WGU C207 EXAM | ACTUAL QUESTIONS
AND ANSWERS LATEST UPDATED
2026/2027 (GRADED A+)
1. Organizations seeking to attract, understand, and retain their most valuable
customers often rely on advanced techniques to create comprehensive customer
profiles. Which discipline focuses on extracting meaningful insights from data to
support strategic decision-making?
A. Statistics
B. Analytics
C. Management Science
D. Histograms
Correct Answer: B. Analytics
Rationale: Analytics is the systematic use of data, statistical methods, and
quantitative techniques to gain insights and support business decision-making.
While statistics is a component of analytics, analytics encompasses a broader range
of tools and processes for deriving actionable insights from data.
2. A manufacturing company wants to maximize production output while
minimizing labor costs and resource consumption. Which type of analytics would
be most appropriate for determining the optimal course of action?
A. Descriptive Analytics
B. Predictive Analytics
C. Prescriptive Analytics
D. Diagnostic Analytics
,Correct Answer: C. Prescriptive Analytics
Rationale: Prescriptive analytics recommends actions that optimize desired
objectives, such as maximizing output while minimizing costs. It goes beyond
describing what happened or predicting what will happen to suggest the best
course of action.
3. A researcher discovers that all measurements collected from a laboratory
instrument are consistently 3 units higher than the true values because of faulty
calibration. Which type of data error is present?
A. Random Error
B. Omission Error
C. Outlier Error
D. Systematic Error
Correct Answer: D. Systematic Error
Rationale: Systematic error occurs when measurements are consistently biased in
one direction due to a flaw in the measurement process, such as faulty calibration.
Unlike random error, systematic error is predictable and reproducible.
4. An educator develops a standardized mathematics examination using only
students from one state. The test is later implemented nationwide. Which potential
issue could affect the validity of the results?
A. Omission Error
B. Systematic Error
C. Measurement Bias
D. Information Bias
Correct Answer: C. Measurement Bias
Rationale: Measurement bias occurs when a testing instrument systematically
favors or disadvantages certain groups. Using only students from one state to
,develop a national test introduces bias because the test may not be appropriate for
students from other regions with different educational backgrounds.
5. A city government conducts a survey of recent immigrants but distributes the
survey exclusively in English. Which type of data collection problem is most likely
to occur?
A. Random Error
B. Omission Error
C. Outlier Error
D. Accuracy Error
Correct Answer: B. Omission Error
Rationale: Omission error occurs when certain members of the target population
are unintentionally excluded from participation. By distributing the survey only in
English, the city excludes immigrants who do not speak English, leading to
systematic omission of a subset of the population.
6. Which characteristic is NOT typically associated with Big Data?
A. Requires analytical tools for interpretation
B. Includes structured data
C. Includes unstructured data
D. Can be effectively analyzed using traditional spreadsheets alone
Correct Answer: D. Can be effectively analyzed using traditional spreadsheets
alone
Rationale: Big Data requires specialized analytics tools and is generally too large
and complex for traditional spreadsheets alone. Spreadsheets have limitations in
volume, velocity, and variety that make them unsuitable for comprehensive Big
Data analysis.
, 7. Within the Davenport-Kim three-stage model of analytics, which activity is
associated with the problem-framing stage?
A. Presenting recommendations to stakeholders
B. Determining the scope of the problem
C. Developing visualizations
D. Performing statistical analysis
Correct Answer: B. Determining the scope of the problem
Rationale: The problem-framing stage involves understanding and defining the
problem, including determining its scope. This is the first stage in the Davenport-
Kim model, followed by solving the problem and communicating results.
8. Which activity is also considered part of the Davenport-Kim problem-framing
stage?
A. Reviewing previous findings and existing research
B. Reporting results to executives
C. Conducting hypothesis testing
D. Performing regression analysis
Correct Answer: A. Reviewing previous findings and existing research
Rationale: Reviewing prior studies helps analysts understand the problem context
and define the problem appropriately. This is a key activity in the framing stage,
which involves understanding the environment of a problem.
9. A healthcare researcher is studying blood glucose levels before and after
exercise. Which element is essential in an experimental design?
