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[General] Data-Driven-Decision-Making Exam Discount Voucher | Mock Data-Driven-Decision-Ma

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【General】 Data-Driven-Decision-Making Exam Discount Voucher | Mock Data-Driven-Decision-Ma

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q28-Q33):NEW QUESTION # 28
What is the primary goal of Six Sigma?
  • A. Providing collaborative planning, forecasting, and replenishment
  • B. Fostering a commitment to continuous improvement
  • C. Demonstrating strong management leadership
  • D. Furthering a commitment to the SIPOC process
Answer: B
Explanation:
The primary goal ofSix Sigmais tofoster a commitment to continuous improvementby systematically reducing defects and process variation. In data-driven decision making, Six Sigma uses statistical methods to improve quality, efficiency, and consistency across organizational processes.
Six Sigma emphasizes disciplined problem-solving through data analysis, root-cause identification, and process control. While reducing defects to 3.4 per million opportunities is a hallmark metric, the broader objective is embedding continuous improvement into organizational culture.
SIPOC is a supporting tool, leadership is a contributing factor, and collaborative planning forecasting and replenishment relates to supply chain management, not Six Sigma's core purpose.
Therefore, the correct answer isD.

NEW QUESTION # 29
How do analytics help an organization?
  • A. They increase employees' use of information systems.
  • B. They assist with investment management.
  • C. They develop fact-based strategies.
  • D. They use data to persuade consumers.
Answer: C
Explanation:
Analytics help organizations primarily by enabling the development offact-based strategies, which is a central principle of data-driven decision making. Rather than relying on intuition, assumptions, or anecdotal evidence, analytics allows organizations to systematically analyze data to understand performance, identify opportunities, manage risks, and support strategic decisions.
Through descriptive analytics, organizations gain insight into historical performance andoperational efficiency. Predictive analytics enables them to anticipate future trends, customer behavior, and potential outcomes. Prescriptive analytics further supports decision-making by recommending optimal actions under various constraints. Together, these approaches transform raw data into actionable insights that guide strategic planning and execution.
While analytics may support investment management, marketing, or information systems usage, these are specific applications, not the fundamental organizational benefit. Analytics is not primarily used to persuade consumers, nor is its main objective to increase system usage among employees. Instead, its value lies in improving decision quality by grounding strategies in empirical evidence.
In data-driven decision-making frameworks, analytics serves as a structured approach to aligning data, models, and business objectives. By developing strategies based on verified data and analytical methods, organizations reduce uncertainty, improve performance, and gain competitive advantage. Therefore, the correct answer isC, as analytics enable organizations to developfact-based strategies.

NEW QUESTION # 30
A car dealership sells both new and used cars. The number of new cars sold on a given day ranges from 5 to
30 while the number of used cars sold ranges from 5 to 40. The number of used cars sold is mutually exclusive to the number of new cars sold.
Which statistic would be used to compare the number of new and used car sales on any given day?
  • A. Z-score
  • B. F-statistic
  • C. R-squared
  • D. Chi-square
Answer: D
Explanation:
Thechi-square statisticis used to compare frequencies of categorical, mutually exclusive outcomes. In data- driven decision making, it is appropriate for analyzing differences between observed counts.
New and used car sales represent mutually exclusive categories, making chi-square the correct choice.
Therefore, the correct answer isB.

NEW QUESTION # 31
Which distribution would have a mean and median that are approximately equal after an analysis of each employee's number of customer service calls over the last month?
  • A. Normal distribution
  • B. Bimodal distribution
  • C. Multimodal distribution
  • D. Pareto distribution
Answer: A
Explanation:
In anormal distribution, data is symmetrically distributed around the center, causing the mean and median to be approximately equal. This is a fundamental property emphasized in data-driven decision making.
Skewed distributions, such as Pareto, cause the mean and median to differ significantly. Therefore, the correct answer isA.

NEW QUESTION # 32
Why is choosing appropriate performance indicators important for data-driven decision-making?
  • A. They satisfy governmental regulations.
  • B. They are a key part of an organization's rules and bylaws.
  • C. They convince employees that they are equally as important as their managers.
  • D. They align with an organization's definition of success.
Answer: D
Explanation:
Performance indicators guide behavior, priorities, and decision-making. In data-driven decision making, selecting theright indicators ensures alignment with an organization's definition of success. Metrics determine what is measured, monitored, and improved.
If indicators are poorly chosen, organizations may optimize the wrong outcomes, leading to unintended consequences. Well-aligned indicators translate strategic goals into measurable targets and ensure that analytics support meaningful results.
Rules, motivation, and compliance may be secondary effects, but the primary purpose of performance indicators is strategic alignment. Therefore, the correct answer isC.

NEW QUESTION # 33
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