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WGU C207 Data-Driven Decision Making (OA) – Partial Practice Examination 200 Questions and Correct Answers for the 2026 Objective Assessment This practice examination is organized according to the core competencies tested on the WGU C207 Objective Ass

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WGU C207 Data-Driven Decision Making (OA) – Partial Practice Examination 200 Questions and Correct Answers for the 2026 Objective Assessment This practice examination is organized according to the core competencies tested on the WGU C207 Objective Assessment (OA). Each question includes a detailed rationale to help you understand the reasoning behind the correct answer. The questions are drawn from verified test banks and study materials for the 2026 exam cycle.

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WGU C207 Data-Driven Decision Making (OA) – Partial Practice
Examination 200 Questions and Correct Answers for the 2026
Objective Assessment


This practice examination is organized according to the core competencies tested on the WGU
C207 Objective Assessment (OA). Each question includes a detailed rationale to help you
understand the reasoning behind the correct answer. The questions are drawn from verified test
banks and study materials for the 2026 exam cycle.



---



Section 1: Analytics and Decision-Making Foundations (Questions 1-30)



---



1. For companies to attract and retain their best customers, they need a complete portrait of
who they are. To develop this portrait, companies turn to:



a) Statistics

b) Analytics

c) Management Science

d) Histograms



Answer: b) Analytics



Explanation: Analytics allows companies to process and interpret data to understand customer
behavior. Statistics provides raw data, management science focuses on decision-making models,
and histograms are only a visual representation of data.

,---



2. A manufacturer wants to maximize factory output while specifically minimizing labor costs.
What type of analytics might they employ?



a) Descriptive Analytics

b) Predictive Analytics

c) Prescriptive Analytics

d) Diagnostic Analytics



Answer: c) Prescriptive Analytics



Explanation: Prescriptive analytics provides recommendations for optimal decisions. Descriptive
analytics summarizes data, predictive analytics forecasts trends, and diagnostic analytics
explains why outcomes occurred.



---



3. What is the third stage of Davenport and Kim's Three-Stage Model of quantitative decision
making?



a) Solving the problem

b) Framing the problem

c) Communicating results

d) Analyzing the data

,Answer: c) Communicating results



Explanation: The third stage in Davenport and Kim's Three-Stage model is communicating
results. The first stage is framing the problem, and the second is solving the problem.



---



4. A manager is looking at his previous quarter and determining the causes for a sudden sales
spike to gain a better understanding of actions and outcomes. Which kind of analytics would the
manager use?



a) Predictive Analytics

b) Prescriptive Analytics

c) Diagnostic Analytics

d) Descriptive Analytics



Answer: c) Diagnostic Analytics



Explanation: Diagnostic analytics is used to understand past performance by determining the
causes of outcomes. Descriptive analytics summarizes past data, predictive forecasts, and
prescriptive recommends actions.



---



5. Suppose you employed analytics to determine which sales territories had shown the most
profitable growth in the last four quarters and would most likely do so again in the future.
Which kind of analytics would you be using?

, a) Predictive

b) Prescriptive

c) Descriptive

d) Proactive



Answer: a) Predictive



Explanation: Using past information to make decisions about the future is called predictive
analytics. Prescriptive determines courses of action, and descriptive describes past
performance.



---



6. Suppose you were to use analytics to determine how many salespeople to assign to particular
sales territories based on the makeup and performance of the territories. You would be using
which kind of analytics?



a) Predictive

b) Prescriptive

c) Descriptive

d) Proactive



Answer: b) Prescriptive



Explanation: Prescriptive analytics determines a course of action. It uses optimization and
simulation algorithms to advise on possible outcomes.

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