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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q11-Q16):

NEW QUESTION # 11
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 # 12
Two project teams are assigned to upgrade an on-premise data warehouse to a cloud-based data lake in 13 months. The infrastructure team has five team members, while the enterprise analytics team has three team members. The enterprise analytics team cannot move into production until the infrastructure team has completed the migration.
What should be used to find the probability that the project will be completed on time?

  • A. Bayes' theorem
  • B. Conditional probability
  • C. Multiplication principle
  • D. Combination

Answer: B

Explanation:
This scenario requires the use of **conditional probability**, which applies when the likelihood of one event depends on the occurrence of another event. In data-driven decision making, conditional probability is used to model dependent events within processes, workflows, and project timelines.
In this case, the enterprise analytics team's ability to move into production is **dependent on** the infrastructure team completing the migration. Because one event cannot occur unless another event has already occurred, the probability of completing the project on time must account for this dependency.
The multiplication principle applies to independent events, Bayes' theorem updates probabilities based on new information, and combinations are used for counting outcomes, not dependency analysis. Conditional probability explicitly captures the relationship between dependent tasks.
Project risk analysis and scheduling often rely on conditional probability to assess completion likelihood when tasks are sequentially linked. Therefore, the correct answer is **C**, conditional probability.


NEW QUESTION # 13
What are two qualities of key performance indicators (KPIs)?
Choose 2 answers.

  • A. They often follow SMART criteria.
  • B. They require little to no ongoing maintenance.
  • C. They can be used as a tool for internal benchmarking.
  • D. They are flexible and easily changed.

Answer: A,C

Explanation:
Key performance indicators (KPIs) are designed to measure progress toward strategic objectives. In data- driven decision making, effective KPIs arestable, meaningful, and aligned with organizational goalsrather than frequently changing.
One important quality of KPIs is that theycan be used for internal benchmarking, allowing organizations to compare performance across departments, time periods, or projects. This helps identify best practices and performance gaps.
Another defining characteristic is that KPIs often followSMART criteria-Specific, Measurable, Achievable, Relevant, and Time-bound. These criteria ensure KPIs are clearly defined and actionable.
KPIs are not meant to be easily changed, as frequent changes undermine consistency and comparability. They also require ongoing monitoring and maintenance to remain relevant and accurate.
Therefore, the correct answers areB and D.


NEW QUESTION # 14
What is the purpose of the quality management principle of dedication to fact-based decision-making?

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

Answer: B

Explanation:
The principle offact-based decision-makingemphasizes using reliable data and objective analysis rather than intuition or opinion. In data-driven decision making, this principle exists primarily toreduce bias and increase trust in organizational plans and decisions.
When decisions are grounded in verified data, assumptions are challenged, personal biases are minimized, and outcomes are more predictable. This builds confidence among stakeholders and supports transparency and accountability.
Customer loyalty, waste elimination, and quality effectiveness may be indirect benefits, but the core purpose is ensuring that decisions are objective, defensible, and evidence-based. Therefore, the correct answer isD.


NEW QUESTION # 15
Why would a human resources department use both mean and median when doing a salary evaluation of a department?

  • A. A large difference between mean and median shows there are outliers to assess.
  • B. A large difference between mean and median shows a miscalculation in the analysis.
  • C. A large difference between mean and median shows an abnormal standard deviation.
  • D. A large difference between mean and median shows that some employees need raises.

Answer: A

Explanation:
Using both mean and median helps identifyoutliers, such as very high executive salaries that skew the average. A large difference between the two indicates uneven distribution.
Thus, the correct answer isC.


NEW QUESTION # 16
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