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Listening Quiz: Tinh Chỉnh Quy Tắc SIEM Để Giảm Dương Tính Giả – Easy Level
Th11 10, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Chuyên viên an ninh mạng (English for Cybersecurity Analyst)
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1.
What is the main topic of the conversation?
Planning a new marketing campaign
Hiring more security staff
Tuning SIEM rules to reduce false alerts
Replacing the SIEM system entirely
Explanation:
The speakers discuss too many false alerts in the SIEM and ways to tune rules, whitelist safe activity, and review logs to reduce false positives.
2.
What does William suggest adjusting to lower false positives?
The password policy
The network firewall brand
The number of security analysts
The alert trigger thresholds
Explanation:
William says, ‘We can adjust the thresholds for alert triggers.’
3.
What does Laura ask about using to reduce noise?
A backup server
A new reporting dashboard
Stronger encryption
Whitelist filters
Explanation:
Laura asks, ‘Can we also use whitelist filters?’ and William agrees that whitelisting known safe activities helps reduce noise.
4.
Why does William say machine learning needs good data?
Because it only works after the rules are deleted
Because it can replace all human reviews immediately
Because it is used only for training new employees
Because poor data would make alert improvements less reliable
Explanation:
William says machine learning can help, but it needs good data. This implies that without good data, the alert improvements would be less effective or reliable.
5.
What will the speakers do next, according to Laura?
Replace the SIEM system
Check results next week
Stop reviewing alert logs
Ignore the false alerts for now
Explanation:
Laura says, ‘Let’s start tuning and check results next week,’ so the next action is to check results next week.
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