FCP_FAZ_AN-7.4 Sample Questions Answers

The command diagnose sql status sqlreportd is used in FortiAnalyzer to obtain specific information about the SQL reporting process and caching status. Here’s what this command accomplishes and an analysis of each option:

Command Functionality:

sqlreportd is the FortiAnalyzer daemon responsible for managing SQL-based reporting processes.

The diagnose sql status sqlreportd command provides information on active SQL query connections and the hcache (historical cache) status, which helps in monitoring and troubleshooting SQL report generation.

Option Analysis:

Option A - To View a List of Scheduled Reports:

This option is incorrect because the command does not list scheduled reports. Instead, it focuses on SQL reporting processes and cache details.

Option B - To List the Current SQL Processes Running:

While the command may show active SQL connections, its primary focus is not a detailed list of all SQL processes but rather the connections and cache status for reporting.

Option C - To Display the SQL Query Connections and hcache Status:

This is correct. The command specifically provides information on SQL query connections related to the reporting process (sqlreportd) and displays the hcache status.

Option D - To Identify the Database Log Insertion Status:

This is incorrect. The command does not provide details on log insertion status. Log insertion status is typically monitored through different diagnostic commands focused on database processes and log handling.

Conclusion:

Correct Answer: C. To display the SQL query connections and hcache status

This command is used to monitor SQL reporting activities and cache status, aiding in the analysis of report generation performance and connection health.

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.

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 Answer: 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.

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.

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.

In FortiOS 7.4.1 and FortiAnalyzer 7.4.1, the "Unhandled" status in logs typically signifies that the FortiGate encountered a security event but did not take any specific action to block or alter it. This usually occurs in the context of Intrusion Prevention System (IPS) logs.

IPS logs with action=pass: When the IPS engine inspects traffic and determines that it does not match any known attack signatures or violate any configured policies, it assigns the action "pass". Since no action is taken to block or modify this traffic, the status is logged as "Unhandled."

Let's look at why the other options are incorrect:

An AV log with action=quarantine: Antivirus (AV) logs with the action "quarantine" indicate that a file was detected as malicious and moved to quarantine. This is a definitive action, so the status wouldn't be "Unhandled."

A WebFilter log will action=dropped: WebFilter logs with the action "dropped" indicate that web traffic was blocked according to the configured web filtering policies. Again, this is a specific action taken, not an "Unhandled" event.

An AppControl log with action=blocked: Application Control logs with the action "blocked" mean that an application was denied access based on the defined application control rules. This is also a clear action, not "Unhandled."