WGU Ethics-In-Technology : WGU Ethics In Technology QCO1

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WGU Ethics-In-Technology Exam Syllabus Topics:

WGU Ethics In Technology QCO1 Sample Questions:

1. What is a Gramm-Leach-BIiley Act (GLBA) financial privacy rule that presents a threat to data privacy?

A) Opt-out
B) Opt-in
C) Safeguard
D) Pretexting

2. A credit reporting agency collects personally identifiable information (Pll) from customers. The agency appoints a data protection officer (DPO), who is responsible for overseeing the agency's data protection strategy and enforcing data compliance requirements.
Which legislation should the DPO use as the basis for governing the collection and disclosure of Pll?

A) Gramm-Leach-Bliley Act(GLBA)
B) Securities Exchange Act
C) Sarbanes-Oxley Act (SOX)
D) Bank Secrecy Act

3. A hospital is struggling with adverse patient outcomes caused by avoidable medication errors. Many of these errors are due to illegible writing by the prescribing physician or incomplete data (or the prescribed medication and dose.
Which technology system reduces these errors?

A) Electronic medical record
B) Health information exchange
C) Computerized provider order entry
D) Clinical decision support

4. An organization gathers data using various technologies to optimize sales processes for its current and prospective customers. The data consists of demographic, geographic, and behavioral customer changes.
Which data collection method is the organization using?

A) Workplace monitoring
B) Advanced surveillance
C) Electronic discovery
D) Consumer profiling

5. A cloud computing company uses machine learning software to screen the resumes of job seekers. The company's aim is to reduce potential human prejudice in the hiring process. To set up the software and train the machine learning model, the company provides information from its hiring decisions over the past five years. After several months of using the software, the company runs an audit and finds that the software screens out minority job seekers at a much higher rate.
Which behavior is the trained machine learning model displaying?

A) Acting fairly toward candidates
B) Exhibiting intent to harm applicants
C) Scoring low humility measurement
D) Exposing bias that exists in the data

Solutions: