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Title: Use Fortinet NSE7_SOC_AR-7.6 Exam Questions And Get Excellent Marks
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Fortinet NSE 7 - Security Operations 7.6 Architect Sample Questions (Q26-Q31):NEW QUESTION # 26
Refer to the exhibit.

How do you add a piece of evidence to the Action Logs Marked As Evidence area? (Choose one answer)
Answer: D
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
InFortiSOAR 7.6, theWar Roomis a collaborative space designed for high-priority incident investigation.
TheEvidencestab within theInvestigateview (as shown in the exhibit) is specifically designed to highlight critical findings found during the investigation process.
* Evidence Tagging:To populate theAction Logs Marked As Evidencesection, an analyst must specifically tag a relevant log entry, a playbook output, or a comment within the collaboration workspace with the system-defined keyword"Evidence".
* Automatic Categorization:Once the tag is applied, FortiSOAR automatically parses these entries and displays them in this centralized view. This allows team members and stakeholders to quickly view substantiated facts and proof gathered during the "Root Cause Analysis" phase without sifting through all raw action logs.
* Manual vs. Action Logs:The exhibit shows two distinct areas: "Manually Upload Evidences" (where files like the CSLAB document shown can be dragged and dropped) and "Action Logs Marked As Evidence." The latter is reserved exclusively for system-generated logs or comments that have been promoted to evidence status via tagging.
Why other options are incorrect:
* By linking an indicator to the war room (B)inking indicators associates technical artifacts (like IPs or hashes) with the record, but it does not automatically classify them as evidence within the War Room action log view.
* By creating an evidence collection task and attaching a file (C):While this is a valid step in an investigation, attaching a file to a task typically places it in the "Attachments" or "Manually Upload Evidences" area, rather than the "Action Logs" section specifically.
* By executing a playbook with the Save Execution Logs option enabled (D):Saving execution logs ensures a trail of what the playbook did, but it does not mark the output as "Evidence" unless the specific logic or a manual analyst action applies the "Evidence" tag to the resulting log entry.

NEW QUESTION # 27
Which FortiAnalyzer connector can you use to run automation stitches9
Answer: B
Explanation:
* Overview of Automation Stitches:
* Automation stitches in FortiAnalyzer are predefined sets of automated actions triggered by specific events. These actions help in automating responses to security incidents, improving efficiency, and reducing the response time.
* FortiAnalyzer Connectors:
* FortiAnalyzer integrates with various Fortinet products and other third-party solutions through connectors. These connectors facilitate communication and data exchange, enabling centralized management and automation.
* Available Connectors for Automation Stitches:
* FortiCASB:
* FortiCASB is a Cloud Access Security Broker that helps secure SaaS applications.
However, it is not typically used for running automation stitches within FortiAnalyzer.
Reference: Fortinet FortiCASB Documentation FortiCASB
FortiMail:
FortiMail is an email security solution. While it can send logs and events to FortiAnalyzer, it is not primarily used for running automation stitches.
Reference: Fortinet FortiMail Documentation FortiMail
Local:
The local connector refers to FortiAnalyzer's ability to handle logs and events generated by itself. This is useful for internal processes but not specifically for integrating with other Fortinet devices for automation stitches.
Reference: Fortinet FortiAnalyzer Administration Guide FortiAnalyzer Local FortiOS:
FortiOS is the operating system that runs on FortiGate firewalls. FortiAnalyzer can use the FortiOS connector to communicate with FortiGate devices and run automation stitches. This allows FortiAnalyzer to send commands to FortiGate, triggering predefined actions in response to specific events.
Reference: Fortinet FortiOS Administration Guide FortiOS
Detailed Process:
Step 1: Configure the FortiOS connector in FortiAnalyzer to establish communication with FortiGate devices.
Step 2: Define automation stitches within FortiAnalyzer that specify the actions to be taken when certain events occur.
Step 3: When a triggering event is detected, FortiAnalyzer uses the FortiOS connector to send the necessary commands to the FortiGate device.
Step 4: FortiGate executes the commands, performing the predefined actions such as blocking an IP address, updating firewall rules, or sending alerts.
Conclusion:
The FortiOS connector is specifically designed for integration with FortiGate devices, enabling FortiAnalyzer to execute automation stitches effectively.
References:
Fortinet FortiOS Administration Guide: Details on configuring and using automation stitches.
Fortinet FortiAnalyzer Administration Guide: Information on connectors and integration options.
By utilizing the FortiOS connector, FortiAnalyzer can run automation stitches to enhance the security posture and response capabilities within a network.

NEW QUESTION # 28
Refer to the exhibit.

