Refer to the exhibit with partial output:
Your colleague exported a playbook and has sent it to you for review. You open the file in a text editor and observer the output as shown in the exhibit.
Which statement about the export is true?
The export data type is zipped.
The playbook is misconfigured.
The option to include the connector was not selected.
Your colleague put a password on the export.
In the exhibit, the data structure shows a checksum field and a data field with a long, seemingly encoded string. This format is indicative of a file that has been compressed or encoded for storage and transfer.
Export Data Type:
The data field is likely a base64-encoded string, which is commonly used to represent binary data in text format. Base64 encoding is often applied to data that has been compressed (zipped) for easier handling and transfer. The checksum field, with an MD5 hash, provides a way to verify the integrity of the data after decompression.
Option Analysis:
A. The export data type is zipped: Correct. The compressed and encoded format of the data suggests that the export is in a zipped format, allowing for efficient storage and transfer.
B. The playbook is misconfigured: There is no indication of misconfiguration in this exhibit. The presence of the checksum and data fields aligns with standard export practices.
C. The option to include the connector was not selected: There is no evidence in the output to conclude that connectors are missing. Connectors are typically listed separately and would not directly affect the checksum and encoded data structure.
D. Your colleague put a password on the export: There’s no indication of password protection in the exhibit. Password protection would likely alter the data structure, and there would be some mention of encryption.
Conclusion:
Correct Answer: A. The export data type is zipped.
This answer is consistent with the typical use of base64 encoding for compressed (zipped) data exports in FortiAnalyzer.
Exhibit.
A fortiAnalyzer analyst is customizing a SQL query to use in a report.
Which SQL query should the analyst run to get the expected results?
A)
B)
C)
D)
Option A
Option B
Option C
Option D
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.
What is the purpose of using data selectors when configuring event handlers?
They filter the types of logs that FortiAnalyzer can accept from registered devices.
They download new filters can be used in event handlers.
They apply their filter criteria to the entire event handler so that you don’t have to configure the same criteria in the individual rules.
They are common filters that can be applied simultaneously to all event handlers.
You need to move reports between two ADOMs.
Which two statements are true? (Choose two.)
The ADOMs must be compatible types.
The data and time will be appointed to the original report name to avoid conflicts.
All charts and datasets associated with the report will be imported together.
You need to convert the reports into templates first.
Exhibit.
Assume these are all the events that exist on the FortiAnalyzer device.
How many events will be added to the incident created after running this playbook?
Eleven events will be added.
Seven events will be added
No events will be added.
Four events will be added.
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 are four 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.
Exhibit.
Based on the partial outputs displayed, which devices can be members of a FotiAnalyzer Fabric?
FortiAnalayzer1 and FortiAnalyzer3
FortiAnalyzer1 and FortiAnalyzer2
FortiAnalyzer2 and FortiAnalyzer3
All devices listed can be members.
In a FortiAnalyzer Fabric, devices can participate 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 running version 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 as Standalone in the HA mode, which allows them to operate independently but does not restrict their participation in a FortiAnalyzer Fabric. Each device is also on the FAZVM64-KVM platform 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 the log-forward-cache-size set, 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.
Exhibit.
What is the purpose of using the Chart Builder feature On FortiAnalyzer?
To build a chart automatically based on the top 100 log entries
To add charts directly to generate reports in the current ADOM.
To add a new chart under FortiView to be used in new reports
To build a dataset and chart based on the filtered search results
You created a playbook on FortiAnalyzer that uses a FortiOS connector.
When configuring the FortiGate side, which type of trigger must be used so that the actions in an automation stich are available in the FortiOS connector?
FortiAnalyzer Event Handler
Fabric Connector event
FortiOS Event Log
Incoming webhook
When using FortiAnalyzer to create playbooks that interact with FortiOS devices, an Incoming Webhook trigger 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 from FortiAnalyzer, 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.
You are tasked with finding logs corresponding to a suspected attack on your network.
You need to use an interface where all identified threats within timeframe are listed and organized. You also need to be able to quickly export the information to a PDF file.
Where can you go to accomplish this task?
Log Browse
Log View
Fabric View
FortiView
Which SQL query is in the correct order to query to database in the FortiAnalyzer?
SELECT devid FROM $log GROUP BY devid WHERE ‘user’,,’ users1’
SELECT FROM $log WHERE devid ‘user’,, USER1’ GROUP BY devid
SELCT devid WHERE ’user’-‘ USER1’ FROM $log GROUP By devid
SELECT devid FROM $log WHERE ‘user’=’ GROUP BY devid
In FortiAnalyzer’s SQL query syntax, the typical order for querying the database follows the standard SQL format, which is:
SELECT Option D correctly 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. Which two statements about exporting and importing playbacks are true? (Choose two.) A playbook that was disabled when it was exported mil be disabled when it is imported. Playbooks can so imported 10 a different FortiAnayzer device, but only if the connectors already exist You can import a playbook even if there is another one win the same name in the destination You can export only one playbook at a time. Which statement about sending notifications with incident update is true? You can send notifications to multiple external platforms. Notifications can be sent only by email. If you use multiple fabric connectors, all connectors must have the same settings. Notifications can be sent only when an incident is updated or deleted. 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. Which statement about automation connectors in FortiAnalyzer is true? An ADOM with the Fabric type comes with multiple connectors configured. The local connector becomes available after you configured any external connector. The local connector becomes available after you connectors are displayed. The actions available with FortiOS connectors are determined by automation rules configured on FortiGate. What is the purpose of playbook trigger variables? To display statistics about the playbook runtime To use information from the trigger to filter the action in a task To provide the trigger information to make the playbook start running To store the start the times of playbooks with On_Schedule triggers Which statement about SQL SELECT queries is true? They can be used to purge log entries from the database. They must be followed immediately by a WHERE clause. They can be used to display the database schema. They are not used in macros. 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. You are trying to configure a task in the playbook editor to run a report. However, when you try to select the desired playbook, you do to see it listed. What is the reason? The report does not have auto-cache and extended log filtering enabled. The playbook is currently running and will be available after it is finished. You must create a trigger to run the report first. The report has no result and must be reconfigured. Copyright © 2014-2025 Certensure. All Rights Reserved WHERE
[: FortiAnalyzer documentation for SQL queries 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 11
Options:
A.
B.
C.
D.
Answer:
A, B
Question 12
Options:
A.
B.
C.
D.
Answer:
A
Explanation:
[: According to FortiOS and FortiAnalyzer 7.4.1 documentation, notifications for incidents can be configured across various platforms by using multiple connectors, and they are not limited to email alone. This capability is part of the Fortinet Security Fabric, allowing for a broad range of integrations with external systems and platforms for effective incident response., ]
Question 13
Options:
A.
B.
C.
D.
Answer:
D
Question 14
Options:
A.
B.
C.
D.
Answer:
B
Question 15
Options:
A.
B.
C.
D.
Answer:
D
Explanation:
[References:, FortiAnalyzer 7.4.1 documentation on SQL queries, database operations, and macro usage., ]
Question 16
Options:
A.
B.
C.
D.
Answer:
C
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