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