WGU Certification Exams Pack
Everything from Basic, plus:
- Exam Name: VPC2Data-Driven Decision MakingC207
- 70 Questions Answers with Explanation Detail
- Total Questions: 70 Q&A's
- Single Choice Questions: 64 Q&A's
- Multiple Choice Questions: 6 Q&A's
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WGU Data-Driven-Decision-Making - VPC2Data-Driven Decision MakingC207
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Total Questions: 70
Free Practice Questions: 21
A hot tub company recently calibrated all its machines during an expensive maintenance cycle performed by an outside company. However, defective pumps with small cracks are being made on the production line. The manager reviews the data about the errors and discovers that more errors occur during the night shift than during the day shift.
Which type of activity is this manager performing?
Answer
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D
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Explanation
Quality controlinvolves monitoring, measuring, and analyzing production output to identify defects and variations. In data-driven decision making, quality control focuses on detecting problems after or during production rather than preventing them in advance. In this scenario, the manager reviews defect data and identifies a pattern indicating more errors during the night shift. This analysis is a classic quality control activity, as it involves examining performance data to detect issues in the production process. Quality assurance focuses on process design and prevention, while service and underlying activities are not standard quality management classifications. Therefore, the correct answer isD, quality control activity. |
What is the basic difference between evaluating costs and benefits in the public and private sectors?
Answer
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C
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Explanation
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. |
What are two benefits of good data quality management in improving business decision-making?
Choose 2 answers.
Answer
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A, D
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Explanation
Good data quality management plays a critical role in improving business decision-making by ensuring that data is accurate, complete, and reliable. One key benefit is that itensures there are no missing data points, which helps maintain data completeness. Missing data can distort results, reduce analytical power, and lead to incorrect conclusions, especially in descriptive and inferential statistics. Another important benefit is that data quality managementmitigates undetected errors from the data-entry process. Errors such as duplicate entries, incorrect values, or inconsistent formats can significantly bias analysis if left unnoticed. Through validation checks, cleaning procedures, and governance standards, organizations reduce the risk of flawed insights. While good data quality supports better analysis, it does not guarantee statistical significance, as significance depends on sample size, variability, and study design. Similarly, it does not necessarily make the statistical process faster; in fact, data cleaning can be time-consuming. However, it improves theaccuracy and trustworthinessof outcomes. In data-driven decision making, high-quality data is essential because decisions are only as good as the data used to support them. Therefore, the correct answers areA and D. |
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WGU Data-Driven-Decision-Making FAQ'S
Find answers to the most common questions about the WGU Data-Driven-Decision-Making exam, including what it is, how to prepare, and how it can boost your career.
The WGU Data-Driven-Decision-Making certification is a globally-acknowledged credential that is awarded to candidates who pass this certification exam by obtaining the required passing score. This credential attests and validates the candidates' knowledge and hands-on skills in domains covered in the WGU Data-Driven-Decision-Making certification syllabus. The WGU Data-Driven-Decision-Making certified professionals with their verified proficiency and expertise are trusted and welcomed by hiring managers all over the world to perform leading roles in organizations. The success in WGU Data-Driven-Decision-Making certification exam can be ensured only with a combination of clear knowledge on all exam domains and securing the required practical training. Like any other credential, WGU Data-Driven-Decision-Making certification may require periodic renewal to stay current with new innovations in the concerned domains.
The WGU Data-Driven-Decision-Making is a valuable career booster that levels up your profile with the distinction of validated competency awarded by a renowned organization. Often rated as a dream cert by several ambitious professionals, the WGU Data-Driven-Decision-Making certification ensures you an immensely rewarding career trajectory. With this cert, you fulfill the eligibility criterion for advance level certifications and build an outstanding career pyramid. With the tangible proof of your expertise, the WGU Data-Driven-Decision-Making certification provide you with new job opportunities or promotions and enhance your regular income.
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In today's competitive world, the WGU Data-Driven-Decision-Making certification is a ladder of success and a means of distinguishing your expertise over the non-certified peers. In addition to this, the WGU Data-Driven-Decision-Making certified professionals enjoy more credibility and visibility in the job market for their candidature. This distinction accelerates career growth allowing the certified professionals to secure their dream job roles in enterprises of their choice. This industry-recognized credential is always attractive to employers and the professionals having it are paid well with an instant 15-20% increase in salaries. These are the reasons that make WGU Data-Driven-Decision-Making certification a trending credential worldwide.