Fortinet FCP_FAZ_AN-7.4 FCP - FortiAnalyzer 7.4 Analyst Exam Practice Test

The exhibit shows a graph that tracks two metrics over time: Receive Rate and Insert Rate. These two rates are crucial for understanding the log processing behavior in FortiAnalyzer.

Understanding Receive Rate and Insert Rate:

Receive Rate: This is the rate at which FortiAnalyzer is receiving logs from connected devices.

Insert Rate: This is the rate at which FortiAnalyzer is indexing (inserting) logs into its database for storage and analysis.

Data Point at 21:20:

At 21:20, the Insert Rate line is above the Receive Rate line, indicating that FortiAnalyzer is inserting logs into its database at a faster rate than it is receiving them. This situation suggests that FortiAnalyzer is able to keep up with the incoming logs and is possibly processing a backlog or temporarily received logs faster than new logs are coming in.

Option Analysis:

Option A - FortiAnalyzer is Indexing Logs Faster Than Logs are Being Received: This accurately describes the scenario at 21:20, where the Insert Rate exceeds the Receive Rate. This indicates that FortiAnalyzer is handling logs efficiently at that moment, with no backlog in processing.

Option B - The fortilogd Daemon is Ahead in Indexing by One Log: The data does not provide specific information about the fortilogd daemon’s log count, only the rates. This option is incorrect.

Option C - SQL Database Requires a Rebuild: High receive lag would imply a backlog in receiving and indexing logs, typically visible if the Receive Rate were significantly above the Insert Rate, which is not the case here.

Option D - FortiAnalyzer is Temporarily Buffering Logs to Index Older Logs First: There is no indication of buffering in this scenario. Buffering would usually occur if the Receive Rate were higher than the Insert Rate, indicating that FortiAnalyzer is storing logs temporarily due to indexing lag.

Conclusion:

Correct Answer: A. FortiAnalyzer is indexing logs faster than logs are being received.

The graph at 21:20 shows a higher Insert Rate than Receive Rate, indicating efficient log processing by FortiAnalyzer.

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 the status 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.

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.

Conclusion:

Correct Answer: D. Four events will be added.

This answer matches the conditions set in the playbook filter configuration and the events listed in the Event Monitor.

When a new playbook is created on FortiAnalyzer, the system requires some time to parse and validate the playbook before it can be executed. Parsing involves checking the playbook's structure, ensuring that all syntax and logic are correct, and preparing the playbook for execution within FortiAnalyzer’s automation engine. This initial parsing step is necessary for FortiAnalyzer to load the playbook into its operational environment correctly.

Here’s why the other options are incorrect:

Option A: FortiAnalyzer needs that time to parse the new playbook

This is correct. The delay is due to the parsing and setup process required to prepare the new playbook for execution. FortiAnalyzer’s automation engine checks for any issues or dependencies within the playbook, ensuring that it can run without errors.

Option B: FortiAnalyzer needs that time to debug the new playbook

This is incorrect. Debugging is not an automatic process that FortiAnalyzer undertakes after playbook creation. Debugging, if necessary, is a manual task performed by the administrator if there are issues with the playbook execution.

Option C: FortiAnalyzer needs that time to back up the current playbooks

This is incorrect. FortiAnalyzer does not automatically back up playbooks every time a new one is created. Backups of configuration and playbooks are typically scheduled as part of routine maintenance and are not triggered by playbook creation.

Option D: FortiAnalyzer needs that time to ensure there are no other playbooks running

This is incorrect. FortiAnalyzer can manage multiple playbooks running simultaneously, so it does not require waiting for other playbooks to finish before initiating a new one. The waiting time specifically relates to the parsing process of the newly created playbook.

Macros in FortiAnalyzer are used to streamline reporting tasks by automating data extraction and report generation. Here’s a breakdown of each option to determine the correct answer:

Option A - Macros are Predefined Templates for Reports and Cannot be Customized:

This statement is incorrect. Macros in FortiAnalyzer are not simply fixed templates; they allow for customization to tailor data extraction and reporting based on specific needs and configurations.

Conclusion: Incorrect.

Option B - Macros are Useful in Generating Excel Log Files Automatically Based on the Report Settings:

This statement is accurate. Macros in FortiAnalyzer can be configured to automate the generation of reports, including outputting log data to Excel format based on predefined report settings. This makes them especially useful for scheduled reporting and data analysis.

Conclusion: Correct.

