WGU D491 Actual Exam Study Questions
with 100% Correct Answers Already
Graded A+ | Brand New Version
1. Data Analytics - ANSWER Use of data to provide insights and solve
problems.
2. Importance of Data Analytics - ANSWER Vital across industries like
healthcare, finance, marketing, and tech.
3. Goal of Data Analytics - ANSWER Improve decisions using data analysis,
trends, and predictions.
4. Database Administrator (DBA) - ANSWER Manages data systems.
5. Researchers - ANSWER Provide data insights.
6. Responsibilities of Researchers - ANSWER Form research questions,
review literature, design/execute studies, collect & analyze data, recommend
actions.
7. Partners - ANSWER External contributors (vendors, consultants).
8. Responsibilities of Partners - ANSWER Share expertise/resources,
collaborate on goals, meet deadlines, manage risks, communicate regularly.
,9. End Users - ANSWER Use the final product/service.
10.Responsibilities of End Users - ANSWER Give feature requirements, test &
give feedback, advocate for product, help with user documentation, provide
user data.
11.Stakeholders - ANSWER People/groups with interest in project outcomes.
12.Scope - ANSWER Project boundaries: goals, tasks, resources.
13.Project Sponsor - ANSWER Executive providing support, funds, and
strategic direction.
14.Project Manager - ANSWER Oversees planning, team, timeline, budget.
15.Financial Operations - ANSWER Manages budgeting, reporting, and
financial risk.
16.Database Administrator - ANSWER Manages secure, organized, accessible
data systems.
17.Data Analytics Lifecycle - ANSWER Six Phases: Discovery, Data
Preparation, Model Planning, Model Building, Communicate Results,
Operationalize.
18.Key Activities in Discovery - ANSWER Identify business objectives,
interview stakeholders and sponsor, frame the problem clearly, assess
available resources, form initial hypothesis, identify potential data sources.
, 19.Key Tasks in Data Preparation - ANSWER Create analytic sandbox, select
relevant data sources, profile, clean, and transform data, apply ELT (Extract,
Load, Transform).
20.Descriptive Analytics - ANSWER Summarize past data ('What happened?')
21.Diagnostic Analytics - ANSWER Find causes ('Why did it happen?')
22.Predictive Analytics - ANSWER Forecast future ('What might happen?')
23.Prescriptive Analytics - ANSWER Suggest actions ('What should we do?')
24.Exploratory Analytics - ANSWER Discover patterns without a set question
25.Data Analyst - ANSWER Main Goal: Turn raw data into insights.
26.Business Intelligence Analyst (BI Analyst) - ANSWER Main Goal: Inform
business decisions with data.
27.Decision Scientist - ANSWER Main Goal: Model decisions
mathematically.
28.Machine Learning Engineer - ANSWER Main Goal: Develop AI models for
predictions.
29.Data Engineer - ANSWER Main Goal: Build infrastructure for data use.
with 100% Correct Answers Already
Graded A+ | Brand New Version
1. Data Analytics - ANSWER Use of data to provide insights and solve
problems.
2. Importance of Data Analytics - ANSWER Vital across industries like
healthcare, finance, marketing, and tech.
3. Goal of Data Analytics - ANSWER Improve decisions using data analysis,
trends, and predictions.
4. Database Administrator (DBA) - ANSWER Manages data systems.
5. Researchers - ANSWER Provide data insights.
6. Responsibilities of Researchers - ANSWER Form research questions,
review literature, design/execute studies, collect & analyze data, recommend
actions.
7. Partners - ANSWER External contributors (vendors, consultants).
8. Responsibilities of Partners - ANSWER Share expertise/resources,
collaborate on goals, meet deadlines, manage risks, communicate regularly.
,9. End Users - ANSWER Use the final product/service.
10.Responsibilities of End Users - ANSWER Give feature requirements, test &
give feedback, advocate for product, help with user documentation, provide
user data.
11.Stakeholders - ANSWER People/groups with interest in project outcomes.
12.Scope - ANSWER Project boundaries: goals, tasks, resources.
13.Project Sponsor - ANSWER Executive providing support, funds, and
strategic direction.
14.Project Manager - ANSWER Oversees planning, team, timeline, budget.
15.Financial Operations - ANSWER Manages budgeting, reporting, and
financial risk.
16.Database Administrator - ANSWER Manages secure, organized, accessible
data systems.
17.Data Analytics Lifecycle - ANSWER Six Phases: Discovery, Data
Preparation, Model Planning, Model Building, Communicate Results,
Operationalize.
18.Key Activities in Discovery - ANSWER Identify business objectives,
interview stakeholders and sponsor, frame the problem clearly, assess
available resources, form initial hypothesis, identify potential data sources.
, 19.Key Tasks in Data Preparation - ANSWER Create analytic sandbox, select
relevant data sources, profile, clean, and transform data, apply ELT (Extract,
Load, Transform).
20.Descriptive Analytics - ANSWER Summarize past data ('What happened?')
21.Diagnostic Analytics - ANSWER Find causes ('Why did it happen?')
22.Predictive Analytics - ANSWER Forecast future ('What might happen?')
23.Prescriptive Analytics - ANSWER Suggest actions ('What should we do?')
24.Exploratory Analytics - ANSWER Discover patterns without a set question
25.Data Analyst - ANSWER Main Goal: Turn raw data into insights.
26.Business Intelligence Analyst (BI Analyst) - ANSWER Main Goal: Inform
business decisions with data.
27.Decision Scientist - ANSWER Main Goal: Model decisions
mathematically.
28.Machine Learning Engineer - ANSWER Main Goal: Develop AI models for
predictions.
29.Data Engineer - ANSWER Main Goal: Build infrastructure for data use.
