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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Reporting and Metrics | 20% | - Incident Reporting - SOC Performance Metrics - Dashboard Customization |
| Topic 2: Security Operations Foundations | 20% | - Incident Response Lifecycle - Threat Intelligence Frameworks - SOC Roles and Responsibilities |
| Topic 3: XSOAR Automation and Orchestration | 30% | - Incident Classification and Severity - Integration Management - Playbook Development |
| Topic 4: Detection and Analysis | 30% | - Endpoint and Network Forensics - Malware Triage - Log Analysis (XSIAM/Prisma) |
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NEW QUESTION # 68
During a routine compliance audit, an organization discovers that their Cortex XSIAM deployment is missing critical detection rules and playbooks for a newly mandated industry standard (e.g., specific GDPR clauses for data access logging). The security team identifies that a pre-built content pack from Palo Alto Networks exists that covers this compliance standard. What are the immediate next steps to deploy and activate this content pack, ensuring its components are integrated effectively into the existing XSIAM operational framework?
Answer: D
Explanation:
Cortex XSIAM provides a streamlined process for managing content packs directly within the console. To deploy a pre-built content pack, the user would navigate to the dedicated Content Packs section, find the desired pack (either from the public marketplace or a private repository if configured), and initiate an 'Install' or 'Update' action. The XSIAM platform handles the deployment, conflict resolution (if any components already exist), and activation. Option A is overly manual. Option C is a fictitious command. Option D is unnecessary for a standard content pack installation. Option E describes a manual, unsupported deployment method.
NEW QUESTION # 69
Which incident should a responder prioritize based on overall functional and informational impact to the company?
Answer: B
Explanation:
A large upload of user data to a public website represents a high functional and informational impact, as it could indicate data exfiltration and potential regulatory or financial consequences.
NEW QUESTION # 70
A security analyst is building a custom Cortex XSIAM rule to detect sophisticated web shell deployments on a Linux server. The rule needs to identify instances where a legitimate web server process (e.g., httpd, nginx) spawns an anomalous child process (e.g., bash, python, perl) in a suspicious directory, especially if that child process makes outbound network connections. Which of the following XQL queries or rule logic best represents this detection objective and leverages key XSIAM artifacts?
Answer: E
Explanation:
This question requires building a sophisticated XQL query for a custom detection rule. Option B accurately captures the complex logic described: It starts with process creation events. It filters for specific parent processes (httpd, nginx) and suspicious child processes (bash, python, perl). It looks for these processes in suspicious directories like /tmp. Crucially, it then uses a 'joins operation with 'network_connection' data to ensure the anomalous child process also initiated an outbound network connection, which is a strong indicator of a web shell establishing C2. Option A is too broad and only looks at file writes. Option C relies on an existing alert, not a custom rule. Option D is for DGA detection, not web shells. Option E is for Windows persistence, not Linux web shells.
NEW QUESTION # 71
Which action should an administrator take to create automated response actions when a user account is compromised? (Choose one answer)
Answer: B
Explanation:
In the Cortex XSOAR ecosystem, the core of automation is the relationship between Incident Types and Playbooks . To automate the response to a compromised account, an administrator follows the standard
"Classification and Mapping" workflow:
* Ingestion: The alert (e.g., from XDR or an Identity provider) is ingested into XSOAR.
* Mapping (A): The event is mapped to a specific Cortex XSOAR Incident Type (such as "Access - Compromised Account"). This ensures the system knows which fields to look at (like Username, IP, or Source).
* Playbook Execution: XSOAR is configured so that when an incident of that specific "Type" is created, it automatically triggers a corresponding Playbook .
* Response: The playbook contains the automated logic (e.g., "If user is in Executive group, notify SOC Manager; then disable account in AD and revoke O365 tokens").
Why other options are incorrect:
* Option B: This is a manual or semi-automated action within XDR, not a full "automated response workflow."
* Option C: You do not need a script to run a playbook; the mapping to an Incident Type is what natively triggers the playbook in XSOAR.
* Option D: While XSIAM has automation capabilities, the most accurate description of the structured SOAR workflow (Mapping - > Incident Type - > Playbook) is found in Option A.
NEW QUESTION # 72
Which scripting language would create a custom widget in Cortex XDR that shows the top five accounts with failed Windows logons in the past 24 hours?
Answer: C
Explanation:
XQL (Cortex Query Language) is the proprietary search and processing language used across the Palo Alto Networks Cortex ecosystem (XDR and XSIAM).
* Purpose: XQL is used to query the massive datasets stored in the Cortex Data Lake. It allows analysts to filter, aggregate, and transform raw logs into meaningful insights.
* Custom Widgets: To create a dashboard widget (like a bar chart or table), an analyst must write an XQL query to fetch the data. For example, to find failed logons, the query would target dataset = xdr_data, filter by event_type = AUTHENTICATION, and use an aggregate function to count and sort the "Top 5" results.
* Why others are incorrect: While Python (C) can be used for automation scripts in XSOAR/XSIAM, and PowerShell (D) is used for endpoint management, they are not used to query the data lake for dashboarding purposes.
NEW QUESTION # 73
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