Free Palo Alto Networks PCDRA Exam Actual Questions & Explanations

Last updated on: Aug 1, 2026

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Question No. 1

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?

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Question No. 2

What is the Wildfire analysis file size limit for Windows PE files?

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Correct Answer: C

The Wildfire analysis file size limit for Windows PE files is 100MB. Windows PE files are executable files that run on the Windows operating system, such as .exe, .dll, .sys, or .scr files. Wildfire is a cloud-based service that analyzes files and URLs for malicious behavior and generates signatures and protections for them. Wildfire can analyze various file types, such as PE, APK, PDF, MS Office, and others, but each file type has a different file size limit. The file size limit determines the maximum size of the file that can be uploaded or forwarded to Wildfire for analysis. If the file size exceeds the limit, Wildfire will not analyze the file and will return an error message.

According to the Wildfire documentation1, the file size limit for Windows PE files is 100MB. This means that any PE file that is larger than 100MB will not be analyzed by Wildfire. However, the firewall can still apply other security features, such as antivirus, anti-spyware, vulnerability protection, and file blocking, to the PE file based on the security policy settings.The firewall can also perform local analysis on the PE file using the Cortex XDR agent, which uses machine learning models to assess the file and assign it a verdict2.


WildFire File Size Limits: This document provides the file size limits for different file types that can be analyzed by Wildfire.

Local Analysis: This document explains how the Cortex XDR agent performs local analysis on files that cannot be sent to Wildfire for analysis.

Question No. 3

What is the purpose of the Cortex Data Lake?

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Correct Answer: B

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


Question No. 4

What is the purpose of the Unit42 team?

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Correct Answer: C

Unit 42 is the threat intelligence and response team of Palo Alto Networks. The purpose of Unit 42 is to collect and analyze the most up-to-date threat intelligence and apply it to respond to cyberattacks. Unit 42 is composed of world-renowned threat researchers, incident responders and security consultants who help organizations proactively manage cyber risk.Unit 42 is responsible for threat research, malware analysis and threat hunting, among other activities12.

Let's briefly discuss the other options to provide a comprehensive explanation:

A) Unit 42 is not responsible for automation and orchestration of products.Automation and orchestration are capabilities that are provided by Palo Alto Networks products such as Cortex XSOAR, which is a security orchestration, automation and response platform that helps security teams automate tasks, coordinate actions and manage incidents3.

B) Unit 42 is not responsible for the configuration optimization of the Cortex XDR server. The Cortex XDR server is the cloud-based platform that provides detection and response capabilities across network, endpoint and cloud data sources.The configuration optimization of the Cortex XDR server is the responsibility of the Cortex XDR administrators, who can use the Cortex XDR app to manage the settings and policies of the Cortex XDR server4.

C) Unit 42 is not responsible for the rapid deployment of Cortex XDR agents. The Cortex XDR agents are the software components that are installed on endpoints to provide protection and visibility.The rapid deployment of Cortex XDR agents is the responsibility of the Cortex XDR administrators, who can use various methods such as group policy objects, scripts, or third-party tools to deploy the Cortex XDR agents to multiple endpoints5.

In conclusion, Unit 42 is the threat intelligence and response team of Palo Alto Networks that is responsible for threat research, malware analysis and threat hunting. By leveraging the expertise and insights of Unit 42, organizations can enhance their security posture and protect against the latest cyberthreats.


About Unit 42: Our Mission and Team

Unit 42: Threat Intelligence & Response

Cortex XSOAR

Cortex XDR Pro Admin Guide: Manage Cortex XDR Settings and Policies

Cortex XDR Pro Admin Guide: Deploy Cortex XDR Agents

Question No. 5

A file is identified as malware by the Local Analysis module whereas WildFire verdict is Benign, Assuming WildFire is accurate. Which statement is correct for the incident?

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Correct Answer: B

A false positive is a situation where a file or activity is incorrectly identified as malicious by a security tool, when in fact it is benign or harmless. A false positive can cause unnecessary alerts, disruptions, or remediation actions, and reduce the confidence and efficiency of the security system. In this question, a file is identified as malware by the Local Analysis module, whereas WildFire verdict is Benign, assuming WildFire is accurate. This means that the Local Analysis module has made a mistake and flagged a legitimate file as malicious, while WildFire has correctly determined that the file is safe. Therefore, this is an example of a false positive. The Local Analysis module is a feature of the Cortex XDR agent that uses a static set of pattern-matching rules and a statistical model to determine if an unknown file is likely to be malware. The Local Analysis module can provide a fast and offline verdict for files that are not yet analyzed by WildFire, but it is not as accurate or comprehensive as WildFire, which uses dynamic analysis and machine learning to examine the behavior and characteristics of files in a sandbox environment. WildFire verdicts are considered more reliable and authoritative than Local Analysis verdicts, and can override them in case of a discrepancy.Therefore, if a file is identified as malware by the Local Analysis module, but as Benign by WildFire, the WildFire verdict should be trusted and the Local Analysis verdict should be disregarded123


False positive (security) - Wikipedia

Local Analysis

WildFire Overview