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

SectionObjectives
Data-Driven Culture and Communication- Stakeholder Communication
- Ethical Considerations in Data Use
- Presenting Data Insights
- Building Data-Informed Organizations
Decision-Making Frameworks- Risk Analysis and Assessment
- Cost-Benefit Analysis
- Evidence-Based Decision Making
- Rational Decision Models
Data Analysis Fundamentals- Descriptive Statistics
- Data Types and Measurement Scales
- Data Visualization Techniques
- Data Quality and Cleaning
Business Intelligence and Analytics- Predictive Analytics Basics
- Data Mining Concepts
- Dashboards and Reporting
- Key Performance Indicators (KPIs)

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WGU VPC2Data-Driven Decision MakingC207 Sample Questions (Q103-Q108):

NEW QUESTION # 103
A company's marketing team tells an analyst that fewer customers are opening emails in the recent email campaign. The analyst interviews a few marketing coordinators and discovers changes were made to the email subject line between the earlier successful email campaign and the recent one. The analyst then uses a statistical technique to compare the email open rates for each campaign. Which step does the comparison of the email open rate represent in the plan-do-check-act cycle?

Answer: A

Explanation:
The plan-do-check-act cycle is a continuous improvement framework used in quality management and process improvement. In this scenario, the comparison of email open rates represents the check stage. After identifying a possible cause of the problem, the analyst uses a statistical technique to evaluate results and determine whether the changes in subject lines are associated with lower open rates. The check step is where performance is measured, reviewed, and compared against expectations or prior outcomes. The plan stage would involve deciding what change or test to make. The do stage would involve implementing the campaign or the revised subject line. The act stage would involve standardizing the successful change or making further adjustments based on the findings. Because the analyst is examining and comparing the results of the campaigns, this clearly aligns with the check phase. Therefore, the correct answer is check.


NEW QUESTION # 104
What classifies analytics as descriptive, predictive, or prescriptive?

Answer: C

Explanation:
Analytics is classified as descriptive, predictive, or prescriptive based onthe purpose of the analysis and the methods used to carry it out, which is a foundational concept in data-driven decision making. The distinction reflects the type of managerial question being addressed rather than technical aspects such as software tools, sample size, or data reliability.
Descriptive analytics focuses on understandingwhat has happenedby summarizing historical data. It relies on descriptive statistics, reports, dashboards, and data visualizations to provide insights into past performance.
Predictive analytics extends this approach to determinewhat is likely to happenby using statistical models, probability distributions, regression analysis, and forecasting techniques to estimate future outcomes.
Prescriptive analytics goes further by identifyingwhat should be doneto achieve desired results. It uses optimization models, decision trees, simulations, and scenario analysis to recommend the best course of action under given constraints.
In data-driven decision making, the classification of analytics depends on how results are intended to support decisions and the analytical techniques applied to achieve that goal. Factors such as data quality and software influence accuracy and efficiency but do not define the analytics category itself. Therefore, the correct classification criterion is thepurpose and methods, making optionCthe correct answer.


NEW QUESTION # 105
A major hospital system wants to improve its level of patient satisfaction. Management has recently asked patients to complete a survey as part of the discharge process. From this survey, a net promoter score is derived and tracked over time. What does a net promoter score reveal?

Answer: D

Explanation:
A net promoter score reveals the strength of an organization's customer relations by measuring how likely customers are to recommend the organization to others. In a hospital setting, patients are the relevant customer group, and their willingness to recommend the hospital reflects satisfaction, trust, and overall experience. Because the score is tracked over time, management can use it as an indicator of whether customer relationships are improving or declining. A higher net promoter score generally suggests stronger loyalty and more positive perceptions, while a lower score may indicate service or quality concerns. The score is not about how management feels about employees, nor is it used to track employee advancement. It may be influenced indirectly by marketing, but it does not primarily measure advertising campaign effectiveness. Its main purpose is to provide a clear signal about customer loyalty and relationship strength. Therefore, the correct answer is the strength of an organization's customer relations.


NEW QUESTION # 106
Which step in the plan-do-check-act cycle is described as analyzing the results of an experiment and deciding whether those results can be improved?

Answer: A

Explanation:
TheCheckphase of the Plan-Do-Check-Act (PDCA) cycle involves evaluating outcomes and analyzing results. In data-driven decision making, this step compares actual performance against expected results to determine whether objectives were met.
During the Check phase, organizations review data, assess variation, and identify opportunities for improvement. Planning defines objectives, Doing implements changes, and Acting standardizes or adjusts processes based on evaluation.
Therefore, the correct answer isA, Check.


NEW QUESTION # 107
What results from starting an analysis with flawed data?
Choose 2 answers.

Answer: B,C

Explanation:
Starting an analysis with flawed data significantly undermines the effectiveness of data-driven decision making. One major consequence is that more time is spent managing data than analyzing data. Analysts must devote substantial effort to cleaning, validating, and correcting errors before meaningful analysis can occur, delaying insights and increasing costs.
Another critical result is that missing data tend to skew the results of the analysis. Incomplete data can distort averages, trends, and statistical relationships, leading to biased conclusions and unreliable decisions. This is especially problematic in predictive and inferential analytics, where assumptions about data completeness are essential.
Using spreadsheets or placing data in charts does not inherently result from flawed data, nor does it resolve data quality issues. While visualization can help identify errors, it is not a direct outcome of starting with flawed data.
Data-driven decision making emphasizes that poor-quality input leads to poor-quality output. Ensuring data accuracy and completeness before analysis is essential for producing valid insights. Therefore, the correct answers are B and D.


NEW QUESTION # 108
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