Fortinet FCP_FAZ_AN-7.6 Dumps

In the exhibit, we see a playbook in FortiAnalyzer designed to retrieve events based on specific criteria, create an incident, and attach relevant data to that incident. The "Get Event" task configuration specifies filters to match any of the following conditions:

Severity= High

Event Type= Web Filter

Tag= Malware

Analysis of Events:

In the FortiAnalyzer Event Monitor list:

We need to identify events that meet any one of the specified conditions (since the filter is set to "Match Any Condition").

Events Matching Criteria:

Severity = High:

There are two events with "High" severity, both with the "Event Type" IPS.

Event Type = Web Filter:

There are two events with the "Event Type" Web Filter. One has a "Medium" severity, and the other has a "Low" severity.

Tag = Malware:

There are two events tagged with "Malware," both with the "Event Type" Antivirus and "Medium" severity.

After filtering based on these criteria, there arefour distinct events:

Two from the "Severity = High" filter.

One from the "Event Type = Web Filter" filter.

One from the "Tag = Malware" filter.

Conclusion:

Correct Answer:D. Four events will be added.

This answer matches the conditions set in the playbook filter configuration and the events listed in the Event Monitor.

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 Disabling auto-cache is generally not necessary unless there is an issue with outdated data being used.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.

To viewCompromised Hostson FortiAnalyzer, certain configurations need to be in place on both FortiGate and FortiAnalyzer. Compromised Host data on FortiAnalyzer relies on log information from FortiGate to analyze threats and compromised activities effectively. Here’s why the selected answers are correct:

Option A: Enable device detection on the FortiGate devices that are sending logs to FortiAnalyzer

Enabling device detection on FortiGate allows it to recognize and log devices within the network, sending critical information about hosts that could be compromised. This is essential because FortiAnalyzer relies on these logs to determine which hosts may be at risk based on suspicious activities observed by FortiGate. This setting enables FortiGate to provide device-level insights, which FortiAnalyzer uses to populate the Compromised Hosts view.

Option B: Enable web filtering in firewall policies on FortiGate devices, and make sure these logs are sent to FortiAnalyzer

Web filtering is crucial in identifying potentially compromised hosts since it logs any access to malicious sites or blocked categories. FortiAnalyzer uses these web filter logs to detect suspicious or malicious web activity, which can indicate compromised hosts. By ensuring that FortiGate sends these web filtering logs to FortiAnalyzer, the administrator enables FortiAnalyzer to analyze and identify hosts engaging in risky behavior.

Let’s review the otheroptions for clarity:

Option C: Make sure all endpoints are reachable by FortiAnalyzer

This is incorrect. FortiAnalyzer does not need direct access to all endpoints. Instead, it collects data indirectly from FortiGate logs. FortiGate devices are theones that interact with endpoints and then forward relevant logs to FortiAnalyzer for analysis.

Option D: Subscribe FortiAnalyzer to FortiGuard to keep its local threat database up to date

Although subscribing to FortiGuard helps keep threat intelligence updated, it is not a requirement specifically to view compromised hosts. FortiAnalyzer primarily uses logs from FortiGate (such as web filtering and device detection) to detect compromised hosts.

In a FortiAnalyzer Fabric, devices canparticipate in a cluster or grouping if they meet specific compatibility criteria. Based on the outputs provided, let’s evaluate these criteria:

Version Compatibility:

All three devices, FortiAnalyzer1, FortiAnalyzer2, and FortiAnalyzer3, are runningversion v7.4.1-build0238, which is the same across the board. This version alignment is crucial because FortiAnalyzer Fabric requires that devices run compatible firmware versions for seamless communication and management.

Platform Type and Configuration:

All three devices are configured asStandalonein the HA mode, which allows them to operate independently but does not restrict their participation in a FortiAnalyzer Fabric. Each device is also on theFAZVM64-KVMplatform type, ensuring hardware compatibility.

Global Settings:

Key settings such as adm-mode, adm-status, and adom-mode are consistent across all devices (adm-mode: normal, adm-status: enable, adom-mode: normal), which aligns with requirements for fabric integration and role assignment flexibility.

Each device also has thelog-forward-cache-sizeset, which is relevant for forwarding logs within a fabric environment.

Based on the above analysis,all devices(FortiAnalyzer1, FortiAnalyzer2, and FortiAnalyzer3) meet the requirements to be part of a FortiAnalyzer Fabric.

The study guide explains that in a Security Fabric,traffic logging is not duplicatedacross FortiGates for the same session:“Traffic logging for a session … is always carried out by the first FortiGate that handled it”and if a FortiGate receives traffic from a peer FortiGate MAC,“it does not generate a new traffic log for that session.”

