Data-Driven-Decision-Making信息資訊,Data-Driven-Decision-Making考試資訊

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

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

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最新的 Courses and Certificates Data-Driven-Decision-Making 免費考試真題 (Q101-Q106):

問題 #101
What are two qualities of key performance indicators (KPIs)?
Choose 2 answers.

答案:C,D

解題說明:
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.


問題 #102
An analyst used multiple linear regression to show how a big box store's sales (y) are predicted by the big box store's advertising expenditure in dollars (variable x1) and the advertising expenditure in dollars of a specialty store (variable x2) in the same market. The estimated regression is y = 651.57 + 92.30x1 # 26.89x2. How are advertising expenditures and sales related in this scenario?

答案:C


問題 #103
How should Ishikawa's seven basic tools of quality be used?
Choose 2 answers.

答案:A,C

解題說明:
Ishikawa's seven basic tools of quality are designed to support practical problem-solving and continuous improvement across all levels of an organization. These tools are most effective when used in combination and when the output from one tool serves as the input for another. For example, a check sheet can be used to collect defect data, which can then be summarized in a Pareto chart, and the findings may later be explored further with a cause-and-effect diagram. This interconnected use is one of the reasons the tools are so widely valued in quality management. The statement that the tools should only be used by high-level managers is incorrect because one of their strengths is accessibility; they are intended to be understandable and usable by ordinary workers as well as supervisors and analysts. The statement about recognizing trends within only one graph is also too restrictive and does not describe the broader practical use of the tools. Therefore, the correct answers are that the output from one tool can become another tool's input and that the tools can be used together.


問題 #104
Which process is considered a statistical process control activity?

答案:C

解題說明:
Statistical process control involves using statistical methods to monitor, control, and improve production processes. A central purpose of this approach is to determine whether a process is operating within acceptable variation limits. Therefore, determining if the precision of a manufactured product is within a tolerable range is a direct example of statistical process control. This type of activity uses measured data to evaluate consistency, detect abnormal variation, and maintain quality standards. Evaluating consumer complaints may provide useful quality feedback, but it is not the direct statistical monitoring activity described by process control methods. Aligning marketing strategy with manufacturing capabilities is a business planning issue rather than a process control task. Forecasting future consumer demand is a forecasting and analytics activity, not statistical process control. The defining feature of statistical process control is monitoring production behavior using measurable process data and tolerance limits. Therefore, the correct answer is the option that focuses on determining whether the manufactured product's precision remains within an acceptable range.


問題 #105
What is a disadvantage of using a balanced scorecard?

答案:A

解題說明:
A key disadvantage of using abalanced scorecardis that itrequires significant time and effort to develop a meaningful and effective template. In data-driven decision making, the value of a balanced scorecard depends on careful selection of performance measures that align with organizational strategy.
Developing a balanced scorecard involves defining strategic objectives, selecting appropriate metrics, setting targets, and ensuring data availability. This process can be resource-intensive, especially in large or complex organizations. However, once implemented, the balanced scorecard offers substantial long-term benefits.
The other options are incorrect because the balanced scorecard explicitly includes both financial and nonfinancial measures and is designed to link operations with strategy. While implementation may involve some cost, expense alone is not typically cited as its primary disadvantage.
Therefore, the correct answer isA.


問題 #106
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