Top 30 multiple-choice questions (MCQs) only focused on the Data Store Auditing in WEB Security covering below topics,along with their answers and explanations.
• Introducing the concept of data store auditing.
• Discussing the importance of logging and monitoring for detecting unauthorized access or modifications.
PRACTICE IT NOW TO SHARPEN YOUR CONCEPT AND KNOWLEDGE
1. What is the primary goal of data store auditing in web security?
- To enhance data confidentiality
- To improve server performance
- To monitor and track activities in the data store
- To restrict access to sensitive data
The primary goal of data store auditing is to monitor and track activities in the data store for security and compliance purposes.
2. Why is logging considered a crucial aspect of data store auditing?
- To improve data confidentiality
- To enhance user authentication
- To record events and changes for later analysis
- To prevent denial-of-service attacks
Logging is crucial for data store auditing as it records events and changes, providing a trail for later analysis and investigation.
3. What type of activities can data store auditing help detect?
- Only successful login attempts
- Only data retrieval operations
- Both successful and unsuccessful access attempts
- Only server performance metrics
Data store auditing can help detect both successful and unsuccessful access attempts, providing a comprehensive view of activities.
4. How can data store auditing contribute to compliance with regulations and standards?
- By improving data confidentiality
- By preventing unauthorized access
- By providing an audit trail for accountability and compliance
- By enhancing user authentication
Data store auditing contributes to compliance by providing an audit trail for accountability, helping meet regulatory and standards requirements.
5. What is the role of monitoring in data store auditing?
- To improve server performance
- To record events for future analysis
- To proactively identify and respond to security incidents
- To restrict access to sensitive data
Monitoring in data store auditing is essential for proactively identifying and responding to security incidents in real-time.
6. What is the significance of timestamp information in data store logs?
- To enhance user authentication
- To record the date and time of each logged event
- To prevent unauthorized access
- To improve data confidentiality
Timestamp information in data store logs is significant as it records the date and time of each logged event, aiding in chronological analysis.
7. How does data store auditing help in forensic analysis?
- By preventing unauthorized access
- By recording events for future analysis
- By enhancing user authentication
- By providing evidence for investigating security incidents
Data store auditing helps in forensic analysis by providing evidence for investigating and understanding security incidents.
8. What is the purpose of access control monitoring in data store auditing?
- To record events for future analysis
- To restrict access to sensitive data
- To enhance user authentication
- To improve server performance
Access control monitoring in data store auditing helps ensure that access to sensitive data is restricted appropriately.
9. What is the potential impact of not implementing data store auditing?
- Improved data confidentiality
- Limited visibility into data store activities
- Enhanced user authentication
- Increased server performance
Not implementing data store auditing can result in limited visibility into data store activities, making it challenging to detect and respond to security incidents.
10. How can encryption contribute to data store auditing?
- By improving data confidentiality
- By preventing unauthorized access
- By recording events for future analysis
- By enhancing user authentication
Encryption contributes to data store auditing by improving data confidentiality, ensuring that the logged information is secure and protected from unauthorized access.
11. What is the role of anomaly detection in data store auditing?
- To improve server performance
- To prevent unauthorized access
- To identify unusual patterns or deviations from normal behavior
- To enhance user authentication
Anomaly detection in data store auditing helps identify unusual patterns or deviations from normal behavior, signaling potential security incidents.
12. How does centralized logging contribute to effective data store auditing?
- By improving data confidentiality
- By restricting access to sensitive data
- By consolidating logs from various sources for analysis and monitoring
- By enhancing user authentication
Centralized logging consolidates logs from various sources, providing a centralized platform for analysis and monitoring in data store auditing.
13. Why is it essential to protect audit logs from unauthorized access or tampering?
- To prevent unauthorized access
- To improve server performance
- To enhance user authentication
- To maintain the integrity and reliability of audit logs
Protecting audit logs from unauthorized access or tampering is essential to maintain the integrity and reliability of the logs for accurate analysis.
14. How can data store auditing help in the early detection of security breaches?
- By preventing unauthorized access
- By recording events for future analysis
- By proactively monitoring and analyzing logs
- By improving data confidentiality
Data store auditing helps in the early detection of security breaches by proactively monitoring and analyzing logs for suspicious activities.
15. What is the purpose of role-based access control in data store auditing?
- To enhance data confidentiality
- To restrict access to sensitive data
- To improve server performance
- To prevent unauthorized access
Role-based access control in data store auditing helps restrict access to sensitive data based on predefined roles and responsibilities.
16. How can audit trails contribute to incident response in data store security?
- By preventing unauthorized access
- By recording events for future analysis
- By providing a chronological record of activities for investigation
- By enhancing user authentication
Audit trails in data store auditing provide a chronological record of activities, aiding in incident response and investigation.
17. What is the significance of event correlation in data store auditing?
- To improve server performance
- To prevent unauthorized access
- To identify relationships and patterns among different events
- To enhance user authentication
Event correlation in data store auditing helps identify relationships and patterns among different events, facilitating more comprehensive analysis.
18. How does real-time alerting contribute to the effectiveness of data store auditing?
- By preventing unauthorized access
- By improving data confidentiality
- By providing immediate notification of suspicious activities
- By enhancing user authentication
Real-time alerting in data store auditing provides immediate notification of suspicious activities, allowing for swift response to potential security incidents.
19. Why is it important to regularly review and analyze audit logs in data store security?
- To restrict access to sensitive data
- To enhance data confidentiality
- To improve server performance
- To identify security issues, trends, and anomalies
Regularly reviewing and analyzing audit logs in data store security helps identify security issues, trends, and anomalies for proactive risk mitigation.
20. How can data anonymization contribute to privacy in data store auditing?
- By preventing unauthorized access
- By encrypting data during transmission
- By protecting sensitive information in logs from being personally identifiable
- By improving server performance
Data anonymization in data store auditing protects sensitive information in logs from being personally identifiable, contributing to privacy and compliance.
