Fortinet Fortinet NSE 5 - FortiAnalyzer 7.6 Analyst FCP_FAZ_AN-7.6 Exam Dumps: Updated Questions & Answers (January 2026)

When an incident in FortiAnalyzer is identified as a false positive and its status is updated to "Closed: False Positive," certain records and logs are updated to reflect this change.

Option A - The Audit History Log Will Be Updated:

FortiAnalyzer maintains an audit history log that records changes to incidents, including updates to their status. When an incident status is marked as "Closed: False Positive," this action is logged in the audit history to ensure traceability of changes. This log provides accountability and a record of how incidents have been handled over time.

Conclusion:Correct.

Option B - The Corresponding Event Will Be Marked as Mitigated:

Changing an incident to "Closed: False Positive" does not affect the status of the original event itself. Marking an incident as a false positive signifies that it does not represent a real threat, but it does not imply that the event has been mitigated.

Conclusion:Incorrect.

Option C - The Incident Will Be Deleted:

Marking an incident as "Closed: False Positive" does not delete the incident from FortiAnalyzer. Instead, it updates the status to reflect that it is not a real threat, allowing for historical analysis and preventing similar false positives in the future. Deletion would typically only occur manually or by a different administrative action.

Conclusion:Incorrect.

Option D - The Incident Number Will Be Changed:

The incident number is a unique identifier and does not change when thestatus of the incident is updated. This identifier remains constant throughout the incident's lifecycle for tracking and reference purposes.

Conclusion:Incorrect.

Conclusion:

Correct Answer:A. The audit history log will be updated.

This is the most accurate answer, as the update to "Closed: False Positive" is recorded in FortiAnalyzer’s audit history log for accountability and tracking purposes.

The requirement here is to construct a SQL query that retrieves logs with specific fields, namely "Source IP" and "Destination Port," for entries where the source IP address matches 10.0.1.10. The correct syntax is essential forselecting, filtering, ordering, and grouping the results as shown in the expected outcome.

Analysis of the Options:

Option A Explanation:

SELECT srcip AS "Source IP", dstport AS "Destination Port": This syntax selects srcip and dstport, renaming them to "Source IP" and "Destination Port" respectively in the output.

FROM $log: Specifies the log table as the data source.

WHERE $filter AND srcip = '10.0.1.10': This line filters logs to only include entries with srcip equal to 10.0.1.10.

ORDER BY dstportDESC: Orders the results in descending order by dstport.

GROUP BY srcip, dstport: Groups results by srcip and dstport, which is valid SQL syntax.

This option meets all the requirements to get the expected results accurately.

Option B Explanation:

WHERE $filter AND Source IP != '10.0.1.10': Uses != instead of =. This would exclude logs from the specified IP 10.0.1.10, which is contrary to the expected result.

Option C Explanation:

The ORDER BY clause appears before the FROM clause, which is incorrect syntax. SQL requires the FROM clause to follow the SELECT clause directly.

Option D Explanation:

The GROUP BY clause should follow the FROM clause. However, here, it’s located after WHERE, making it syntactically incorrect.

Conclusion:

Correct Answer:A. Option A

This option aligns perfectly with standard SQL syntax and filters correctly for srcip = '10.0.1.10', while ordering and grouping as required.

To ensure that reports generated by FortiAnalyzer are automatically sent to an email inbox, you need to set up an output profile for the reports. Output profiles specify where and how reports should be delivered, including the option to send them via email.

Option A - Enable the Option to Email All Reports Under the Mail Server:

The mail server configuration allows FortiAnalyzer to send emails but does not automatically enable email distribution for reports. This setting alone does not specify which reports to send or to whom.

Conclusion:Incorrect.

Option B - Add a mailto:<email address> Option Within the Report Layouts:

Adding an email address within the report layout is not a standard configuration option for report distribution. Report layouts define the format andcontent of the report but not its distribution method.

Conclusion:Incorrect.

Option C - Enable Email Notification Under the Report Calendar:

The report calendar is used to schedule when reports are generated. While it triggers report generation at specific times, it does not handle email distribution. Emailing reports requires a configured output profile.

Conclusion:Incorrect.

Option D - Enable an Output Profile on the Reports:

An output profile can be configured on FortiAnalyzer to define delivery options, including emailing the report to specified recipients. This setup ensures that every time a report is generated according to the schedule, it is automatically emailed to the configured address.

Conclusion:Correct.

Conclusion:

Correct Answer:D. Enable an output profile on the reports.

Configuring an output profile is the correct way to set up automatic email distribution of generated reports in FortiAnalyzer.

Option A - Purging Log Entries:

A SELECT query in SQL is used to retrieve data from a database and does not have the capability to delete or purge logentries. Purging logs typically requires a DELETE or TRUNCATE command.

Conclusion:Incorrect.

Option B - WHERE Clause Requirement:

In SQL, a SELECT query does not require a WHERE clause. The WHERE clause is optional and is used only when filtering results. A SELECT query can be executed without it, meaning this statement is false.

