1
WGU D491 Exam 2026 | Introduction to Analytics
Exam | All Questions and Correct Answers (Detailed
Answers) | Western Governors University
Data Analytics - (ANSWER)Use of data to provide insights and solve problems.
Importance of Data Analytics - (ANSWER)Vital across industries like healthcare,
finance, marketing, and tech.
Goal of Data Analytics - (ANSWER)Improve decisions using data analysis, trends,
and predictions.
Descriptive Analytics - (ANSWER)Summarize past data ('What happened?')
Diagnostic Analytics - (ANSWER)Find causes ('Why did it happen?')
Predictive Analytics - (ANSWER)Forecast future ('What might happen?')
Prescriptive Analytics - (ANSWER)Suggest actions ('What should we do?')
Exploratory Analytics - (ANSWER)Discover patterns without a set question
, 2
Data Analyst - (ANSWER)Main Goal: Turn raw data into insights.
Business Intelligence Analyst (BI Analyst) - (ANSWER)Main Goal: Inform business
decisions with data.
Decision Scientist - (ANSWER)Main Goal: Model decisions mathematically.
Machine Learning Engineer - (ANSWER)Main Goal: Develop AI models for
predictions.
Data Engineer - (ANSWER)Main Goal: Build infrastructure for data use.
Data Scientist - (ANSWER)Main Goal: Solve business problems using data science.
KPI - (ANSWER)Tracks performance toward goals.
A/B Testing - (ANSWER)Compare two options for effectiveness.
, 3
Holdout Testing - (ANSWER)A/B testing where one group is a no-change control.
Algorithm - (ANSWER)A set of steps to solve a problem.
Variables - (ANSWER)Data containers for values.
Data Lakes - (ANSWER)Storage for large, raw data (structured/unstructured).
Stakeholders - (ANSWER)Individuals/groups affected by or able to affect a
project.
Project Sponsor - (ANSWER)High-level executive ensuring project aligns with
company goals.
Project Manager - (ANSWER)Leads day-to-day operations and bridges team and
stakeholders.
Financial Operations - (ANSWER)Manages project's financial health.
WGU D491 Exam 2026 | Introduction to Analytics
Exam | All Questions and Correct Answers (Detailed
Answers) | Western Governors University
Data Analytics - (ANSWER)Use of data to provide insights and solve problems.
Importance of Data Analytics - (ANSWER)Vital across industries like healthcare,
finance, marketing, and tech.
Goal of Data Analytics - (ANSWER)Improve decisions using data analysis, trends,
and predictions.
Descriptive Analytics - (ANSWER)Summarize past data ('What happened?')
Diagnostic Analytics - (ANSWER)Find causes ('Why did it happen?')
Predictive Analytics - (ANSWER)Forecast future ('What might happen?')
Prescriptive Analytics - (ANSWER)Suggest actions ('What should we do?')
Exploratory Analytics - (ANSWER)Discover patterns without a set question
, 2
Data Analyst - (ANSWER)Main Goal: Turn raw data into insights.
Business Intelligence Analyst (BI Analyst) - (ANSWER)Main Goal: Inform business
decisions with data.
Decision Scientist - (ANSWER)Main Goal: Model decisions mathematically.
Machine Learning Engineer - (ANSWER)Main Goal: Develop AI models for
predictions.
Data Engineer - (ANSWER)Main Goal: Build infrastructure for data use.
Data Scientist - (ANSWER)Main Goal: Solve business problems using data science.
KPI - (ANSWER)Tracks performance toward goals.
A/B Testing - (ANSWER)Compare two options for effectiveness.
, 3
Holdout Testing - (ANSWER)A/B testing where one group is a no-change control.
Algorithm - (ANSWER)A set of steps to solve a problem.
Variables - (ANSWER)Data containers for values.
Data Lakes - (ANSWER)Storage for large, raw data (structured/unstructured).
Stakeholders - (ANSWER)Individuals/groups affected by or able to affect a
project.
Project Sponsor - (ANSWER)High-level executive ensuring project aligns with
company goals.
Project Manager - (ANSWER)Leads day-to-day operations and bridges team and
stakeholders.
Financial Operations - (ANSWER)Manages project's financial health.
