1
WGU
WGU D467 FINAL EXAM EXPLORING DATA |QUESTIONS
& ANSWERS| GRADE A| 100% CORRECT (VERIFIED
SOLUTION) (2025/ 2026 U PDATE)
1. Data interoperability: A key factor leading to the successful use
of open data among companies and governments
2. Data privacy: Preserving a data subject's information any time a
data transaction occurs
3. Ethics: Well-founded standards of right and wrong that prescribe
what humans ought to do, usually in terms of rights, obligations,
benefits to society, fairness, or specific virtues
4. Experimenter bias: The tendency for different people to observe
things differently (also called observer bias)
5. Fairness: A quality of data analysis that does not create or
reinforce bias 15. First-party data: Data collected by an individual or
group using their own resources
6. General Data Protection Regulation of the European Union
(GDPR): Policy-making body in the European Union created to help
WGU 1/8
, 2
WGU
protect people and their data 7. Good data source: A data source that
is reliable, original, comprehensive, current, and cited (ROCCC)
8. Interpretation bias: The tendency to interpret ambiguous
situations in a positive or negative way
9. Observer bias: The tendency for different people to observe
things differently
(also called experimenter bias)
10. Open data: Data that is available to the public
11. Openness: The aspect of data ethics that promotes the free
access, usage, and sharing of data
12. Sampling bias: Overrepresenting or underrepresenting certain
members of a population as a result of working with a sample that is
not representative of the population as a whole
13. Transaction transparency: The aspect of data ethics that
presumes all data-processing activities and algorithms should be
explainable and understood by the individual who provides the data
WGU 2/8
WGU
WGU D467 FINAL EXAM EXPLORING DATA |QUESTIONS
& ANSWERS| GRADE A| 100% CORRECT (VERIFIED
SOLUTION) (2025/ 2026 U PDATE)
1. Data interoperability: A key factor leading to the successful use
of open data among companies and governments
2. Data privacy: Preserving a data subject's information any time a
data transaction occurs
3. Ethics: Well-founded standards of right and wrong that prescribe
what humans ought to do, usually in terms of rights, obligations,
benefits to society, fairness, or specific virtues
4. Experimenter bias: The tendency for different people to observe
things differently (also called observer bias)
5. Fairness: A quality of data analysis that does not create or
reinforce bias 15. First-party data: Data collected by an individual or
group using their own resources
6. General Data Protection Regulation of the European Union
(GDPR): Policy-making body in the European Union created to help
WGU 1/8
, 2
WGU
protect people and their data 7. Good data source: A data source that
is reliable, original, comprehensive, current, and cited (ROCCC)
8. Interpretation bias: The tendency to interpret ambiguous
situations in a positive or negative way
9. Observer bias: The tendency for different people to observe
things differently
(also called experimenter bias)
10. Open data: Data that is available to the public
11. Openness: The aspect of data ethics that promotes the free
access, usage, and sharing of data
12. Sampling bias: Overrepresenting or underrepresenting certain
members of a population as a result of working with a sample that is
not representative of the population as a whole
13. Transaction transparency: The aspect of data ethics that
presumes all data-processing activities and algorithms should be
explainable and understood by the individual who provides the data
WGU 2/8