Conclusion:Incorrect.

Option C - Displaying Database Schema:

A SELECT query retrieves data from specified tables, but it is not used to display the structure or schema of the database. Commands like DESCRIBE, SHOW TABLES, or SHOW COLUMNS are typically used to view schema information.

Conclusion:Incorrect.

Option D - Usage in Macros:

FortiAnalyzer and similar systems often use macros for automated functions or specific query-based tasks. SELECT queries are typically not included in macros because macros focus on procedural or repetitive actions, rather than simple data retrieval.

Conclusion:Correct.

Conclusion:

Correct Answer:D. They are not used in macros.

This aligns with typical SQL usage and the specific functionalities of FortiAnalyzer.

Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:

The study guide explicitly describes what content fromFabric membersis visible/usable on theFabric supervisor:

Logs:“In the FortiAnalyzer Fabric supervisor,Log View displays logs collected on all FortiAnalyzer Fabric members.”

Reports:“For reports, the FortiAnalyzer Fabric supervisorcan fetch and aggregate data from multiple membersin the FortiAnalyzer Fabric.”

Events:“Events generated by event handlers on the FortiAnalyzer Fabric members are visible on the supervisor.”

By contrast, the study guide lists a key limitation that rules outPlaybooksas a supervisor capability over members: “You are not able to perform configuration changes or torun automation playbooks from the Fabric supervisor to members.”

Therefore, the three modules available for analysis on the supervisor areLogs, Events, and Reports(C, D, E).

FortiAnalyzer manages and stores various types of logs, including local logs, across different ADOMs (Administrative Domains). Each type of log servesspecific purposes, with some logs being ADOM-specific and others providing system-wide information.

Option A - Local Logs Not Supported in FortiView:

Local logs are indeed supported in FortiView. FortiView provides visibility and analytics for different log types across the system, including local logs, allowing users to view and analyze data efficiently.

Conclusion:Incorrect.

Option B - Playbook Logs for All ADOMs in the Root ADOM:

FortiAnalyzer allows centralized viewing of playbook logs across all ADOMs from the root ADOM. This feature provides an overarching view of playbook executions, facilitating easier monitoring and management for administrators.

Conclusion:Correct.

Option C - Event Logs vs. Application Logs:

Event Logsprovide information about system-wide events, such as login attempts, configuration changes, and other critical activities that impact the overall system. These logs apply across the FortiAnalyzer instance.

Application Logsare more specific to individual ADOMs, capturing details that pertain to ADOM-specific applications and configurations.

Conclusion:Correct.

Option D - Event Logs Only in Root ADOM:

Event logs are available across different ADOMs, not exclusively in the root ADOM. They capture system-wide events, but they can be accessed within specific ADOM contexts as needed.

Conclusion:Incorrect.

Conclusion:

Correct Answer:B. You can view playbook logs for all ADOMs in the root ADOMandC. Event logs show system-wide information, whereas application logs are ADOM specific.

These answers correctly describe the characteristics and visibility of local logs within FortiAnalyzer.

The study guide explains that in a Security Fabric,traffic logging is not duplicatedacross FortiGates for the same session:“Traffic logging for a session … is always carried out by the first FortiGate that handled it”and if a FortiGate receives traffic from a peer FortiGate MAC,“it does not generate a new traffic log for that session.”

For UTM (web filtering) logs, the study guide states:“When configured, upstream devices complete UTM logging.”

In the illustrated example, it further clarifies the role split:“All traffic from Client-1 is first received by FGT-B, which creates traffic logs for the initial session… [then] forwarded to FGT-A… [and] FGT-A … applies web filtering … and generates the relevant UTM logs as necessary.”

Because web filter profiles are configured tolog only violations, web filter (UTM) logs will be generated only when a violation is detected—and per the study guide behavior, that UTM logging is done by theupstreamFortiGate (FGT-A). Therefore,only FGT-A will create web filter logs if it detects a violation(Option D).

Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:

FortiAnalyzer’s ingestion pipeline does not “drop” logs simply because a parser is unavailable. The study guide states that when devices send logs,“Logs received are decompressed and saved in a log file on the FortiAnalyzer disk”(with a .log extension). This establishes that the raw log is still accepted and stored on disk as part of the normal workflow.

Normalization, however, depends on having a suitable parser. The study guide explains that“FortiAnalyzer uses predefined parsers to extract key fields from ingested logs and maps them to a consistent, standardized set of field names.”It further emphasizes that“Log parsers … are central to log normalization”because they convert unstructured/native logs into a standardized schema.

Therefore, ifno matching parserexists for a given device log, FortiAnalyzer can stillstore the incoming log(it is received, decompressed, and written to disk), but it cannot perform the “extract key fields” and “map to standardized field names” steps required for normalization. In practical terms, the log remains in its native/unstructured form (not normalized), which aligns exactly with optionC.