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NEW QUESTION # 46
(An analyst is using FortiAI on FortiAnalyzer to simplify certain tasks but is worried about exceeding the monthly token limit. Which query will take the fewest FortiAI tokens? (Choose one answer))
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:
The study guide explains that FortiAI token usage includes both the prompt (input) and the response (output), and that "generally, more text in the query and response results in using more tokens." It provides two comparison examples and concludes that the more verbose request for "all the log entries" consumes more tokens because it has more text and also triggers a larger response; whereas limiting the query to a time range (for example, "(past week)") reduces output volume and therefore token usage.
Applying that guidance to the options:
* C is the most verbose and explicitly requests "all the log entries," which drives higher input and output token usage.
* B requests "all logs" for the week (broad scope), which typically increases output tokens.
* D is short, but it does not constrain the time range, which can increase the response size (output tokens).
* A is concise and includes a time constraint "(past week)," matching the study guide's example of a lower-token query pattern.
NEW QUESTION # 47
Which statement about automation connectors in FortiAnalyzer is true?
Answer: A
Explanation:
Exact Extract: Study Guide p.202-p.203: FortiOS connector actions require automation rules configured on FortiGate.
Technical Deep Dive: The correct answer is D. FortiAnalyzer lists the FortiOS connector after FortiGate is added, but the available actions depend on FortiGate automation configuration. Specifically, the FortiGate side must have automation rules using the Incoming Webhook Call trigger before actions become available to the connector. Option A is wrong because Fabric ADOMs do not automatically come with multiple usable external connectors. Options B and C misunderstand the local connector, which is available by default for local FortiAnalyzer actions.
NEW QUESTION # 48
Refer to the exhibit.
What can you conclude about the output?
Answer: D
Explanation:
Exact Extract: The FortiAnalyzer 7.6 Analyst Study Guide states that to understand log volume and disk quota, administrators can use CLI commands "to gather log rate and device usage statistics." It separately states that to understand "the log rate and log volume per ADOM," administrators use CLI commands that gather "log rate and volume statistics" per ADOM. The guide also explains a different dashboard metric, Insert Rate vs Receive Rate , where receive rate is the rate raw logs reach FortiAnalyzer and insert rate is the rate logs are indexed by the SQL database and sqlplugind daemon.
Technical Deep Dive: The correct answer is B because the exhibit shows the commands:
diagnose fortilogd lograte
diagnose fortilogd msgrate
These commands display FortiAnalyzer-wide log/message rate statistics for recent intervals: last 5 seconds, last 30 seconds, and last 60 seconds. The output does not show an ADOM name, ADOM ID, device name, log type breakdown, traffic/event category, or per-ADOM quota field. Therefore, the safest conclusion from the exhibit is that this output is not ADOM-specific .
Option A is wrong because the exhibit is not showing indexing values. Indexing health is normally evaluated using insert rate , receive rate , and log insert lag time , which relate to how quickly FortiAnalyzer inserts logs into the SQL database. The exhibit only shows fortilogd log rate and message rate, not SQL insert
/indexing lag.
Option C is wrong because there is no breakdown between traffic logs and event logs. The output gives only aggregate rate values, so you cannot conclude whether traffic logs outnumber event logs.
Option D is wrong because a higher log rate than message rate is not automatically abnormal. The output simply shows two different rate counters. Nothing in the exhibit indicates a fault condition, queue buildup, SQL lag, or database indexing issue.
NEW QUESTION # 49
Exhibit. Assume these are all the events that exist on the FortiAnalyzer device. How many events will be added to the incident created after running this playbook?
Answer: D
Explanation:
In the exhibit, we see a playbook in FortiAnalyzer designed to retrieve events based on specific criteria, create an incident, and attach relevant data to that incident. The "Get Event" task configuration specifies filters to match any of the following conditions:
Severity = High
Event Type = Web Filter
Tag = Malware
Analysis of Events:
In the FortiAnalyzer Event Monitor list:
We need to identify events that meet any one of the specified conditions (since the filter is set to
"Match Any Condition").
Events Matching Criteria:
Severity = High:
There are two events with "High" severity, both with the "Event Type" IPS.
Event Type = Web Filter:
There are two events with the "Event Type" Web Filter. One has a "Medium" severity, and the other has a "Low" severity.
Tag = Malware:
There are two events tagged with "Malware," both with the "Event Type" Antivirus and "Medium" severity.
After filtering based on these criteria, there are four distinct events:
Two from the "Severity = High" filter.
One from the "Event Type = Web Filter" filter.
One from the "Tag = Malware" filter.
NEW QUESTION # 50
You must find a specific security event log in the FortiAnalyzer logs displayed in FortiView, but, so far, you have been unsuccessful.
Which two tasks should you perform to investigate why you are having this issue? (Choose two.)
Answer: B,D
Explanation:
Checking logs directly in Log Browse helps verify if the event logs exist and are correctly ingested.
Reviewing the ADOM data policy ensures that the logs are permitted and visible within the current ADOM context, which can affect log visibility in FortiView.
NEW QUESTION # 51
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