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Prepare for the Fortinet NSE 7 - Advanced Analytics 6.3 exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
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The questions for NSE7_ADA-6.3 were last updated on Feb 17, 2025.
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Refer to the exhibit.
Why was this incident auto cleared?
The incident was auto cleared because within five minutes, the packet loss percentage dropped to a level where the host IP of the original rule matches the host IP of the clear condition pattern. The clear condition pattern specifies that if there is an event with a packet loss percentage less than or equal to 10% and a host IP that matches any host IP in this incident, then clear this incident.
Identify the processes associated with Machine Learning/Al on FortiSIEM. (Choose two.)
The processes associated with Machine Learning/AI on FortiSIEM are phFortiInsightAI and phAnomaly. phFortiInsightAI is responsible for detecting anomalous user behavior using UEBA (User and Entity Behavior Analytics) techniques. phAnomaly is responsible for detecting anomalous network behavior using NTA (Network Traffic Analysis) techniques.
Which syntax will register a collector to the supervisor?
The syntax that will register a collector to the supervisor is phProvisionCollector --add <supervisor IP>. This command will initiate the registration process between the collector and the supervisor, and exchange certificates and configuration information. The <supervisor IP> parameter is the IP address of the supervisor node.
Refer to the exhibit. Click on the calculator button.
The profile database contains CPU utilization values from day one. At midnight on the second day, the CPU utilization values from the daily database will be merged with the profile database.
In the profile database, in the Hour of Day column where 9 is the value, what will be the updated minimum, maximum, and average CPU utilization values?
The profile database contains CPU utilization values from day one. At midnight on the second day, the CPU utilization values from the daily database will be merged with the profile database using a weighted average formula:
New value = (Old value x Old weight) + (New value x New weight) / (Old weight + New weight)
The weight is determined by the number of days in each database. In this case, the profile database has one day of data and the daily database has one day of data, so the weight is equal for both databases. Therefore, the formula simplifies to:
New value = (Old value + New value) / 2
In the profile database, in the Hour of Day column where 9 is the value, the updated minimum, maximum, and average CPU utilization values are:
Min CPU Util = (32.31 + 32.31) / 2 = 32.31 Max CPU Util = (33.50 + 33.50) / 2 = 33.50 AVG CPU Util = (32.67 + 32.67) / 2 = 32.67
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