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Fortinet NSE7_SOC_AR-7.6 Brain Exam | NSE7_SOC_AR-7.6 Latest Braindumps Files
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Fortinet NSE 7 - Security Operations 7.6 Architect Sample Questions (Q17-Q22):NEW QUESTION # 17
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 # 18
Refer to the exhibit,
which shows the partial output of the MITRE ATT&CK Enterprise matrix on FortiAnalyzer.
Which two statements are true? (Choose two.)
- A. There are event handlers that cover tactic T1071.
- B. There are 15 events associated with the tactic.
- C. There are four subtechniques that fall under technique T1071.
- D. There are four techniques that fall under tactic T1071.
Answer: A,C
Explanation:
* Understanding the MITRE ATT&CK Matrix:
* The MITRE ATT&CK framework is a knowledge base of adversary tactics and techniques based on real-world observations.
* Each tactic in the matrix represents the "why" of an attack technique, while each technique represents "how" an adversary achieves a tactic.
* Analyzing the Provided Exhibit:
* The exhibit shows part of the MITRE ATT&CK Enterprise matrix as displayed on FortiAnalyzer.
* The focus is on technique T1071 (Application Layer Protocol), which has subtechniques labeled T1071.001, T1071.002, T1071.003, and T1071.004.
* Each subtechnique specifies a different type of application layer protocol used for Command and Control (C2):
* T1071.001 Web Protocols
* T1071.002 File Transfer Protocols
* T1071.003 Mail Protocols
* T1071.004 DNS
* Identifying Key Points:
* Subtechniques under T1071:There are four subtechniques listed under the primary technique T1071, confirming that statement B is true.
* Event Handlers for T1071:FortiAnalyzer includes event handlers for monitoring various tactics and techniques. The presence of event handlers for tactic T1071 suggests active monitoring and alerting for these specific subtechniques, confirming that statement C is true.
* Misconceptions Clarified:
* Statement A (four techniques under tactic T1071) is incorrect because T1071 is a single technique with four subtechniques.
* Statement D (15 events associated with the tactic) is misleading. The number 15 refers to the techniques under the Application Layer Protocol, not directly related to the number of events.
Conclusion:
* The accurate interpretation of the exhibit confirms that there are four subtechniques under technique T1071 and that there are event handlers covering tactic T1071.
References:
MITRE ATT&CK Framework documentation.
FortiAnalyzer Event Handling and MITRE ATT&CK Integration guides.
NEW QUESTION # 19
Which three statements accurately describe step utilities in a playbook step? (Choose three answers)
- A. The Mock Output step utility uses HTML format to simulate real outputs.
- B. The Loop step utility can only be used once in each playbook step.
- C. The Variables step utility stores the output of the step directly in the step itself.
- D. The Timeout step utility sets a maximum execution time for the step and terminates playbook execution if exceeded.
- E. The Condition step utility behavior changes depending on if a loop exists for that step.
Answer: B,D,E
Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
InFortiSOAR 7.6, step utilities are advanced configurations applied to individual playbook steps to control logic, timing, and data processing. According to the Playbook Engine architecture:
* Timeout (A):TheTimeoututility allows an administrator to define a maximum duration for a step to complete. If the step does not finish within this designated window, the playbook engine terminates the step and the overall playbook execution to prevent hung processes and resource exhaustion.
* Loop (B):TheLooputility is used for iterative processing (e.g., performing a lookup for every IP in a list). A playbook step can only containone Loop utility configuration. If multiple iterations are required across different data sets, they must be handled in separate steps or nested child playbooks.
* Condition (D):TheConditionutility (Decision Step logic) behaves differently when aLoopis present. If there is no loop, the condition determines if the step executes once. If a loop is present, the condition is evaluated foreach itemin the loop, effectively acting as a filter for which iterations proceed.
Why other options are incorrect:
* Variables (C):TheVariablesutility (Set Variable) is used to define new custom variables within the scope of that step for later use. It does not "store the output of the step directly in the step itself"; step outputs are automatically stored in the vars.steps.<step_name> object by the engine regardless of the utility used.
* Mock Output (E):TheMock Outpututility is used for testing and development to simulate successful data returns without actually executing a connector. It usesJSON format, not HTML, to ensure the simulated data structure matches what the playbook engine expects for downstream Jinja processing.
NEW QUESTION # 20
Refer to the exhibits.
The Malicious File Detect playbook is configured to create an incident when an event handler generates a malicious file detection event.
Why did the Malicious File Detect playbook execution fail?
- A. The Attach Data To Incident task failed, which stopped the playbook execution.
