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| Vendor: | Fortinet |
|---|---|
| Exam Code: | FCP_FAZ_AN-7.6 |
| Exam Name: | Fortinet NSE 5 - FortiAnalyzer 7.6 Analyst |
| Exam Questions: | 79 |
| Last Updated: | August 22, 2026 |
| Related Certifications: | NSE 5, NSE 5: Security Operations |
| Exam Tags: |
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Exhibit.

What can you conclude about these search results? (Choose two.)
Study Guide p.58: Log View search results can be downloaded, and raw/text filtering helps with exact field syntax.
Technical Deep Dive: The correct answers are A and D. FortiAnalyzer Log View allows administrators to download filtered logs as text or CSV, so the displayed search results can be exported to a file. The exhibit also indicates a text-mode search/filter rather than a purely GUI-built filter. Option B would be true for formatted log tables in general, but the question asks what can be concluded from the displayed search results. Option C is not supported; whether FortiView can analyze related data depends on whether the logs are analytics logs, not merely on the search display.
Which statement correctly describes one difference between templates and reports?
Study Guide p.172: templates include only Editor-tab details and do not include report settings or advanced settings.
Technical Deep Dive: The correct answer is C. Templates define the report layout: text, charts, and macros. They do not carry report settings such as the report time range, selected devices, scheduling, filters, output profile, or advanced settings. Reports include those operational settings. Option A is wrong because templates can include macros. Option B is wrong because both reports and templates can be cloned. Option D is imprecise: reports/charts can be imported/exported between same-type ADOMs, while templates are not exported directly, but the tested difference is settings.
Your organization has deployed FortiAnalyzer 7.6 in a Security Fabric environment with multiple FortiGate devices, FortiProxy, and FortiEndpoint endpoints. You notice that while FortiGate logs are arriving normally, endpoint telemetry from FortiEndpoint is intermittent and incomplete. You check the log collection configuration and confirm that the endpoints are registered in the Fabric. What should you investigate first to diagnose the root cause of incomplete endpoint data ingestion?
In a Security Fabric environment, endpoint devices like FortiEndpoint must establish secure connections to FortiAnalyzer's log collection endpoints. The most common cause of intermittent or incomplete telemetry is connectivity or trust issues—endpoints cannot send data if they cannot reach the collector on the required ports, or if certificate validation fails. Checking connectivity and certificate trust is the correct diagnostic first step.
Increasing log retention does not address data ingestion problems—retention affects how long logs are kept, not whether they arrive. Disabling normalization rules is inappropriate because this would affect all log processing, not diagnose a collection issue. FortiAnalyzer's log collection in Security Fabric uses push from managed devices; there is no pull mode for endpoint telemetry collection.
Refer to the exhibit.

What can you conclude about the output?
Study Guide p.139: one compressed log message can contain multiple logs; message/log rate differences should be interpreted carefully.
Technical Deep Dive: The correct answer is C. If the exhibit shows message rate higher than log rate, that is not the normal relationship highlighted in the guide. FortiAnalyzer explains the normal case where one log message can contain multiple logs, making log rate higher than message rate. Options A and B cannot be concluded without indexing-completion or log-type breakdown information. Option D is wrong because these fortilogd rate outputs are not ADOM-specific unless a specific ADOM-scoped command is used.
Your SOC team has configured event handlers in FortiAnalyzer 7.6 to automatically escalate high-severity incidents to a ticketing system when specific log patterns are detected. During a security incident, you notice that the event handler triggered correctly and created a ticket, but the playbook that should have automatically collected forensic data from the affected endpoints did not execute. The playbook is enabled and the fabric automation setting is active. What should you check first to diagnose this playbook execution failure?
When a playbook is enabled and fabric automation is active but the playbook does not execute in response to an event, the first diagnostic step is to verify that the playbook's trigger conditions and filter criteria actually match the attributes of the incident being generated. Playbooks only execute when their defined conditions are met; if the severity threshold, log type, or other filter criteria do not match the actual incident data, the playbook will not run. Administrator password expiration does not prevent playbook execution. Manual acknowledgment of incidents does not prevent playbooks from triggering. Certificate renewal is a lower-probability cause because fabric automation was already stated to be active (indicating current connectivity). API rate limiting would typically affect multiple requests, not just one playbook, and would be evident in logs. The correct troubleshooting approach is to review the playbook definition and compare its trigger logic against the incident that was created.
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