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Palo Alto Networks XDR-Analyst Exam Syllabus Topics:

TopicDetails
Topic 1
  • Incident Handling and Response: This domain focuses on investigating alerts using forensics, causality chains and timelines, analyzing security incidents, executing response actions including automated remediation, and managing exclusions.
Topic 2
  • Data Analysis: This domain encompasses querying data with XQL language, utilizing query templates and libraries, working with lookup tables, hunting for IOCs, using Cortex XDR dashboards, and understanding data retention and Host Insights.
Topic 3
  • Alerting and Detection Processes: This domain covers identifying alert types and sources, prioritizing alerts through scoring and custom configurations, creating incidents, and grouping alerts with data stitching techniques.
Topic 4
  • Endpoint Security Management: This domain addresses managing endpoint prevention profiles and policies, validating agent operational states, and assessing the impact of agent versions and content updates.

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Palo Alto Networks XDR Analyst Sample Questions (Q48-Q53):

NEW QUESTION # 48
Which built-in dashboard would be the best option for an executive, if they were looking for the Mean Time to Resolution (MTTR) metric?

Answer: D

Explanation:
The Incident Management Dashboard provides a high-level overview of the incident response process, including the Mean Time to Resolution (MTTR) metric. This metric measures the average time it takes to resolve an incident from the moment it is created to the moment it is closed. The dashboard also shows the number of incidents by status, severity, and assigned analyst, as well as the top alerts by category, source, and destination. The Incident Management Dashboard is designed for executives and managers who want to monitor the performance and efficiency of their security teams. Reference: [PCDRA Study Guide], page 18.


NEW QUESTION # 49
Which Exploit Prevention Module (EPM) provides better entropy for randomization of memory locations?

Answer: B

Explanation:
UASLR stands for User Address Space Layout Randomization, which is a feature of Exploit Prevention Module (EPM) that provides better entropy for randomization of memory locations. UASLR adds entropy to the base address of the executable image and the heap, making it harder for attackers to predict the memory layout of a process. UASLR is enabled by default for all processes, but can be disabled or customized for specific applications using the EPM policy settings. Reference:
Exploit Prevention Module (EPM) entropy randomization memory locations
Exploit protection reference


NEW QUESTION # 50
Which engine, of the following, in Cortex XDR determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident?

Answer: C

Explanation:
The engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident is the Causality Analysis Engine. The Causality Analysis Engine is one of the core components of Cortex XDR that performs advanced analytics on the data collected from various sources, such as endpoints, networks, and clouds. The Causality Analysis Engine uses machine learning and behavioral analysis to identify the root cause, the attack chain, and the impact of each alert. It also groups related alerts into incidents based on the temporal and logical relationships among the alerts. The Causality Analysis Engine helps to reduce the noise and complexity of alerts and incidents, and provides a clear and concise view of the attack story12.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Sensor Engine: This is not the correct answer. The Sensor Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Sensor Engine is the component that runs on the Cortex XDR agents installed on the endpoints. The Sensor Engine collects and analyzes endpoint data, such as processes, files, registry keys, network connections, and user activities. The Sensor Engine also enforces the endpoint security policies and performs prevention and response actions3.
C . Log Stitching Engine: This is not the correct answer. The Log Stitching Engine is not responsible for determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident. The Log Stitching Engine is the component that runs on the Cortex Data Lake, which is the cloud-based data storage and processing platform for Cortex XDR. The Log Stitching Engine normalizes and stitches together the data from different sources, such as firewalls, proxies, endpoints, and clouds. The Log Stitching Engine enables Cortex XDR to correlate and analyze data from multiple sources and provide a unified view of the network activity and threat landscape4.
D . Causality Chain Engine: This is not the correct answer. Causality Chain Engine is not a valid name for any of the Cortex XDR engines. There is no such engine in Cortex XDR that performs the function of determining the most relevant artifacts in each alert and aggregating all alerts related to an event into an incident.
In conclusion, the Causality Analysis Engine is the engine that determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident. By using the Causality Analysis Engine, Cortex XDR can provide a comprehensive and accurate detection and response capability for security analysts.
Reference:
Cortex XDR Pro Admin Guide: Causality Analysis Engine
Cortex XDR Pro Admin Guide: View Incident Details
Cortex XDR Pro Admin Guide: Sensor Engine
Cortex XDR Pro Admin Guide: Log Stitching Engine


NEW QUESTION # 51
Which of the following protection modules is checked first in the Cortex XDR Windows agent malware protection flow?

Answer: A

Explanation:
The first protection module that is checked in the Cortex XDR Windows agent malware protection flow is the Hash Verdict Determination. This module compares the hash of the executable file that is about to run on the endpoint with a list of known malicious hashes stored in the Cortex XDR cloud. If the hash matches a malicious hash, the agent blocks the execution and generates an alert. If the hash does not match a malicious hash, the agent proceeds to the next protection module, which is the Restriction Policy1.
The Hash Verdict Determination module is the first line of defense against malware, as it can quickly and efficiently prevent known threats from running on the endpoint. However, this module cannot protect against unknown or zero-day threats, which have no known hash signature. Therefore, the Cortex XDR agent relies on other protection modules, such as Behavioral Threat Protection, Child Process Protection, and Exploit Protection, to detect and block malicious behaviors and exploits that may occur during the execution of the file1.
Reference:
Palo Alto Networks Cortex XDR Documentation, File Analysis and Protection Flow


NEW QUESTION # 52
Phishing belongs to which of the following MITRE ATT&CK tactics?

Answer: D

Explanation:
Phishing is a technique that belongs to two MITRE ATT&CK tactics: Reconnaissance and Initial Access. Reconnaissance is the process of gathering information about a target before launching an attack. Phishing for information is a sub-technique of Reconnaissance that involves sending phishing messages to elicit sensitive information that can be used during targeting. Initial Access is the process of gaining a foothold in a network or system. Phishing is a sub-technique of Initial Access that involves sending phishing messages to execute malicious code on victim systems. Phishing can be used for both Reconnaissance and Initial Access depending on the objective and content of the phishing message. Reference:
Phishing, Technique T1566 - Enterprise | MITRE ATT&CK 1
Phishing for Information, Technique T1598 - Enterprise | MITRE ATT&CK 2 Phishing for information, Part 2: Tactics and techniques 3 PHISHING AND THE MITREATT&CK FRAMEWORK - EnterpriseTalk 4 Initial Access, Tactic TA0001 - Enterprise | MITRE ATT&CK 5


NEW QUESTION # 53
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