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Updated: Aug 17, 2026

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WGU Data-Driven-Decision-Making Exam Overview:

Certification Vendor:Western Governors University (WGU)
Exam Name:Data-Driven Decision Making
Exam Number:VPC2, C207, MGMT 6010
Exam Duration:120 minutes
Real Exam Qty:70–75
Certificate Validity Period:Valid while enrolled; competency remains permanent
Exam Price:Included in tuition / No separate fee
Exam Format:Multiple-choice, Scenario-based, Conceptual & applied questions
Available Languages:English
Related Certifications:Bachelor of Science in Business Administration
Master of Business Administration (MBA)
Master of Science in Management and Leadership
Passing Score:Competency-based (Pass/Fail)
Recommended Training:Statistical Analysis with Excel
WGU Course Materials & Learning Resources
Exam Registration:WGU Student Portal
Sample Questions:WGU Data-Driven-Decision-Making Sample Questions
Exam Way:Online proctored (Proctorio); remote, at-home delivery
Pre Condition:No prior exams required; open to all enrolled students in eligible programs
Official Syllabus URL:https://www.wgu.edu/courses/c207-data-driven-decision-making.html

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

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

WGU VPC2Data-Driven Decision MakingC207 Sample Questions:

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


2. A hospital hires a third-party company to train its surgery team on the latest techniques and assess the team's current procedures in the operating room.
Which results-based management (RBM) stage is represented in this scenario?

A) Activities
B) Input
C) Output
D) Outcome


3. What are random errors caused by?

A) Biased data
B) Respondents favoring certain outcomes
C) An instrument that needs calibration
D) Unpredictable fluctuations in readings


4. What happens when an organization focuses on customers?

A) It decreases costs for the organization and its suppliers.
B) It leads to an increase in revenue and market share.
C) It reduces bias and fosters trust in decisions and plans.
D) It ensures consistency and efficiency among organization-wide activities.


5. What is the 80/20 rule associated with a Pareto chart?

A) Eighty percent of quality management problems can be explained by the other 20% of the problems.
B) Eighty percent of quality management problems result from 20% of causes.
C) Twenty percent of quality management problems result from 80% of causes.
D) Twenty percent of quality management problems can be explained by the other 80% of the problems.


Solutions:

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

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