Question: How can the use of machine learning enhance log analysis for anomaly detection?
Answer:
Machine learning can enhance log analysis by training models to recognize normal behavior and identify anomalies in log data.
MCQ: How can the use of machine learning enhance log analysis for anomaly detection?
Correct Answer:
A. By improving server performance
Explanation:
Machine learning can enhance log analysis by training models to recognize normal behavior and identify anomalies in log data.
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Related Questions
- 1. What is the role of incident response plans in conjunction with logging and monitoring?
- 2. How can logs be utilized for compliance purposes in server-side applications?
- 3. What is the primary purpose of user and session management on the server side?
- 4. How can attackers exploit weaknesses in session management to gain unauthorized access?
- 5. What security measure involves implementing session timeouts in server-side applications?
- 6. How can session fixation attacks occur in the context of user and session management?
- 7. What is the purpose of secure session transmission in user and session management?
- 8. How can attackers exploit inadequate authentication mechanisms in user management?
- 9. What is the significance of implementing account lockout policies in user management?
- 10. How can attackers exploit weak password policies in user management?
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