FCP_FAZ_AN-7.4 Exam Dumps - FCP - FortiAnalyzer 7.4 Analyst

In a FortiAnalyzer Fabric, devices can participate in a cluster or grouping if they meet specific compatibility criteria. Based on the outputs provided, let’s evaluate these criteria:

Version Compatibility:

All three devices, FortiAnalyzer1, FortiAnalyzer2, and FortiAnalyzer3, are running version v7.4.1-build0238, which is the same across the board. This version alignment is crucial because FortiAnalyzer Fabric requires that devices run compatible firmware versions for seamless communication and management.

Platform Type and Configuration:

All three devices are configured as Standalone in the HA mode, which allows them to operate independently but does not restrict their participation in a FortiAnalyzer Fabric. Each device is also on the FAZVM64-KVM platform type, ensuring hardware compatibility.

Global Settings:

Key settings such as adm-mode, adm-status, and adom-mode are consistent across all devices (adm-mode: normal, adm-status: enable, adom-mode: normal), which aligns with requirements for fabric integration and role assignment flexibility.

Each device also has the log-forward-cache-size set, which is relevant for forwarding logs within a fabric environment.

Based on the above analysis, all devices (FortiAnalyzer1, FortiAnalyzer2, and FortiAnalyzer3) meet the requirements to be part of a FortiAnalyzer Fabric.

In FortiAnalyzer’s SQL query syntax, the typical order for querying the database follows the standard SQL format, which is:

SELECT FROM <title> WHERE GROUP BY

Option D correctly follows this structure:

SELECT devid FROM $log: This specifies that the query is selecting the devid column from the $log table.

WHERE 'user' = ': This part of the query is intended to filter results based on a condition involving the user column. Although there appears to be a minor typographical issue (possibly missing the user value after =), it structurally adheres to the correct SQL order.

GROUP BY devid: This groups the results by devid, which is correctly positioned at the end of the query.

Let’s briefly examine why the other options are incorrect:

Option A: SELECT devid FROM $log GROUP BY devid WHERE 'user', 'users1'

This is incorrect because the GROUP BY clause appears before the WHERE clause, which is out of order in SQL syntax.

Option B: SELECT FROM $log WHERE devid 'user', USER1' GROUP BY devid

This is incorrect because it lacks a column in the SELECT statement and the WHERE clause syntax is malformed.

Option C: SELCT devid WHERE 'user' - 'USER1' FROM $log GROUP BY devid

This is incorrect because the SELECT keyword is misspelled as SELCT, and the WHERE condition syntax is invalid.

To view Compromised Hosts on FortiAnalyzer, certain configurations need to be in place on both FortiGate and FortiAnalyzer. Compromised Host data on FortiAnalyzer relies on log information from FortiGate to analyze threats and compromised activities effectively. Here’s why the selected answers are correct:

Option A: Enable device detection on the FortiGate devices that are sending logs to FortiAnalyzer

Enabling device detection on FortiGate allows it to recognize and log devices within the network, sending critical information about hosts that could be compromised. This is essential because FortiAnalyzer relies on these logs to determine which hosts may be at risk based on suspicious activities observed by FortiGate. This setting enables FortiGate to provide device-level insights, which FortiAnalyzer uses to populate the Compromised Hosts view.

Option B: Enable web filtering in firewall policies on FortiGate devices, and make sure these logs are sent to FortiAnalyzer

Web filtering is crucial in identifying potentially compromised hosts since it logs any access to malicious sites or blocked categories. FortiAnalyzer uses these web filter logs to detect suspicious or malicious web activity, which can indicate compromised hosts. By ensuring that FortiGate sends these web filtering logs to FortiAnalyzer, the administrator enables FortiAnalyzer to analyze and identify hosts engaging in risky behavior.

Let’s review the other options for clarity:

Option C: Make sure all endpoints are reachable by FortiAnalyzer

This is incorrect. FortiAnalyzer does not need direct access to all endpoints. Instead, it collects data indirectly from FortiGate logs. FortiGate devices are the ones that interact with endpoints and then forward relevant logs to FortiAnalyzer for analysis.

Option D: Subscribe FortiAnalyzer to FortiGuard to keep its local threat database up to date

Although subscribing to FortiGuard helps keep threat intelligence updated, it is not a requirement specifically to view compromised hosts. FortiAnalyzer primarily uses logs from FortiGate (such as web filtering and device detection) to detect compromised hosts.

When using FortiAnalyzer to create playbooks that interact with FortiOS devices, an Incoming Webhook trigger is required on the FortiGate side to make the actions in an automation stitch accessible through the FortiOS connector. The incoming webhook trigger allows FortiAnalyzer to initiate actions on FortiGate by sending HTTP POST requests to specified endpoints, which in turn trigger automation stitches defined on the FortiGate.

Here’s an analysis of each option:

Option A: FortiAnalyzer Event Handler

This is incorrect. The FortiAnalyzer Event Handler is used within FortiAnalyzer itself for handling log events and alerts, but it does not trigger automation stitches on FortiGate.

Option B: Fabric Connector event

This is incorrect. Fabric Connector events are related to Fortinet's Security Fabric integrations but are not specifically used to trigger FortiGate automation stitches from FortiAnalyzer.

Option C: FortiOS Event Log

This is incorrect. While FortiOS event logs can be used for monitoring, they are not designed to trigger automation stitches directly from FortiAnalyzer.

Option D: Incoming webhook

This is correct. The Incoming Webhook trigger on FortiGate enables it to receive requests from FortiAnalyzer, allowing playbooks to activate automation stitches defined on the FortiGate device. This method is commonly used to integrate actions from FortiAnalyzer to FortiGate via the FortiOS connector.

FortiAnalyzer manages and stores various types of logs, including local logs, across different ADOMs (Administrative Domains). Each type of log serves specific 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 Logs provide 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 Logs are 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 ADOM and C. 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.