Which two options describe how the Update Asset and Identity Database playbook is configured? (Choose two.)
Answer: A,D
Explanation:
* Understanding the Playbook Configuration:
* The playbook named "Update Asset and Identity Database" is designed to update the FortiAnalyzer Asset and Identity database with endpoint and user information.
* The exhibit shows the playbook with three main components: ON_SCHEDULE STARTER, GET_ENDPOINTS, and UPDATE_ASSET_AND_IDENTITY.
* Analyzing the Components:
* ON_SCHEDULE STARTER:This component indicates that the playbook is triggered on a schedule, not on-demand.
* GET_ENDPOINTS:This action retrieves information about endpoints, suggesting it interacts with an endpoint management system.
* UPDATE_ASSET_AND_IDENTITY:This action updates the FortiAnalyzer Asset and Identity database with the retrieved information.
* Evaluating the Options:
* Option A:The actions shown in the playbook are standard local actions that can be executed by the FortiAnalyzer, indicating the use of a local connector.
* Option B:There is no indication that the playbook uses a FortiMail connector, as the tasks involve endpoint and identity management, not email.
* Option C:The playbook is using an "ON_SCHEDULE" trigger, which contradicts the description of an on-demand trigger.
* Option D:The action "GET_ENDPOINTS" suggests integration with an endpoint management system, likely FortiClient EMS, which manages endpoints and retrieves information from them.
* Conclusion:
* The playbook is configured to use a local connector for its actions.
* It interacts with FortiClient EMS to get endpoint information and update the FortiAnalyzer Asset and Identity database.
References:
Fortinet Documentation on Playbook Actions and Connectors.
FortiAnalyzer and FortiClient EMS Integration Guides.

NEW QUESTION # 29
Refer to Exhibit:
You are tasked with reviewing a new FortiAnalyzer deployment in a network with multiple registered logging devices. There is only one FortiAnalyzer in the topology.
Which potential problem do you observe?
Answer: B
Explanation:
* Understanding FortiAnalyzer Data Policy and Disk Utilization:
* FortiAnalyzer uses data policies to manage log storage, retention, and disk utilization.
* The Data Policy section indicates how long logs are kept for analytics and archive purposes.
* The Disk Utilization section specifies the allocated disk space and the proportions used for analytics and archive, as well as when alerts should be triggered based on disk usage.
* Analyzing the Provided Exhibit:
* Keep Logs for Analytics:60 Days
* Keep Logs for Archive:120 Days
* Disk Allocation:300 GB (with a maximum of 441 GB available)
* Analytics: Archive Ratio:30% : 70%
* Alert and Delete When Usage Reaches:90%
* Potential Problems Identification:
* Disk Space Allocation:The allocated disk space is 300 GB out of a possible 441 GB, which might not be insufficient if the log volume is high, but it is not the primary concern based on the given data.
* Analytics-to-Archive Ratio:The ratio of 30% for analytics and 70% for archive is unconventional.
Typically, a higher percentage is allocated for analytics since real-time or recent data analysis is often prioritized. A common configuration might be a 70% analytics and 30% archive ratio. The misconfigured ratio can lead to insufficient space for analytics, causing issues with real-time monitoring and analysis.
* Retention Periods:While the retention periods could be seen as lengthy, they are not necessarily indicative of a problem without knowing the specific log volume and compliance requirements.
The length of these periods can vary based on organizational needs and legal requirements.
* Conclusion:
* Based on the analysis, the primary issue observed is theanalytics-to-archive ratiobeing misconfigured. This misconfiguration can significantly impact the effectiveness of the FortiAnalyzer in real-time log analysis, potentially leading to delayed threat detection and response.
References:
Fortinet Documentation on FortiAnalyzer Data Policies and Disk Management.
Best Practices for FortiAnalyzer Log Management and Disk Utilization.

NEW QUESTION # 30
Refer to the exhibit.

What is the correct Jinja expression to filter the results to show only the MD5 hash values?
{{ [slot 1] | [slot 2] [slot 3].[slot 4] }}
Select the Jinja expression in the left column, hold and drag it to a blank position on the right. Place the four correct steps in order, placing the first step in the first slot.

Answer:
Explanation:

Explanation:
Slot 1:dataSlot 2:json_querySlot 3"results[?type=='FileHash-MD5']")Slot 4:value Final Expression: {{ vars.artifacts.data | json_query("results[?type=='FileHash-MD5']") .value }} Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
InFortiSOAR 7.6, advanced data manipulation within playbooks often requires the use ofJMESPathqueries via the json_query Jinja filter. To extract specific data from a complex JSON object (like the vars.artifacts dictionary shown in the exhibit), the analyst must follow the structural hierarchy:
* Slot 1 (data):Based on the exhibit, the root of the artifact information is located under vars.artifacts.
data. Therefore, "data" is the starting point for the filter.
* Slot 2 (json_query):To perform advanced filtering (searching for a specific type), the json_query filter must be applied. This allows the playbook to traverse the list and find items matching a specific key- value pair.
* Slot 3 ("results[?type=='FileHash-MD5']"):This is the JMESPath expression. It looks into the results array and applies a filter [?...] to find only those objects where the type attribute exactly matches FileHash-MD5.
* Slot 4 (value):Once the correct object(s) are found, the expression needs to return the actual hash. In the JSON exhibit, the MD5 string is stored in the key named value.
Why other options are incorrect:
* tojson:This filter converts a dictionary/list into a JSON string, which would break the ability to further query the object for the "value" field.
* results (as a standalone slot):While "results" is part of the path, it is handledinsidethe json_query string to allow for conditional filtering.

NEW QUESTION # 31
......
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