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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Detection and Analysis | 30% | - Malware Triage - Endpoint and Network Forensics - Log Analysis (XSIAM/Prisma) |
| Topic 2: XSOAR Automation and Orchestration | 30% | - Incident Classification and Severity - Integration Management - Playbook Development |
| Topic 3: Security Operations Foundations | 20% | - SOC Roles and Responsibilities - Threat Intelligence Frameworks - Incident Response Lifecycle |
| Topic 4: Reporting and Metrics | 20% | - Incident Reporting - SOC Performance Metrics - Dashboard Customization |
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NEW QUESTION # 20
Your organization uses Cortex XSIAM for its security operations. A new zero-day exploit emerges, and an emergency patch is released. Before deploying the patch, the SOC team needs to quickly assess the immediate risk to all Linux servers by identifying any systems potentially running vulnerable processes or exhibiting suspicious behavior indicative of the exploit. Due to the critical nature, the assessment must be done with minimal false positives and be highly efficient. Which of the following XSIAM processes and capabilities should be leveraged for this task, and why?
Answer: D
Explanation:
This scenario demands a rapid, targeted, and accurate assessment for a zero-day. Option B provides the most effective solution using XSIAM's advanced capabilities. The Real-time Data Lake combined with targeted XQL queries allows for immediate searching of historical and current telemetry for specific indicators or behaviors. Deploying a custom Behavioral Threat Protection rule ensures that even if the exact exploit isn't known, its post-exploitation effects are monitored. This minimizes false positives compared to a broad scan and is highly efficient for large environments. Option A is unlikely to detect a zero-day with a traditional AV engine. Option C is impractical for scale. Option D is too narrow as UBA focuses on user, not process or network, anomalies. Option E is for cloud misconfigurations, not active exploit detection.
NEW QUESTION # 21
A threat intelligence team wants to configure a playbook in Cortex XSOAR that automatically assigns a high-priority tag to all newly extracted file hashes that are confirmed threats. To do this effectively, the playbook logic must rely on a field that clearly defines the file hash's level of maliciousness for automated decision making.
Which indicator field should the playbook use as the primary input for this automated decision?
Answer: A
Explanation:
The verdict field explicitly represents the assessed maliciousness of an indicator (e.g., malicious, benign, suspicious), making it the appropriate attribute for automated decision-making in playbooks that need to act based on threat confidence.
NEW QUESTION # 22
An administrator has configured Cortex XDR to ingest logs from third-party firewalls and is using Cortex XDR agents on endpoints. The goal is to see network connections from the firewalls correlated with the endpoint processes that initiated them. Which feature handles this correlation to form network stories?
Answer: A
Explanation:
Log stitching correlates network logs from third-party sources with endpoint telemetry, linking connections to the originating processes and creating unified network stories.
NEW QUESTION # 23
A Security Operations Center (SOC) using Palo Alto Networks (PAN-OS) next-generation firewalls observes a sudden surge in outbound DNS requests to unusual top-level domains from a critical internal server. Threat intelligence feeds indicate recent campaigns leveraging DNS exfiltration. In the context of the NIST Incident Response Plan, which of the following actions best aligns with the 'Detection and Analysis' phase for this scenario, preceding further containment efforts?
Answer: D
Explanation:
The 'Detection and Analysis' phase focuses on determining if an event is an incident, its scope, and nature. While blocking traffic (A) might be a containment step, immediate full packet capture and correlation with DNS Security logs (B) provide crucial data for analysis without prematurely impacting legitimate services, which is essential for accurate incident classification. Isolating the server (C) and notifying leadership (D) are typically 'Containment, Eradication, and Recovery' or 'Post-Incident Activity' steps, and updating antivirus signatures (E) is a general security hygiene practice, not a primary detection and analysis step for a specific observed anomaly.
NEW QUESTION # 24
Which types of indicators are supported out-of-the-box by Cortex XSOAR?
Answer: D
Explanation:
Cortex XSOAR natively supports standard threat intelligence indicator types such as IP addresses, domain names, URLs, and file hashes, which are commonly used for detection and correlation.
NEW QUESTION # 25
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