Question 330
During a FortiAnalyzer incident review, the team observes: A threat dashboard ranks one destination highly, but an analyst needs to isolate whether the spike occurred in the previous hour or over the whole week. Which statement describes the decisive system dependency?
Explanation
Correct Answer
Time filtering changes which log samples contribute to an aggregate, so rankings can differ by investigation interval. This behavior determines the engineering decision. The appropriate action is: Change the FortiView time period and compare the same destination across equivalent shorter windows. Verify success by checking: The destination's hourly spike is visible without conflating it with older events.
Incorrect Answers
The action “An ingestion gap can make traffic summaries fall even if actual network activity remains constant” addresses a separate source case: After a logging outage, FortiView reports a sudden reduction in sessions and managers call it successful traffic reduction. Its underlying reason is: An ingestion gap can make traffic summaries fall even if actual network activity remains constant. This question instead describes a threat dashboard ranks one destination highly, but an analyst needs to isolate whether the spike occurred in the previous hour or over the whole week. The original answer “Time filtering changes which log samples contribute to an aggregate, so rankings can differ by investigation interval” targets that failure because time filtering changes which log samples contribute to an aggregate, so rankings can differ by investigation interval.
The action “Custom View can retain device selection, widget choices, and time period as a repeatable analysis workspace” addresses a separate source case: A SOC needs to keep a stable dashboard showing one FortiGate cluster for morning handover, but the current widget resets to all devices on every visit. Its underlying reason is: Custom View can retain device selection, widget choices, and time period as a repeatable analysis workspace. This question instead describes a threat dashboard ranks one destination highly, but an analyst needs to isolate whether the spike occurred in the previous hour or over the whole week. The original answer “Time filtering changes which log samples contribute to an aggregate, so rankings can differ by investigation interval” targets that failure because time filtering changes which log samples contribute to an aggregate, so rankings can differ by investigation interval.
The action “Website request counts can include blocked attempts; aggregation alone does not establish successful page delivery” addresses a separate source case: The SOC's Top Websites widget reports a blocked phishing domain as the most visited site, but executives infer that users successfully accessed it. Its underlying reason is: Website request counts can include blocked attempts; aggregation alone does not establish successful page delivery. This question instead describes a threat dashboard ranks one destination highly, but an analyst needs to isolate whether the spike occurred in the previous hour or over the whole week. The original answer “Time filtering changes which log samples contribute to an aggregate, so rankings can differ by investigation interval” targets that failure because time filtering changes which log samples contribute to an aggregate, so rankings can differ by investigation interval.