Question: How can user behavior analytics contribute to identifying anomalous activities in data store monitoring?
Answer:
User behavior analytics analyzes patterns of user behavior to identify anomalies, contributing to the identification of suspicious activities in data store monitoring.
MCQ: How can user behavior analytics contribute to identifying anomalous activities in data store monitoring?
Explanation:
User behavior analytics analyzes patterns of user behavior to identify anomalies, contributing to the identification of suspicious activities in data store monitoring.
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Related Questions
- 1. What is the significance of integrating logs with security information and event management (SIEM) systems?
- 2. Why is user education important for web security?
- 3. What is the primary goal of raising awareness about data store security among users?
- 4. How can phishing awareness training benefit users in the context of data stores?
- 5. Why should users be educated about the importance of strong and unique passwords?
- 6. What role does social engineering awareness play in user education for data store security?
- 7. How can user education contribute to the prevention of insider threats in data stores?
- 8. What is the purpose of security awareness campaigns targeted at users?
- 9. How can user reporting mechanisms enhance data store security?
- 10. Why is it important for users to understand the risks associated with sharing sensitive information?
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