Palo Alto Networks Security Operations Generalist SecOps-Pro Braindumps

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Palo Alto Networks SecOps-Pro Exam Syllabus Topics:

Palo Alto Networks Security Operations Professional Sample Questions:

1. A custom script activity, previously categorized as non-malicious, suddenly begins executing a series of unusual file operations and network connections. Cortex XDR detects this change, aggregates the sequence of abnormal events, and immediately raises a high-severity alert. Which Cortex XDR capability uses statistical baselining and machine learning to specifically identify this type of activity?

A) Incident Management Engine
B) Analytics Engine
C) Causality View
D) Threat Hunting Engine

2. Which identity security component is best suited to detect lateral movement within a compromised service account?

A) Cortex XSOAR
B) Analytics behavioral indicator of compromise (ABIOC) feature
C) Identity Analytics
D) Cortex Identity Threat Detection and Response (ITDR) module

3. Where in Cortex XSOAR are analystsle to collaborate and converse with others for joint real-time investigations?

A) War Room
B) Investigations tab
C) Work plan
D) Evidence Board

4. What is the Cortex XSOAR Marketplace?

A) Digital storefront where Cortex XSOAR training credits can be purchased and used
B) Built-in repository of installable content, including integrations and automations
C) Searchable collection of third-party playbooks and data models
D) Development environment for creating and sharing third-party integrations

5. A Security Operations Center (SOC) using Palo Alto Networks XSOAR for incident management receives a high volume of alerts daily. An analyst is tasked with prioritizing incidents related to potential data exfiltration. Which of the following incident categorization criteria, when combined, would MOST effectively facilitate accurate prioritization for data exfiltration incidents, considering both technical indicators and business impact?

A) Threat Intelligence Feed Match (e.g., C2 IP from Unit 42) and Affected Asset Criticality (e.g., Crown Jewel Asset). This combines technical indicators with business impact for effective prioritization.
B) Source IP Geolocation and Destination Port. While useful, these alone may not capture the full context of data exfiltration.
C) Time of Day and User Department. These are primarily contextual and less indicative of immediate threat severity.
D) File Hash Reputation (WildFire) and Endpoint OS Version. File hash is good for malware, but OS version isn't a primary exfiltration indicator.
E) Alert Volume from a specific sensor and Protocol Used. Alert volume can be misleading, and protocol alone might not signify exfiltration.

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