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WGU D435 HR TECHNOLOGY AND PEOPLE ANALYTICS COMPREHENSIVE STUDY GUIDE V4

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WGU D435 HR TECHNOLOGY AND PEOPLE ANALYTICS COMPREHENSIVE STUDY GUIDE V4

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WGU D435 HR TECHNOLOGY AND
PEOPLE ANALYTICS COMPREHENSIVE
STUDY GUIDE V4



1. Which stage of the HRIS development life cycle involves identifying user requirements and

the scope of the new system?

A. Analysis phase


B. Implementation phase


C. Design phase


D. Maintenance phase


Answer: A


Conceptual Explanation: The analysis phase is critical for defining what the system must

do by gathering requirements from stakeholders and documenting current processes.


2. In the context of HR technology, what does ‘Interoperability’ refer to?

A. The ability of a system to operate without human intervention


B. The security measures used to protect employee PII


C. The speed at which a system processes large datasets


D. The capacity of different information systems to communicate and exchange data

,Answer: D


Conceptual Explanation: Interoperability ensures that disparate systems, such as a

payroll system and a performance management system, can share data seamlessly.


3. Which type of analytics answers the question ‘What should we do to make a specific

outcome happen?’

A. Descriptive Analytics


B. Prescriptive Analytics


C. Predictive Analytics


D. Diagnostic Analytics


Answer: B


Conceptual Explanation: Prescriptive analytics goes beyond predicting outcomes by

suggesting specific actions to achieve desired results.


4. Which of the following best describes ‘Shadow HR’?

A. Hidden data within a legacy HRIS system


B. HR tasks performed by managers outside of the formal HR department


C. Unethical HR practices that bypass legal regulations


D. Temporary HR staff hired for seasonal projects


Answer: B

, Conceptual Explanation: Shadow HR refers to HR-related activities (like hiring or

coaching) performed by line managers rather than the centralized HR function.


5. What is the primary risk associated with using algorithmic decision-making in recruitment?

A. Increased cost per hire


B. Slower time-to-fill metrics


C. Lack of data storage capacity


D. Perpetuation of historical bias


Answer: D


Conceptual Explanation: If historical data contains biases, machine learning algorithms

may learn and replicate those biases, leading to discriminatory hiring practices.


6. Under the GDPR, what does the ‘right to be forgotten’ entail?

A. Data subjects can request the deletion of their personal data under certain conditions


B. Employees can choose to remain anonymous in surveys


C. Companies must delete all data after an employee resigns


D. HR cannot store data for more than two years


Answer: A


Conceptual Explanation: The right to erasure (right to be forgotten) allows individuals to

request that their personal data be deleted when it is no longer necessary.

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