Fortinet Updated FCP_FAZ_AN-7.4 Exam Questions and Answers by digby

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.

References:

FortiAnalyzer 7.4.1 documentation on log filters, syntax for login operations, and GUI login tracking.

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.

References: 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​.

In FortiAnalyzer, when a playbook is run, each task’s status impacts the overall playbook status. Here’s what happens based on task outcomes:

Status When All Tasks Succeed:

If all tasks finish successfully, the playbook status is marked as Success.

Status When Some Tasks Fail:

If one or more tasks in the playbook fail, but others succeed, the playbook status generally changes to Attention required. This status indicates that the playbook completed execution but requires review due to one or more tasks failing.

This is different from a complete Failed status, which is used if the playbook cannot proceed due to a critical error in an early task, often one that upstream tasks depend on.

Option Analysis:

A. Attention required: This is correct as the playbook has completed, but with partial success and a task requiring review.

B. Upstream_failed: This status is used if a task cannot run because a prerequisite or "upstream" task failed. Since four out of five tasks completed, this is not the case here.

C. Failed: This status would imply that the playbook completely failed, which does not match the scenario where only one task out of five failed.

D. Success: This status would apply if all tasks had completed successfully, which is not the case here.

Conclusion:

Correct Answer: A. Attention required

The playbook status reflects that it completed, but an error occurred in one of the tasks, prompting the administrator to review the failed task.

References:

FortiAnalyzer 7.4.1 documentation on playbook execution statuses and task error handling.

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 for selecting, 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 dstport DESC: 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.

References:

FortiAnalyzer 7.4.1 SQL query capabilities and syntax for report customization.