Option C - Macros are ADOM-Specific and Each ADOM Type Has Unique Macros Relevant to that ADOM:

Macros are not limited to specific ADOMs, nor are they ADOM-specific. Macros can be applied across various ADOMs based on report configurations but are not inherently tied to or unique for each ADOM type.

Conclusion: Incorrect.

Option D - Macros are Supported Only on the FortiGate ADOMs:

This is not true. Macros in FortiAnalyzer are not restricted to FortiGate ADOMs; they can be utilized across different ADOMs that FortiAnalyzer manages.

Conclusion: Incorrect.

Conclusion:

Correct Answer: B. Macros are useful in generating excel log files automatically based on the report settings.

This answer correctly describes the functionality of macros in FortiAnalyzer, emphasizing their role in automating report generation, especially for Excel log files.

The objective is to create a filter that identifies all login attempts to the FortiAnalyzer web interface (GUI) coming from Laptop1 (IP 10.1.1.100) and excludes the admin user. This filter should match any user other than admin.

Filter Components Analysis:

Operation-login: This portion of the filter will target login actions specifically, which is correct for filtering login attempts.

performed_on==’’GUI(10.1.1.100)’: This indicates that the login attempt must occur on the GUI interface and originate from the specified IP, which matches Laptop1's IP address (10.1.1.100). This ensures that the filter only matches GUI logins from this specific device.

user!=admin: This part excludes logins by the admin user, meeting the requirement to capture only non-admin users.

Option Analysis:

Option A: Correctly specifies the Operation-login, performed_on==’’GUI(10.1.1.100)’, and user!=admin. This setup effectively filters login attempts to the GUI from Laptop1, excluding the admin user.

Option B: Uses the incorrect IP 10.1.1.120 in the performed_on filter, which does not match Laptop1's IP (10.1.1.100).

Option C: This option includes srcip==10.1.1.100 and dstip==10.1.1.210 but incorrectly specifies user==admin instead of user!=admin, which does not match the requirement to exclude admin users.

Option D: This option does not specify the performed_on field to restrict it to the GUI and only includes dstip (destination IP) without srcip. It also incorrectly uses user!-admin instead of the correct syntax user!=admin.

Conclusion:

Correct Answer: A. Operation-login and performed_on==’’GUI(10.1.1.100)’ and user!=admin

This filter precisely captures the required conditions: login attempts from Laptop1 to the GUI interface by any user except admin.

The topology shows a Security Fabric setup involving FortiGate devices (FGT-A and FGT-B) and a FortiAnalyzer for centralized logging. Let’s break down the logging and traffic flow behavior:

Traffic Flow Analysis:

Client-1 initiates web traffic directed to the internet, which is routed through FGT-B and then FGT-A before reaching the internet. This is indicated by the direction of the red-dashed arrow from Client-1 through FGT-B to FGT-A.

Policy and NAT Settings:

On FGT-B, NAT is disabled, meaning it will pass the traffic through without altering the source IP. This device has a Web Filter enabled with a policy to log violations only.

On FGT-A, NAT is enabled, and a Web Filter profile is also applied. Like FGT-B, it logs only violations for web filtering.

Logging Behavior:

Since both FortiGate devices have logging enabled for traffic and web filtering, they can create logs if conditions are met.

FGT-B will log all traffic, as per its configuration, and will also create web filter logs if it detects a violation, as the web filter profile is applied. Because NAT is disabled on FGT-B, it processes the traffic but doesn’t perform any address translation, allowing it to see the original source IP of Client-1.

FGT-A, as the Security Fabric root, will handle NAT and forward the traffic to the internet. However, in this case, the question is focused on where the traffic and web filter logs would be generated first, particularly by FGT-B.

Option Analysis:

Option A - Only FGT-B will create traffic logs: This is incorrect because FGT-B can create both traffic logs and web filter logs if it detects a violation.

Option B - FGT-B will see the MAC address of FGT-A and notify FGT-A to log: This is not how logging works in this setup. Each FortiGate logs independently based on configured policies.

Option C - FGT-B will create traffic logs and will create web filter logs if it detects a violation: This is correct, as FGT-B has logging enabled and will log traffic and web filter violations.

Option D - Only FGT-A will create web filter logs if it detects a violation: This is incorrect, as FGT-B can also log web filter violations independently.

Conclusion:

Correct Answer: C. FGT-B will create traffic logs and will create web filter logs if it detects a violation.

FGT-B is responsible for logging the traffic from Client-1 and will generate web filter logs if there is a policy violation, as configured.