Fortinet NSE 6 - FortiSIEM 7.4 Analyst 온라인 연습
최종 업데이트 시간: 2026년06월29일
당신은 온라인 연습 문제를 통해 Fortinet NSE6_FSM_AN-7.4 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 NSE6_FSM_AN-7.4 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 37개의 시험 문제와 답을 포함하십시오.
정답:
Explanation:
The detection depends on whether the logon source is an approved jump host. The source host should be compared against the lookup table. The other comparisons do not identify approved or unapproved logon sources.
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Explanation:
Subpatterns must share a constrained field, such as host or user, to ensure the second pattern matches the same entity as the first. Without that constraint, unrelated events can satisfy the rule.
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Explanation:
If valid activity stops matching after an exclusion is added, the exclusion logic may be too broad or mapped to the wrong field. Severity, recipients, and dashboard filters do not prevent the rule from matching events.
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Explanation:
The detection requires counting unique accounts targeted by the same source IP. A total event count could be caused by repeated failures against one account, which is a different pattern.
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Explanation:
If destination IP is part of the group-by logic, FortiSIEM can split activity into separate incidents per destination. Adjusting the destination grouping helps combine related activity under the infected host.
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Explanation:
The rule should alert when the DNS destination is outside the approved resolver list. Matching approved destinations would show expected behavior, and grouping alone would not detect the exception.
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Explanation:
If the lookup table is correct but the rule matches the wrong systems, the rule may be comparing the lookup to the wrong field. The analyst should verify whether the target IP or host field is mapped correctly.
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Explanation:
Port scanning requires measuring port diversity. A distinct port aggregation is better than a simple event count when deciding whether many ports were contacted.
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Explanation:
The source IP and target host must be included in the group-by logic so the threshold is evaluated per pair. Display, owner, and notification settings do not define how the threshold is grouped.
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Explanation:
A broad event type can match too many events. Adding specific conditions such as action, direction, port, source, or destination improves precision. Report filters and severity changes do not improve rule matching.
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Explanation:
Grouping by user identity keeps activity tied to the user across devices. Device, parser, or target-host grouping would split the activity by infrastructure rather than the user entity.
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Explanation:
The suspicious behavior is one user reaching many unique hosts. A distinct host count measures that spread. A total event count could trigger on repeated activity against one host and miss the intended behavior.
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Explanation:
The requirement involves two related behaviors from the same host. Two linked subpatterns can correlate endpoint malware activity with later outbound network connections.
정답:
Explanation:
If related events occur outside the evaluation period, the rule cannot correlate them. Adjusting the time window is the relevant fix. Grouping and lookup scope may affect matching, but they do not solve a timing miss.
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Explanation:
Excluding known service accounts from the rule condition reduces expected noise while preserving event collection. Reducing the threshold would likely increase noise, and changing owner or grouping does not address the known-account exception.