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WGU D491 Exam 2026 | Introduction to Analytics Exam | All Questions and Correct Answers (Detailed Answers) | Western Governors University

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The WGU D491 Exam 2026 PDF provides a comprehensive guide for students preparing for the Introduction to Analytics exam at Western Governors University. This document is an invaluable resource, offering all questions and correct answers, including detailed explanations, to ensure thorough understanding and preparation. Key topics covered in the exam include the primary purpose of the discovery phase in the data science process, which is to understand the business problem and develop initial hypotheses. This phase is crucial for investigating issues, gaining a deeper understanding of the context, and formulating initial ideas for testing with data. The document also explains the ETLT process, standing for Extract, Transform, Load, Transform, highlighting its importance in data analytics.

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Uploaded on
September 4, 2025
Number of pages
75
Written in
2025/2026
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WGU D491 Exam 2026 | Introduction to Analytics
Exam | All Questions and Correct Answers
(Detailed Answers) | Western Governors
University

What is the primary purpose of the discovery phase in the data science process?
-To develop interactive visualizations for stakeholder presentations
-To evaluate and optimize data-driven predictive models
-To clean and preprocess the data for analysis
-To understand the business problem and develop initial hypotheses ---------
CORRECT ANSWER-----------------To understand the business problem and develop
initial hypotheses. (This phase focuses on investigating the issue, gaining a deeper
understanding of the context, learning about available data sources, and
formulating initial ideas that will be tested using data.)




ETLT ---------CORRECT ANSWER-----------------Extract, Transform, Load, Transform




Which question of interest is appropriate for a data analytics project to increase a
store's sales?
-Which customer segments will most likely respond to a marketing campaign?
-Should the store expand to a new location?
-How can the store's social media presence be improved?

,-What are the store's best-selling products? ---------CORRECT ANSWER----------------
-Which customer segments will most likely respond to a marketing campaign?
(This question focuses on identifying customer segments most likely to respond
positively to a marketing campaign, directly addressing the goal of increasing
sales. By targeting the right customer segments, the store can optimize its
marketing efforts and increase its overall sales.)




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 identify customer preferences
-To predict customer churn risk
-To optimize inventory management
-To compare the company's churn rate to industry benchmarks ---------CORRECT
ANSWER-----------------To predict customer churn risk (The project aims to predict
which customers are likely to leave the company so that targeted promotions can
be offered to retain their business.)




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?

,-Updated website design
-Supply chain improvements
-Lists of at-risk customers
-Monthly sales reports ---------CORRECT ANSWER-----------------Lists of at-risk
customers (Providing a list of at-risk customers for targeted marketing campaigns
can help retain their business and prevent revenue loss.)




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 financial statements
-The employee records
-The customer database
-The company's inventory records ---------CORRECT ANSWER-----------------The
customer database (Access to the customer database is crucial to analyze
customer data, including transactions, demographics, and feedback, which will
help the team create actionable insights to improve sales and satisfaction.)




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? -Insufficient
time for comprehensive data analysis
-Limited budget for purchasing additional software tools
-Limited access to demographic data on customers
-Lack of collaboration between departments ---------CORRECT ANSWER---------------
--Insufficient time for comprehensive data analysis (Insufficient time for
comprehensive data analysis could lead to incomplete or superficial insights,
affecting the project's overall effectiveness.)




What component of a data analytics project is typically completed by a data
analyst?
-To clean and preprocess data to prepare it for analysis
-To design and implement machine learning algorithms
-To collect and store data for the organization
-To make decisions based on the insights derived from data analysis ---------
CORRECT ANSWER-----------------To clean and preprocess data to prepare it for
analysis (This involves collecting data from various sources, cleaning it, and
transforming it into a format that can be used for analysis.)




Which task is the data analyst responsible for within a data analysis project?
-Creating the project's overall goals and objectives

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