WGU D491 Exam Questions Answered Correctly Latest Update 2025-2026
Data Analytics - Answers Use of data to provide insights and solve problems.
Importance of Data Analytics - Answers Vital across industries like healthcare, finance,
marketing, and tech.
Goal of Data Analytics - Answers Improve decisions using data analysis, trends, and predictions.
Descriptive Analytics - Answers Summarize past data ('What happened?')
Diagnostic Analytics - Answers Find causes ('Why did it happen?')
Predictive Analytics - Answers Forecast future ('What might happen?')
Prescriptive Analytics - Answers Suggest actions ('What should we do?')
Exploratory Analytics - Answers Discover patterns without a set question
Data Analyst - Answers Main Goal: Turn raw data into insights.
Business Intelligence Analyst (BI Analyst) - Answers Main Goal: Inform business decisions with
data.
Decision Scientist - Answers Main Goal: Model decisions mathematically.
Machine Learning Engineer - Answers Main Goal: Develop AI models for predictions.
Data Engineer - Answers Main Goal: Build infrastructure for data use.
Data Scientist - Answers Main Goal: Solve business problems using data science.
KPI - Answers Tracks performance toward goals.
A/B Testing - Answers Compare two options for effectiveness.
Holdout Testing - Answers A/B testing where one group is a no-change control.
Algorithm - Answers A set of steps to solve a problem.
Variables - Answers Data containers for values.
Data Lakes - Answers Storage for large, raw data (structured/unstructured).
Stakeholders - Answers Individuals/groups affected by or able to affect a project.
Project Sponsor - Answers High-level executive ensuring project aligns with company goals.
Project Manager - Answers Leads day-to-day operations and bridges team and stakeholders.
, Financial Operations - Answers Manages project's financial health.
Database Administrator (DBA) - Answers Manages data systems.
Researchers - Answers Provide data insights.
Responsibilities of Researchers - Answers Form research questions, review literature,
design/execute studies, collect & analyze data, recommend actions.
Partners - Answers External contributors (vendors, consultants).
Responsibilities of Partners - Answers Share expertise/resources, collaborate on goals, meet
deadlines, manage risks, communicate regularly.
End Users - Answers Use the final product/service.
Responsibilities of End Users - Answers Give feature requirements, test & give feedback,
advocate for product, help with user documentation, provide user data.
Stakeholders - Answers People/groups with interest in project outcomes.
Scope - Answers Project boundaries: goals, tasks, resources.
Project Sponsor - Answers Executive providing support, funds, and strategic direction.
Project Manager - Answers Oversees planning, team, timeline, budget.
Financial Operations - Answers Manages budgeting, reporting, and financial risk.
Database Administrator - Answers Manages secure, organized, accessible data systems.
Data Analytics Lifecycle - Answers Six Phases: Discovery, Data Preparation, Model Planning,
Model Building, Communicate Results, Operationalize.
Phase 1: Discovery - Answers Purpose: Understand business problem, define scope.
Key Activities in Discovery - Answers Identify business objectives, interview stakeholders and
sponsor, frame the problem clearly, assess available resources, form initial hypothesis, identify
potential data sources.
Phase 2: Data Preparation - Answers Purpose: Prepare relevant data for mining.
Key Tasks in Data Preparation - Answers Create analytic sandbox, select relevant data sources,
profile, clean, and transform data, apply ELT (Extract, Load, Transform).
Common Tools in Data Preparation - Answers Hadoop, OpenRefine, Alpine Miner, Data Wrangler.
Phase 3: Model Planning - Answers Purpose: Select best model(s) and plan analysis.
Data Analytics - Answers Use of data to provide insights and solve problems.
Importance of Data Analytics - Answers Vital across industries like healthcare, finance,
marketing, and tech.
Goal of Data Analytics - Answers Improve decisions using data analysis, trends, and predictions.
Descriptive Analytics - Answers Summarize past data ('What happened?')
Diagnostic Analytics - Answers Find causes ('Why did it happen?')
Predictive Analytics - Answers Forecast future ('What might happen?')
Prescriptive Analytics - Answers Suggest actions ('What should we do?')
Exploratory Analytics - Answers Discover patterns without a set question
Data Analyst - Answers Main Goal: Turn raw data into insights.
Business Intelligence Analyst (BI Analyst) - Answers Main Goal: Inform business decisions with
data.
Decision Scientist - Answers Main Goal: Model decisions mathematically.
Machine Learning Engineer - Answers Main Goal: Develop AI models for predictions.
Data Engineer - Answers Main Goal: Build infrastructure for data use.
Data Scientist - Answers Main Goal: Solve business problems using data science.
KPI - Answers Tracks performance toward goals.
A/B Testing - Answers Compare two options for effectiveness.
Holdout Testing - Answers A/B testing where one group is a no-change control.
Algorithm - Answers A set of steps to solve a problem.
Variables - Answers Data containers for values.
Data Lakes - Answers Storage for large, raw data (structured/unstructured).
Stakeholders - Answers Individuals/groups affected by or able to affect a project.
Project Sponsor - Answers High-level executive ensuring project aligns with company goals.
Project Manager - Answers Leads day-to-day operations and bridges team and stakeholders.
, Financial Operations - Answers Manages project's financial health.
Database Administrator (DBA) - Answers Manages data systems.
Researchers - Answers Provide data insights.
Responsibilities of Researchers - Answers Form research questions, review literature,
design/execute studies, collect & analyze data, recommend actions.
Partners - Answers External contributors (vendors, consultants).
Responsibilities of Partners - Answers Share expertise/resources, collaborate on goals, meet
deadlines, manage risks, communicate regularly.
End Users - Answers Use the final product/service.
Responsibilities of End Users - Answers Give feature requirements, test & give feedback,
advocate for product, help with user documentation, provide user data.
Stakeholders - Answers People/groups with interest in project outcomes.
Scope - Answers Project boundaries: goals, tasks, resources.
Project Sponsor - Answers Executive providing support, funds, and strategic direction.
Project Manager - Answers Oversees planning, team, timeline, budget.
Financial Operations - Answers Manages budgeting, reporting, and financial risk.
Database Administrator - Answers Manages secure, organized, accessible data systems.
Data Analytics Lifecycle - Answers Six Phases: Discovery, Data Preparation, Model Planning,
Model Building, Communicate Results, Operationalize.
Phase 1: Discovery - Answers Purpose: Understand business problem, define scope.
Key Activities in Discovery - Answers Identify business objectives, interview stakeholders and
sponsor, frame the problem clearly, assess available resources, form initial hypothesis, identify
potential data sources.
Phase 2: Data Preparation - Answers Purpose: Prepare relevant data for mining.
Key Tasks in Data Preparation - Answers Create analytic sandbox, select relevant data sources,
profile, clean, and transform data, apply ELT (Extract, Load, Transform).
Common Tools in Data Preparation - Answers Hadoop, OpenRefine, Alpine Miner, Data Wrangler.
Phase 3: Model Planning - Answers Purpose: Select best model(s) and plan analysis.