For UTM (web filtering) logs, the study guide states:“When configured, upstream devices complete UTM logging.”

In the illustrated example, it further clarifies the role split:“All traffic from Client-1 is first received by FGT-B, which creates traffic logs for the initial session… [then] forwarded to FGT-A… [and] FGT-A … applies web filtering … and generates the relevant UTM logs as necessary.”

Because web filter profiles are configured tolog only violations, web filter (UTM) logs will be generated only when a violation is detected—and per the study guide behavior, that UTM logging is done by theupstreamFortiGate (FGT-A). Therefore,only FGT-A will create web filter logs if it detects a violation(Option D).

Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:

The study guide explicitly describes what content fromFabric membersis visible/usable on theFabric supervisor:

Logs:“In the FortiAnalyzer Fabric supervisor,Log View displays logs collected on all FortiAnalyzer Fabric members.”

Reports:“For reports, the FortiAnalyzer Fabric supervisorcan fetch and aggregate data from multiple membersin the FortiAnalyzer Fabric.”

Events:“Events generated by event handlers on the FortiAnalyzer Fabric members are visible on the supervisor.”

By contrast, the study guide lists a key limitation that rules outPlaybooksas a supervisor capability over members: “You are not able to perform configuration changes or torun automation playbooks from the Fabric supervisor to members.”

Therefore, the three modules available for analysis on the supervisor areLogs, Events, and Reports(C, D, E).

Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:

The exhibit shows the eventEvent Status = MitigatedandEvent Type = Web Filter, with the event message indicating the web request wasblocked.

The study guide definesMitigatedevents as follows:“Mitigated: The security risk is mitigated by being blocked or dropped.”This means a mitigated status corresponds to enforcement that prevented the risk (block/drop), not a condition where the source is isolated.

It also distinguishesContainedevents from mitigated ones:“Contained: The risk source is isolated.”Since the exhibit clearly showsMitigated(not Contained), optionBis incorrect.

Additionally, the study guide notes:“Generally, you can acknowledge mitigated events because the related traffic was blocked by the firewall.”This aligns directly with the exhibit’s “blocked” wording and supports that the correct interpretation is that the security risk was blocked.

Finally, the event type displayed isWeb Filter, not application control, so optionDis incorrect.

Therefore, the correct statement isC. The security risk was blocked.

Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:

The exhibit shows the log as a single-line key/value entry (not a columnar/table display), which aligns with FortiAnalyzer’sraw log formatview option. The study guide states:“You can toggle between viewing formatted and raw logs.”This directly supports observationD.

At the same time, what you are viewing in FortiAnalyzer Log View isnormalizeddata (FortiAnalyzer parses and maps device logs into standardized fields for consistent searching and analysis). The study guide explicitly states:“The log view allows you to view all log types received by FortiAnalyzer in normalized log format.”It also explains that FortiAnalyzer “uses predefined parsers to extract key fields from ingested logs and maps them to a consistent, standardized set of field names,” then stores them as normalized logs in the SIEM database. This supports observationA.

Finally, the study guide clarifies that even when you switch to raw log format in FortiAnalyzer, you are still observing the normalized-field representation produced by FortiAnalyzer’s parser/normalization process (rather than the untouched original device message). It notes that a FortiGate event log “has been normalized by FortiAnalyzer,” and when you switch “to raw log format,” you can observe the effect of normalization on common fields. This is whyCis not the best description for the exhibit.

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 thenormal 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.

The exhibit shows a graph that tracks two metrics over time:Receive RateandInsert 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, theInsert Rateline is above theReceive Rateline, 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.

Comprehensive and Detailed Explanation From Exact Extract of knowledge of FortiAnalyzer 7.6 Study guide documents:

FortiAnalyzer’s ingestion pipeline does not “drop” logs simply because a parser is unavailable. The study guide states that when devices send logs,“Logs received are decompressed and saved in a log file on the FortiAnalyzer disk”(with a .log extension). This establishes that the raw log is still accepted and stored on disk as part of the normal workflow.

Normalization, however, depends on having a suitable parser. The study guide explains that“FortiAnalyzer uses predefined parsers to extract key fields from ingested logs and maps them to a consistent, standardized set of field names.”It further emphasizes that“Log parsers … are central to log normalization”because they convert unstructured/native logs into a standardized schema.

Therefore, ifno matching parserexists for a given device log, FortiAnalyzer can stillstore the incoming log(it is received, decompressed, and written to disk), but it cannot perform the “extract key fields” and “map to standardized field names” steps required for normalization. In practical terms, the log remains in its native/unstructured form (not normalized), which aligns exactly with optionC.