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 FortiOS and FortiAnalyzer, incident notifications can be sent to multiple external platforms, not limited to a single method such as email. Fortinet's security fabric and integration capabilities allow notifications to be sent through various fabric connectors and third-party integrations. This flexibility is designed to ensure that incident updates reach relevant personnel or systems using preferred communication channels, such as email, Syslog, SNMP, or integration with SIEM platforms.

Let’s review each answer option for clarity:

Option A: You can send notifications to multiple external platforms

This is correct. Fortinet’s notification system is capable of sending updates to multiple platforms, thanks to its support for fabric connectors and external integrations. This includes options such as email, Syslog, SNMP, and others based on configured connectors.

Option B: Notifications can be sent only by email

This is incorrect. Although email is a common method, FortiOS and FortiAnalyzer support multiple notification methods through various connectors, allowing notifications to be directed to different platforms as per the organization’s setup.

Option C: If you use multiple fabric connectors, all connectors must have the same settings

This is incorrect. Each fabric connector can have its unique configuration, allowing different connectors to be tailored for specific notification and integration requirements.

Option D: Notifications can be sent only when an incident is updated or deleted

This is incorrect. Notifications can be sent upon the creation of incidents, as well as upon updates or deletion, depending on the configuration.

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.

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.

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 log entries. 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.