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| Certification Vendor: | Fortinet |
|---|---|
| Exam Name: | FCP - FortiAnalyzer 7.6 Analyst |
| Exam Number: | FCP_FAZ_AN-7.6 |
| Related Certifications: | Fortinet Certified Professional (FCP) Security Operations Fortinet Certified Fundamentals (FCF) |
| Real Exam Qty: | Approximately 60–70 |
| Passing Score: | Approx. 60% (varies by exam version) |
| Certificate Validity Period: | 2 years |
| Exam Duration: | 70 minutes |
| Available Languages: | English |
| Exam Price: | USD 200 (may vary by region) |
| Exam Format: | Scenario-based Questions, Multiple Choice |
| Recommended Training: | FortiAnalyzer 7.6 Administration Course (Fortinet Training Institute) Fortinet NSE/FCP Security Operations Learning Paths |
| Exam Registration: | Fortinet Training Institute Certification Portal Pearson VUE Fortinet Exams |
| Sample Questions: | Fortinet FCP_FAZ_AN-7.6 Sample Questions |
| Exam Way: | Online proctored or Pearson VUE test center |
| Pre Condition: | Recommended: basic knowledge of FortiGate and Fortinet Security Operations concepts |
| Official Syllabus URL: | https://training.fortinet.com |
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NEW QUESTION # 78
As part of your analysis, you discover that a Medium severity level incident is fully remediated.
You change the incident status to Closed:Remediated.
Which statement about your update is true?
Answer: A
Explanation:
Study Guide p.102-p.106: incident charts and status tracking help analysts prioritize and manage incident lifecycle changes.
Technical Deep Dive: The correct answer is C. When an incident is closed as remediated, the incident dashboard and incident status views reflect the updated lifecycle state. FortiAnalyzer keeps incidents visible for tracking and audit unless an administrator deletes them separately. The corresponding event is not automatically rewritten as Mitigated simply because the incident is closed. Incident severity is not automatically lowered by changing status; severity and status are separate incident attributes.
NEW QUESTION # 79
Which two statements about exporting and importing playbooks are true? (Choose two.)
Answer: B,C
Explanation:
Study Guide p.217-p.218: exported playbooks preserve enabled/disabled status, and name conflicts are handled on import.
Technical Deep Dive: The correct answers are A and C. A playbook imported into another ADOM or FortiAnalyzer retains the enabled or disabled status it had when exported, which is why automatic playbooks should be exported disabled. If an imported playbook name already exists, FortiAnalyzer creates a new name with a timestamp to avoid conflicts, so importing with the same name is allowed. Option B is wrong because connectors can be included in the export. Option D is wrong because multiple playbooks can be exported at once.
NEW QUESTION # 80
Exhibit.
Based on the partial outputs displayed, which devices can be members of a FortiAnalyzer Fabric?
Answer: B
Explanation:
Exact Extract: Study Guide p.21: FortiAnalyzer Fabric operates with a supervisor and members; members send information to the supervisor for centralized monitoring.
Technical Deep Dive: The correct answer is D. The exhibit shows devices that meet the conditions to participate as FortiAnalyzer Fabric members, so all listed devices can be members. The key concept is that Fabric membership is about centralized monitoring visibility between FortiAnalyzer systems, not about forcing every member into HA or a single time zone. A member remains an operating FortiAnalyzer device and reports member information to the supervisor. The distractor pairs are too restrictive because they unnecessarily exclude devices that still satisfy the Fabric member role.
NEW QUESTION # 81
What is the purpose of using data selectors when configuring event handlers?
Answer: D
Explanation:
Exact Extract: Study Guide p.78 and p.81: a data selector is a common filter applied before every rule in the event handler.
Technical Deep Dive: The correct answer is C. Data selectors prevent analysts from repeating the same filtering logic in each event-handler rule. They narrow the data evaluated by the handler using device, subnet, and log-field criteria before individual rules are processed. Option A is wrong because data selectors do not control what FortiAnalyzer accepts from registered devices. Option B is invented; they do not download filters. Option D is too broad because a data selector is applied to selected handlers, not automatically to all event handlers at the same time.
NEW QUESTION # 82
Refer to the exhibit.
What can you conclude about the output?
Answer: C
Explanation:
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 # 83
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