CK Cyber 2 - LO1.1.C

Why is data considered valuable for individuals?

• It can be used to generate revenue.

• It helps in achieving organizational goals.

• It is related to privacy and personal property.

• It ensures safety and security.

What motivates individuals to protect their personal data?

• To increase their social status.

• To protect their privacy and property.

• To enhance their educational opportunities.

• To improve their health care services.

How do organizations use data?

• To provide public services.

• To ensure national security.

• To achieve goals and provide services.

• To protect individual privacy.

What type of data can be used to impersonate an individual?

• Intellectual property data.

• Financial, social, and biometric data.

• Government service data.

• Organizational goal data.

What is a potential consequence for organizations if their data is stolen?

• Improved public services.

• Enhanced safety and security.

• Compromised revenue and reputation.

• Increased educational opportunities.

Why do governments collect and use data?

• To generate revenue.

• To provide public services and ensure safety.

• To protect intellectual property.

• To enhance individual privacy.

What type of data do governments often collect that could harm individuals if compromised?

• Educational data.

• Intellectual property data.

• Personally identifiable information (PII).

• Organizational goal data.

Which of the following is NOT a reason why data must be protected?

• To prevent impersonation.

• To ensure data is used for public services.

• To protect intellectual property.

• To increase the cost of data management.

What is the role of intellectual property (IP) data for organizations?

• It is used to provide public services.

• It is used to generate revenue.

• It is used to enhance individual privacy.

• It is used to ensure national security.

Which of the following is a type of data that can be used to harm an individual?

• Organizational goal data.

• Financial and biometric data.

• Government service data.

• Educational opportunity data.