真實的Data-Driven-Decision-Making考題資源 |高通過率的考試材料|高效的Data-Driven-Decision-Making：VPC2Data-Driven Decision MakingC207您可以先在網上下載PDFExamDumps為你免費提供的關於WGU Data-Driven-Decision-Making認證考試的練習題及答案作為嘗試，之後你會覺得PDFExamDumps給你通過考試提供了一顆定心丸。選擇PDFExamDumps為你提供的針對性培訓，你可以很輕鬆通過WGU Data-Driven-Decision-Making 認證考試。 最新的 Courses and Certificates Data-Driven-Decision-Making 免費考試真題 (Q60-Q65):問題 #60
What is the basic difference between evaluating costs and benefits in the public and private sectors?
A. The costs associated with public projects are minimal.
B. The benefit of private projects is general public welfare.
C. The benefits of public projects are easily quantifiable.
D. Private projects generate considerable revenue.
答案：D
解題說明：
The fundamental difference between cost-benefit evaluation in the public and private sectors lies inhow benefits are defined and measured. In data-driven decision making, private-sector projects primarily focus onrevenue generation and profitability, making optionCthe correct distinction.
Private organizations evaluate benefits using measurable financial outcomes such as revenue, profit margins, and return on investment. These metrics provide clear, quantifiable indicators of success. In contrast, public- sector projects often aim to maximizegeneral public welfare, including social, environmental, and economic benefits that are more difficult to quantify monetarily.
Public-sector benefits may include improved public health, safety, education, or trust in government- outcomes that do not translate directly into revenue. Therefore, while costs are measurable in both sectors, benefits differ substantially in nature.
Options A and B are incorrect because public-sector costs are not minimal and public benefits are often difficult to quantify. Option D incorrectly assigns public welfare to private projects. Thus, the correct answer isC.
問題 #61
How should a marketing consulting firm perform a cluster analysis for a new granola bar?
A. Determine competitor benchmarks and forecasts for comparison
B. Determine whether there are any granola bar sales trends
C. Determine the reasons for consumer granola bar purchases
D. Determine the different segments or groups to target
答案：D
問題 #62
A county government must increase trust among voters that their tallying machines are accurately calibrated to count their votes. Each department is tasked with creating an online marketing campaign; however, the budget for these campaigns is limited.
How can the county apply data analytic approaches to allocate funds to each department?
A. By surveying employees on polling strategies
B. By benchmarking the voter turnout rates in each county
C. By measuring the number of voter complaints per department
D. By surveying the county controllers
答案：C
解題說明：
Allocating limited resources effectively requires identifying where needs and risks are greatest. In data-driven decision making,measuring voter complaints per departmentprovides a direct, objective indicator of trust issues and communication gaps.
Departments with higher complaint volumes may require greater outreach to restore voter confidence. Using this metric allows funds to be allocated where they will have the greatest impact. Benchmarking turnout rates does not isolate departmental needs, and surveys of controllers or employees introduce subjectivity rather than evidence-based prioritization.
Therefore, the correct answer isA.
問題 #63
What results from starting an analysis with flawed data?
Choose 2 answers.
A. Missing data tend to skew the results of the analysis.
B. Spreadsheets must be used to increase the likelihood of analyzing the flawed data.
C. Data must be put in a table or a chart so that errors can be more easily detected.
D. More time is spent managing data than analyzing data.
答案：A,D
解題說明：
Starting an analysis with flawed data significantly undermines the effectiveness of data-driven decision making. One major consequence is thatmore 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 thatmissing 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 areB and D.
問題 #64
A manager has been assigned to manage a digital marketing analytics team. The manager tasks the team with determining similarities among existing customers in the company's database, such as similarities in products purchased, location, and the average amount spent per order among existing customers.
Which type of activity will help the team accomplish this task?
A. Regression analysis
B. Linear programming
C. Data mining
D. Touchpoint analysis
答案：C
解題說明：
Data miningis the appropriate activity for identifying patterns, similarities, and relationships within large datasets. In data-driven decision making, data mining techniques such as clustering and association analysis are commonly used to segment customers based on behavior and characteristics.
The task described involves uncovering hidden patterns across multiple variables, which aligns directly with data mining objectives. Linear programming focuses on optimization, regression predicts outcomes, and touchpoint analysis examines customer interactions rather than similarities.
Therefore, the correct answer isA, data mining.