A. Treatment Procedures
B. Financial Analysis
C. Customer Feedback
D. Market Segmentation
AND ANSWERS LATEST UPDATED
2026/2027 (GRADED A+)
1. Organizations seeking to attract, understand, and retain their most valuable
customers often rely on advanced techniques to create comprehensive customer
profiles. Which discipline focuses on extracting meaningful insights from data to
support strategic decision-making?
A. Statistics
B. Analytics
C. Management Science
D. Histograms
Correct Answer: B. Analytics
Rationale: Analytics is the systematic use of data, statistical methods, and
quantitative techniques to gain insights and support business decision-making.
While statistics is a component of analytics, analytics encompasses a broader range
of tools and processes for deriving actionable insights from data.
2. A manufacturing company wants to maximize production output while
minimizing labor costs and resource consumption. Which type of analytics would
be most appropriate for determining the optimal course of action?
A. Descriptive Analytics
B. Predictive Analytics
C. Prescriptive Analytics
D. Diagnostic Analytics
,Correct Answer: C. Prescriptive Analytics
Rationale: Prescriptive analytics recommends actions that optimize desired
objectives, such as maximizing output while minimizing costs. It goes beyond
describing what happened or predicting what will happen to suggest the best
course of action.
3. A researcher discovers that all measurements collected from a laboratory
instrument are consistently 3 units higher than the true values because of faulty
calibration. Which type of data error is present?
A. Random Error
B. Omission Error
C. Outlier Error
D. Systematic Error
Correct Answer: D. Systematic Error
Rationale: Systematic error occurs when measurements are consistently biased in
one direction due to a flaw in the measurement process, such as faulty calibration.
Unlike random error, systematic error is predictable and reproducible.
4. An educator develops a standardized mathematics examination using only
students from one state. The test is later implemented nationwide. Which potential
issue could affect the validity of the results?
A. Omission Error
B. Systematic Error
C. Measurement Bias
D. Information Bias
Correct Answer: C. Measurement Bias
Rationale: Measurement bias occurs when a testing instrument systematically
favors or disadvantages certain groups. Using only students from one state to
,develop a national test introduces bias because the test may not be appropriate for
students from other regions with different educational backgrounds.
5. A city government conducts a survey of recent immigrants but distributes the
survey exclusively in English. Which type of data collection problem is most likely
to occur?
A. Random Error
B. Omission Error
C. Outlier Error
D. Accuracy Error
Correct Answer: B. Omission Error
Rationale: Omission error occurs when certain members of the target population
are unintentionally excluded from participation. By distributing the survey only in
English, the city excludes immigrants who do not speak English, leading to
systematic omission of a subset of the population.
6. Which characteristic is NOT typically associated with Big Data?
A. Requires analytical tools for interpretation
B. Includes structured data
C. Includes unstructured data
D. Can be effectively analyzed using traditional spreadsheets alone
Correct Answer: D. Can be effectively analyzed using traditional spreadsheets
alone
Rationale: Big Data requires specialized analytics tools and is generally too large
and complex for traditional spreadsheets alone. Spreadsheets have limitations in
volume, velocity, and variety that make them unsuitable for comprehensive Big
Data analysis.
, 7. Within the Davenport-Kim three-stage model of analytics, which activity is
associated with the problem-framing stage?
A. Presenting recommendations to stakeholders
B. Determining the scope of the problem
C. Developing visualizations
D. Performing statistical analysis
Correct Answer: B. Determining the scope of the problem
Rationale: The problem-framing stage involves understanding and defining the
problem, including determining its scope. This is the first stage in the Davenport-
Kim model, followed by solving the problem and communicating results.
8. Which activity is also considered part of the Davenport-Kim problem-framing
stage?
A. Reviewing previous findings and existing research
B. Reporting results to executives
C. Conducting hypothesis testing
D. Performing regression analysis
Correct Answer: A. Reviewing previous findings and existing research
Rationale: Reviewing prior studies helps analysts understand the problem context
and define the problem appropriately. This is a key activity in the framing stage,
which involves understanding the environment of a problem.
9. A healthcare researcher is studying blood glucose levels before and after
exercise. Which element is essential in an experimental design?
A. Treatment Procedures
B. Financial Analysis
C. Customer Feedback
D. Market Segmentation