- B. The Get Events task did not retrieve any event data.
- C. The Attach_Data_To_lncident incident task wasexpecting an integer, but received an incorrect data format.
- D. The Create Incident task was expecting a name or number as input, but received an incorrect data format
Answer: D
Explanation:
* Understanding the Playbook Configuration:
* The "Malicious File Detect" playbook is designed to create an incident when a malicious file detection event is triggered.
* The playbook includes tasks such as Attach_Data_To_Incident, Create Incident, and Get Events.
* Analyzing the Playbook Execution:
* The exhibit shows that the Create Incident task has failed, and the Attach_Data_To_Incident task has also failed.
* The Get Events task succeeded, indicating that it was able to retrieve event data.
* Reviewing Raw Logs:
* The raw logs indicate an error related to parsing input in the incident_operator.py file.
* The error traceback suggests that the task was expecting a specific input format (likely a name or number) but received an incorrect data format.
* Identifying the Source of the Failure:
* The Create Incident task failure is the root cause since it did not proceed correctly due to incorrect input format.
* The Attach_Data_To_Incident task subsequently failed because it depends on the successful creation of an incident.
* Conclusion:
* The primary reason for the playbook execution failure is that the Create Incident task received an incorrect data format, which was not a name or number as expected.
References:
Fortinet Documentation on Playbook and Task Configuration.
Error handling and debugging practices in playbook execution.
NEW QUESTION # 21
Refer to the Exhibit:
An analyst wants to create an incident and generate a report whenever FortiAnalyzer generates a malicious attachment event based on FortiSandbox analysis. The endpoint hosts are protected by FortiClient EMS integrated with FortiSandbox. All devices are logging to FortiAnalyzer.
Which connector must the analyst use in this playbook?
- A. Local connector
- B. FortiSandbox connector
- C. FortiMail connector
- D. FortiClient EMS connector
Answer: B
Explanation:
* Understanding the Requirements:
* The objective is to create an incident and generate a report based on malicious attachment events detected by FortiAnalyzer from FortiSandbox analysis.
* The endpoint hosts are protected by FortiClient EMS, which is integrated with FortiSandbox. All logs are sent to FortiAnalyzer.
* Key Components:
* FortiAnalyzer: Centralized logging and analysis for Fortinet devices.
* FortiSandbox: Advanced threat protection system that analyzes suspicious files and URLs.
* FortiClient EMS: Endpoint management system that integrates with FortiSandbox for endpoint protection.
* Playbook Analysis:
* The playbook in the exhibit consists of three main actions: GET_EVENTS, RUN_REPORT, and CREATE_INCIDENT.
* EVENT_TRIGGER: Starts the playbook when an event occurs.
* GET_EVENTS: Fetches relevant events.
* RUN_REPORT: Generates a report based on the events.
* CREATE_INCIDENT: Creates an incident in the incident management system.
* Selecting the Correct Connector:
* The correct connector should allow fetching events related to malicious attachments analyzed by FortiSandbox and facilitate integration with FortiAnalyzer.
* Connector Options:
* FortiSandbox Connector:
* Directly integrates with FortiSandbox to fetch analysis results and events related to malicious attachments.
* Best suited for getting detailed sandbox analysis results.
* Selected as it is directly related to the requirement of handling FortiSandbox analysis events.
* FortiClient EMS Connector:
* Used for managing endpoint security and integrating with endpoint logs.
* Not directly related to fetching sandbox analysis events.
* Not selected as it is not directly related to the sandbox analysis events.
* FortiMail Connector:
* Used for email security and handling email-related logs and events.
* Not applicable for sandbox analysis events.
* Not selected as it does not relate to the sandbox analysis.
* Local Connector:
* Handles local events within FortiAnalyzer itself.
* Might not be specific enough for fetching detailed sandbox analysis results.
* Not selected as it may not provide the required integration with FortiSandbox.
* Implementation Steps:
* Step 1: Ensure FortiSandbox is configured to send analysis results to FortiAnalyzer.
* Step 2: Use the FortiSandbox connector in the playbook to fetch events related to malicious attachments.
* Step 3: Configure the GET_EVENTS action to use the FortiSandbox connector.
* Step 4: Set up the RUN_REPORT and CREATE_INCIDENT actions based on the fetched events.
Fortinet Documentation on FortiSandbox Integration FortiSandbox Integration Guide Fortinet Documentation on FortiAnalyzer Event Handling FortiAnalyzer Administration Guide By using the FortiSandbox connector, the analyst can ensure that the playbook accurately fetches events based on FortiSandbox analysis and generates the required incident and report.
NEW QUESTION # 22
......
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