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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
If you have an isolated network that is prevented from connecting to the Cortex Data Lake, which type of Broker VM setup can you use to facilitate the communication?

Answer: D

Explanation:
If you have an isolated network that is prevented from connecting to the Cortex Data Lake, you can use the Local Agent Proxy setup to facilitate the communication. The Local Agent Proxy is a type of Broker VM that acts as a proxy server for the Cortex XDR agents that are deployed on the isolated network. The Local Agent Proxy enables the Cortex XDR agents to communicate securely with the Cortex Data Lake and the Cortex XDR management console over the internet, without requiring direct access to the internet from the isolated network. The Local Agent Proxy also allows the Cortex XDR agents to download installation packages and content updates from the Cortex XDR management console. To use the Local Agent Proxy setup, you need to deploy a Broker VM on the isolated network and configure it as a Local Agent Proxy. You also need to deploy another Broker VM on a network that has internet access and configure it as a Remote Agent Proxy. The Remote Agent Proxy acts as a relay between the Local Agent Proxy and the Cortex Data Lake. You also need to install a strong cipher SHA256-based SSL certificate on both the Local Agent Proxy and the Remote Agent Proxy to ensure secure communication. You can read more about the Local Agent Proxy setup and how to configure it here1 and here2. Reference:
Local Agent Proxy
Configure the Local Agent Proxy Setup


NEW QUESTION # 49
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: B

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 # 50
What functionality of the Broker VM would you use to ingest third-party firewall logs to the Cortex Data Lake?

Answer: C

Explanation:
The Broker VM is a virtual machine that acts as a data broker between third-party data sources and the Cortex Data Lake. It can ingest different types of data, such as syslog, netflow, database, and pathfinder. The Syslog Collector functionality of the Broker VM allows it to receive syslog messages from third-party devices, such as firewalls, routers, switches, and servers, and forward them to the Cortex Data Lake. The Syslog Collector can be configured to filter, parse, and enrich the syslog messages before sending them to the Cortex Data Lake. The Syslog Collector can also be used to ingest logs from third-party firewall vendors, such as Cisco, Fortinet, and Check Point, to the Cortex Data Lake. This enables Cortex XDR to analyze the firewall logs and provide visibility and threat detection across the network perimeter. Reference:
Cortex XDR Data Broker VM
Syslog Collector
Supported Third-Party Firewall Vendors


NEW QUESTION # 51
With a Cortex XDR Prevent license, which objects are considered to be sensors?

Answer: B

Explanation:
The objects that are considered to be sensors with a Cortex XDR Prevent license are Cortex XDR agents and Palo Alto Networks Next-Generation Firewalls. These are the two sources of data that Cortex XDR can collect and analyze for threat detection and response. Cortex XDR agents are software components that run on endpoints, such as Windows, Linux, and Mac devices, and provide protection against malware, exploits, and fileless attacks. Cortex XDR agents also collect and send endpoint data, such as process activity, network traffic, registry changes, and user actions, to the Cortex Data Lake for analysis and correlation. Palo Alto Networks Next-Generation Firewalls are network security devices that provide visibility and control over network traffic, and enforce security policies based on applications, users, and content. Next-Generation Firewalls also collect and send network data, such as firewall logs, DNS logs, HTTP headers, and WildFire verdicts, to the Cortex Data Lake for analysis and correlation. By integrating data from both Cortex XDR agents and Next-Generation Firewalls, Cortex XDR can provide a comprehensive view of the attack surface and detect threats across the network and endpoint layers. Reference:
Cortex XDR Prevent License
Cortex XDR Agent Features
Next-Generation Firewall Features


NEW QUESTION # 52
What is the purpose of the Cortex Data Lake?

Answer: C

Explanation:
The purpose of the Cortex Data Lake is to provide a cloud-based storage facility where your firewall logs are stored. Cortex Data Lake is a service that collects, transforms, and integrates your enterprise's security data to enable Palo Alto Networks solutions. It powers AI and machine learning, detection accuracy, and app and service innovation. Cortex Data Lake automatically collects, integrates, and normalizes data across your security infrastructure, including your next-generation firewalls, Prisma Access, and Cortex XDR. With unified data, you can run advanced AI and machine learning to radically simplify security operations with apps built on Cortex. Cortex Data Lake is available in multiple regions and supports data residency and privacy requirements. Reference:
Cortex Data Lake - Palo Alto Networks
Cortex Data Lake - Palo Alto Networks
Cortex Data Lake, the technology behind Cortex XDR - Palo Alto Networks CORTEX DATA LAKE - Palo Alto Networks Sizing for Cortex Data Lake Storage - Palo Alto Networks


NEW QUESTION # 53
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