WGU Data-Driven-Decision-Making : VPC2Data-Driven Decision MakingC207

Data-Driven-Decision-Making real exams

Exam Code: Data-Driven-Decision-Making

Exam Name: VPC2Data-Driven Decision MakingC207

Updated: Aug 06, 2026

Q & A: 125 Questions and Answers

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WGU Data-Driven-Decision-Making Exam Syllabus Topics:

SectionWeightObjectives
Statistical Concepts & Descriptive Analytics25%- Data types, measurement scales, sampling methods
- Data visualization: charts, graphs, dashboards
- Measures of central tendency, dispersion, distribution
Foundations of Data-Driven Decision Making20%- Role of data in business decisions
- Types of analytics: descriptive, predictive, prescriptive
- Ethics, privacy, and data governance
Decision Models & Prescriptive Analytics15%- Optimization, sensitivity analysis
- Quality & process improvement tools
- Decision trees, payoff matrices, expected value
Probability & Statistical Inference20%- Hypothesis testing, p-values, confidence intervals
- Probability rules, distributions, expected value
- Correlation vs. causation
Predictive Analytics & Regression20%- Forecasting & trend analysis
- Simple & multiple linear regression
- Interpreting coefficients, R-squared, significance

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

1. A county government wants to start a cost-effective recycling program. How can the county apply data analytic approaches to attain this goal?

A) By aligning fund allocations with the number of department employees
B) By conducting best practices research regarding audit performance
C) By analyzing budgetary impacts of county contracts
D) By benchmarking similar strategies of other counties


2. What is the purpose of the quality management principle of dedication to fact-based decision-making?

A) Increase loyalty from customers and suppliers.
B) Reduce bias driven by increased trust in plans.
C) Increase the effectiveness from quality practices.
D) Eliminate anything that does not add value.


3. What is an advantage of a balanced scorecard?

A) It emphasizes strategy and organizational results.
B) It requires little effort to establish a meaningful dashboard.
C) It requires minimal data.
D) It increases the amount of available data to analyze.


4. A plant manager wants to compare the production output for three assembly lines. Why is ANOVA the correct analysis technique to use for this scenario?

A) ANOVA can determine which assembly line has the most output.
B) ANOVA can determine the reason one assembly line outperforms the others.
C) ANOVA can determine the rate at which production is completed for each assembly line.
D) ANOVA can determine whether there is a significant difference in the output among the assembly lines.


5. Why are sample sizes important for ensuring statistical significance?

A) So that accurate conclusions can be confidently applied to larger populations
B) So that no additional analysis is required
C) So that the possibility of researcher bias is eliminated
D) So that a hypothesis cannot be misinterpreted


Solutions:

Question # 1
Answer: D
Question # 2
Answer: B
Question # 3
Answer: A
Question # 4
Answer: D
Question # 5
Answer: A

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