing additional software tools
Insufficient time for comprehensive data analysis
Lack of collaboration between departments
Limited access to demographic data on customers - ANSWER-Insufficient time for comprehensive data
analysis
An online retail company wants to use data analytics to improve customer satisfaction and increase
sales. The company has collected data on customer behavior, purchase history, and customer support
interactions. Which outcome is most appropriate for the online retail company's data analytics project?
- Comparing the company's pricing strategy with competitors'
- Understanding the most popular products sold by the company
- Identifying the number of unique customers who visited the website in the past month
- Increasing customer satisfaction and sales through targeted recommendations and improved customer
support - ANSWER-Increasing customer satisfaction and sales through targeted recommendations
and improved customer support
Which phase of the data analytics lifecycle involves cleaning data, normalizing datasets, and performing
transformations? Data modeling
Data preparation
Data evaluation
,Data exploration - ANSWER-Data preparation
What is the primary purpose of the data preparation phase in a data analytics project?
To clean, normalize, and transform data
To build and refine predictive models
To visualize and explore data patterns
To evaluate the performance of models - ANSWER-To clean, normalize, and transform data
Which information tool is a possible source of data in a data analytics project?
Company logo designs
Consumer perception survey questions
Marketing slogans
Corporate information system - ANSWER-Corporate information system
Which data sources would be most relevant for analyzing factors affecting patient satisfaction in a
healthcare company?
- Web log data, call-center records, and survey responses - Printing press run records, noise levels, and
census data
- Credit card charge records, telephone call detail records, and point-of-sale data
- Warranty claims, weather data, and economic data - ANSWER-Web log data, call-center records, and
survey responses
A company in the renewable energy industry is working on a data analytics project to identify which
areas are more likely to adopt solar power. The data science team needs to gather relevant data sources
for this project. Which data sources are most relevant for a renewable energy company looking to
identify areas more likely to adopt solar power?
- Point-of-sale data, credit card charge records, and telephone call detail records - Web log data, e-
commerce server application logs, and call-center records
, - Medical insurance claims data, survey response data, and warranty claims data
- Census and economic data, hourly weather readings, and demographic data - ANSWER-Census and
economic data, hourly weather readings, and demographic data
Which tool is commonly used for data preparation?
- OpenRefine
- Tableau
-R
- SAS Enterprise Miner - ANSWER-OpenRefine
OpenRefine is a free, open-source tool for working with messy data, making it suitable for data
preparation tasks.
A popular travel booking platform receives a large volume of web traffic, GPS location data, and
usergenerated content from various sources. The data analytics team is preparing this data for analysis
to better understand customer behavior and preferences. Which tool would be most suitable for
preparing this data?
- Microsoft Excel
- Tableau - Hadoop
- Power BI - ANSWER-Hadoop
Hadoop is an open-source framework designed for the distributed processing of large datasets across
clusters of computers. It can handle massive parallel ingestion and custom analysis for web traffic
parsing, GPS location analytics, and combining unstructured data feeds from multiple sources. This
makes it the most suitable choice for this travel booking platform's data preparation needs.
Which sequence of steps should you follow during the data preparation phase?
- Set up sandbox, extract and transform data, condition data, explore visually
