WGU D435 HR TECHNOLOGY AND
PEOPLE ANALYTICS COMPREHENSIVE
EXAMINATION
1. Which level of the People Analytics maturity model involves using statistical modeling to
predict future outcomes and identify risks?
A. Operational Reporting
B. Predictive Analytics
C. Advanced Analytics
D. Strategic Planning
Answer: B
Conceptual Explanation: Predictive analytics utilizes historical data and statistical
algorithms to forecast future trends and events, moving beyond simple reporting of past
data.
2. When selecting a new HRIS, what does the term ‘Total Cost of Ownership’ (TCO) primarily
encompass?
A. Only the initial licensing fee for the software
B. The subscription fee plus the cost of hardware
,C. Implementation, customization, training, maintenance, and hidden support costs
D. The salary of the HRIT manager overseeing the project
Answer: C
Conceptual Explanation: TCO provides a comprehensive financial estimate that includes
both direct and indirect costs over the entire lifecycle of the technology.
3. In the context of data privacy, what is the primary purpose of ‘Data Minimization’?
A. Collecting only the data that is strictly necessary for a specific, stated purpose
B. Reducing the file size of databases to save storage costs
C. Hiding sensitive columns from non-admin users in an HRIS
D. Compressing data before transmitting it via API
Answer: A
Conceptual Explanation: Data minimization is a core principle of GDPR and ethics, stating
that organizations should only process the personal data they actually need.
4. Which of the following describes ‘Prescriptive Analytics’?
A. Describing what happened in the past
B. Explaining why something happened
C. Recommending specific actions to achieve a desired outcome
D. Predicting what might happen in the future
, Answer: C
Conceptual Explanation: Prescriptive analytics goes beyond prediction to suggest
decisions or actions that can optimize results.
5. What is the primary risk of using ‘Black Box’ AI algorithms in recruitment?
A. High computational costs
B. The algorithm might run too slowly
C. Lack of transparency and potential for systemic bias
D. It requires too much data to function
Answer: C
Conceptual Explanation: Black box algorithms offer little insight into how decisions are
made, making it difficult to detect or correct bias, leading to legal and ethical risks.
6. In a Software as a Service (SaaS) model, who is typically responsible for infrastructure
maintenance and security updates?
A. The software vendor
B. The internal IT department
C. The internal HR department
D. A third-party cybersecurity firm
Answer: A
PEOPLE ANALYTICS COMPREHENSIVE
EXAMINATION
1. Which level of the People Analytics maturity model involves using statistical modeling to
predict future outcomes and identify risks?
A. Operational Reporting
B. Predictive Analytics
C. Advanced Analytics
D. Strategic Planning
Answer: B
Conceptual Explanation: Predictive analytics utilizes historical data and statistical
algorithms to forecast future trends and events, moving beyond simple reporting of past
data.
2. When selecting a new HRIS, what does the term ‘Total Cost of Ownership’ (TCO) primarily
encompass?
A. Only the initial licensing fee for the software
B. The subscription fee plus the cost of hardware
,C. Implementation, customization, training, maintenance, and hidden support costs
D. The salary of the HRIT manager overseeing the project
Answer: C
Conceptual Explanation: TCO provides a comprehensive financial estimate that includes
both direct and indirect costs over the entire lifecycle of the technology.
3. In the context of data privacy, what is the primary purpose of ‘Data Minimization’?
A. Collecting only the data that is strictly necessary for a specific, stated purpose
B. Reducing the file size of databases to save storage costs
C. Hiding sensitive columns from non-admin users in an HRIS
D. Compressing data before transmitting it via API
Answer: A
Conceptual Explanation: Data minimization is a core principle of GDPR and ethics, stating
that organizations should only process the personal data they actually need.
4. Which of the following describes ‘Prescriptive Analytics’?
A. Describing what happened in the past
B. Explaining why something happened
C. Recommending specific actions to achieve a desired outcome
D. Predicting what might happen in the future
, Answer: C
Conceptual Explanation: Prescriptive analytics goes beyond prediction to suggest
decisions or actions that can optimize results.
5. What is the primary risk of using ‘Black Box’ AI algorithms in recruitment?
A. High computational costs
B. The algorithm might run too slowly
C. Lack of transparency and potential for systemic bias
D. It requires too much data to function
Answer: C
Conceptual Explanation: Black box algorithms offer little insight into how decisions are
made, making it difficult to detect or correct bias, leading to legal and ethical risks.
6. In a Software as a Service (SaaS) model, who is typically responsible for infrastructure
maintenance and security updates?
A. The software vendor
B. The internal IT department
C. The internal HR department
D. A third-party cybersecurity firm
Answer: A
