QUESTION: 9

You created a playbook on FortiAnalyzer that uses a FortiOS connector.
When configuring the FortiGate side, which type of trigger must be used so that the actions in an automation stich are available in the FortiOS connector?

FortiAnalyzer Event Handler
Fabric Connector event
FortiOS Event Log
Incoming webhook

Answer(s): D

Explanation:

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.

Reference:

According to FortiOS and FortiAnalyzer documentation, when integrating FortiAnalyzer playbooks with FortiGate automation stitches, the recommended trigger type on FortiGate is an Incoming Webhook, allowing FortiAnalyzer to interact with FortiGate's automation framework through the FortiOS connector.

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QUESTION: 10

When managing incidents on FortiAnlyzer, what must an analyst be aware of?

You can manually attach generated reports to incidents.
The status of the incident is always linked to the status of the attach event.
Severity incidents rated with the level High have an initial service-level agreement (SLA) response time of 1 hour.
Incidents must be acknowledged before they can be analyzed.

Answer(s): A

Explanation:

In FortiAnalyzer's incident management system, analysts have the option to manually manage incidents, which includes attaching relevant reports to an incident for further investigation and documentation. This feature allows analysts to consolidate information, such as detailed reports on suspicious activity, into an incident record, providing a comprehensive view for incident response. Let's review the other options to clarify why they are incorrect:
Option A: You can manually attach generated reports to incidents This is correct. FortiAnalyzer allows analysts to manually attach reports to incidents, which is beneficial for providing additional context, evidence, or analysis related to the incident. This functionality is part of the incident management process and helps streamline information for tracking and resolution.
Option B: The status of the incident is always linked to the status of the attached event This is incorrect. The status of an incident on FortiAnalyzer is managed independently of the status of any attached events. An incident can contain multiple events, each with different statuses, but the incident itself is tracked separately.
Option C: Severity incidents rated with the level High have an initial service-level agreement (SLA) response time of 1 hour
This is incorrect.
While incidents have severity levels, specific SLA response times are typically set according to the organization's incident response policy, and FortiAnalyzer does not impose a default SLA response time of 1 hour for high-severity incidents. Option D: Incidents must be acknowledged before they can be analyzed This is incorrect. Incidents on FortiAnalyzer can be analyzed even if they are not yet acknowledged. Acknowledging an incident is often part of the workflow to mark it as being actively addressed, but it is not a prerequisite for analysis.

Reference:

According to FortiAnalyzer documentation, analysts can attach reports to incidents manually, making option A correct. This feature enables better tracking and documentation within the incident management system on FortiAnalyzer.

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QUESTION: 11

Why must you wait for several minutes before you run a playbook that you just created?

FortiAnalyzer needs that time to parse the new playbook.
FortiAnalyzer needs that time to debug the new playbook.
FortiAnalyzer needs that time to back up the current playbooks.
FortiAnalyzer needs that time to ensure there are no other playbooks running.

Answer(s): A

Explanation:

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.

Reference:

FortiAnalyzer documentation states that after creating a playbook, a brief delay is expected as the system parses and validates the playbook. This ensures that any syntax errors or logical inconsistencies are resolved before the playbook is executed, making option A the correct answer.

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QUESTION: 12

Exhibit.

What can you conclude about the output?

The message rate being lower that the log rate is normal.
Both messages and logs are almost finished indexing.
There are more traffic logs than event logs.
The output is ADOM specific

Answer(s): A

Explanation:

In this output, we see two diagnostic commands executed on a FortiAnalyzer device:
diagnose fortilogd lograte: This command shows the rate at which logs are being processed by the FortiAnalyzer in terms of log entries per second.
diagnose fortilogd msgrate: This command displays the message rate, or the rate at which individual messages are being processed.
The values provided in the exhibit output show:
Log rate (lograte): Consistently high, showing values such as 70.0, 132.1, and 133.3 logs per second over different time intervals.
Message rate (msgrate): Lower values, around 1.4 to 1.6 messages per second.
Explanation
Interpretation of log rate vs. message rate: In FortiAnalyzer, the log rate typically refers to the rate of logs being stored or indexed, while the message rate refers to individual messages within these logs. Given that a single log entry can contain multiple messages, it's common to see a lower message rate relative to the log rate.
Understanding normal operation: In this case, the message rate being lower than the log rate is expected and typical behavior. This discrepancy can arise because each log entry may bundle multiple related messages, reducing the message rate relative to the log rate.
Conclusion
Correct Answe r : A. The message rate being lower than the log rate is normal. This aligns with the normal operational behavior of FortiAnalyzer in processing logs and messages. There is no indication that both logs and messages are nearly finished indexing, as that would typically show diminishing rates toward zero, which is not the case here. Additionally, there's no information in this output about specific ADOMs or a comparison between traffic logs and event logs. Thus, options B, C, and D are incorrect.

Reference:

FortiOS 7.4.1 and FortiAnalyzer 7.4.1 command guides for diagnose fortilogd lograte and diagnose fortilogd msgrate.

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