Fortinet FCP_FAZ_AN-7.6 - Fortinet NSE 5 - FortiAnalyzer 7.6 Analyst

When a generated report does not include the expected information despite the logs being present, there are several factors to check to ensure accurate datarepresentation in the report.

Option A - Check the Time Frame Covered by the Report:

Reports are generated based on a specified time frame. If the time frame does not encompass the period when the relevant logs were collected, those logs will not appear in the report. Ensuring the time frame is correctly set to cover the intended logs is crucial for accurate report content.

Conclusion:Correct.

Option B - Disable Auto-Cache:

Auto-cache is a feature in FortiAnalyzer that helps optimize report generation by using cached data for frequently used datasets. Disabling auto-cache is generally not necessary unless there is an issue with outdated data being used. In most cases, it does not directly impact whether certain logs are included in a report.

Conclusion:Incorrect.

Option C - Increase the Report Utilization Quota:

The report utilization quota controls the resource limits for generating reports. While insufficient quota might prevent a report from generating or completing, it does not typically cause specific log entries to be missing. Therefore, this option is not directly relevant to missing data within the report.

Conclusion:Incorrect.

Option D - Test the Dataset:

Datasets in FortiAnalyzer define which logs and fields are pulled into the report. If a dataset is misconfigured, it could exclude certain logs. Testing the dataset helps verify that the correct data is being pulled and that all required logs are included in the report parameters.

Conclusion:Correct.

Conclusion:

Correct Answer:A. Check the time frame covered by the reportandD. Test the dataset.

These actions directly address the issues that could cause missing information in a report when logs are available but not displayed.

When using FortiAnalyzer to create playbooks that interact with FortiOS devices, anIncoming Webhooktrigger 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 fromFortiAnalyzer, 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.

When a new playbook is created on FortiAnalyzer, the system requires some time toparse and validatethe 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.

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.

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

SELECT FROM

GROUP BY

Option Dcorrectly 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.

[: FortiAnalyzer documentation for SQLqueries indicates that the standard SQL order should be followed when querying logs in FortiAnalyzer. Queries should follow the format SELECT ... FROM ... WHERE ... GROUP BY ..., as demonstrated in option D​., ]

Question # 17

Exhibit.

Which statement about the event displayed is correct?

A.

The risk source is isolated.

B.

The security risk was blocked or dropped.

C.

The security event risk is considered open.

D.

An incident was created from this event.

View Answer Next Question

The Answer Is:

C

Question # 18

Which two statements about exporting and importing playbacks are true? (Choose two.)

A.

A playbook that was disabled when it was exported mil be disabled when it is imported.

B.

Playbooks can soimported 10 a different FortiAnayzer device, but only if the connectors already exist

C.

You can import a playbook even if there is another one win the same name in the destination

D.

You can export only one playbook at a time.

View Answer Next Question

The Answer Is:

A, B

Question # 19

Exhibit.

What can you conclude from this output?

A.

There is not disk quota allocated to quarantining files.

B.

FGT_B is the Security Fabric root.

C.

The allocated disk quote to ADOM1 is 3 GB.

D.

Archive logs are using more space than analytic logs.

View Answer Next Question

The Answer Is:

B

Question # 20

You find that as part of your role as an analyst, you frequently search log View using the same parameters.

Instead of defining your search filters repeatedly, what can you do to save time?

A.

Configure a custom dashboard.

B.

Configure a custom view.

C.

Configure a data selector.

D.

Configure a marco and apply it to device groups.

View Answer Next Question

The Answer Is:

B

Good news! This question has an explanation. Do you want to see it?

View Explanation

Explanation:

When you frequently use the same search parameters in FortiAnalyzer’s Log View, setting up a reusable filter or view can saveconsiderable time. Here’s an analysis of each option:

Option A - Configure a Custom Dashboard:

Custom dashboards are useful for displaying a variety of widgets and summaries on network activity, performance, and threat data, but they are not designed for storing specific search filters for log views.

Conclusion:Incorrect.

Option B - Configure a Custom View:

Custom views in FortiAnalyzer allow analysts to save specific search filters and configurations. By setting up a custom view, you can retain your frequently used search parameters and quickly access them without needing to reapply filters each time. This option is specifically designed to streamline the process of recurring log searches.

Conclusion:Correct.

Option C - Configure a Data Selector:

Data selectors are used to define specific types of data for FortiAnalyzer reports and widgets. They are useful in reports but are not meant for saving and reusing log search parameters in Log View.

Conclusion:Incorrect.

Option D - Configure a Macro and Apply It to Device Groups:

Macros in FortiAnalyzer are generally used for automation tasks, not for saving log search filters. Applying macros to device groups does not fulfill the requirement of saving specific log view search parameters.

Conclusion:Incorrect.

Conclusion:

Correct Answer:B. Configure a custom view.

Custom views allow you to save specific search filters, enabling quick access to frequently used parameters in Log View.

[References:, FortiAnalyzer 7.4.1 documentation on creating and using custom views for log searches., ]

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