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WorksheetsLesson 5: Data Protection
Total questions: 15
Worksheet time: 8mins
What is data retention?
A) Storing data forever
B) Keeping data as needed
C) Deleting all data
D) Encrypting old files
What ensures secure data storage?
A) Publicly shared servers
B) Weak password policies
C) Encryption and backups
D) Ignoring security updates
Why must old data be deleted?
A) It reduces storage costs
B) It prevents hacking risks
C) It speeds up processing
D) It improves internet speed
How should companies dispose of old data?
A) Delete and empty trash
B) Burn all printed records
C) Move to an archive
D) Secure wiping or shredding
What is a risk of storing unencrypted data?
A) Loss of user access
B) Faster system performance
C) Higher compliance costs
D) Increased security breaches
What is a data breach?
A) A routine system update
B) A security failure exposing data
C) A legal data transfer
D) A backup process
What is a phishing attack?
A) Hacking databases
B) Sending fake emails to steal data
C) Encrypting stored files
D) Selling passwords online
What is a good cybersecurity measure?
A) Using the same password
B) Enabling multi-factor authentication
C) Storing data in plaintext
D) Disabling firewalls
What should companies do first after a breach?
A) Delete all data
B) Inform regulators if required
C) Change all usernames
D) Sell affected records
Why train employees in cybersecurity?
A) To improve computer speed
B) To prevent data breaches
C) To limit user access
D) To reduce IT costs
What does copyright protect?
A) Business profits
B) Creative works
C) Trade secrets
D) Personal opinions
What does a trademark protect?
A) A personal invention
B) A company's brand identity
C) A scientific discovery
D) A public domain image
What is an ethical data concern?
A) Transparent data use
B) AI bias in hiring
C) Strong cybersecurity
D) GDPR compliance
Why is data transparency important?
A) It helps users make informed decisions
B) It speeds up internet browsing
C) It allows unlimited data collection
D) It lowers website traffic
What ensures fair AI decision-making?
A) Ignoring biased outcomes
B) Using diverse training data
C) Automating all decisions
D) Avoiding human oversight
