XDR-Analyst Paloalto Networks Palo Alto Networks XDR Analyst Free Practice Exam Questions (2025 Updated)

Ransomware is a type of malicious software, or malware, that encrypts user files and prevents them from accessing their data until they pay a ransom. Ransomware can affect individual users, businesses, and organizations of all kinds. Ransomware attacks can cause costly disruptions, data loss, and reputational damage. Ransomware can spread through various methods, such as phishing emails, malicious attachments, compromised websites, or network vulnerabilities. Some ransomware variants can also self-propagate and infect other devices or networks. Ransomware authors typically demand payment in cryptocurrency or other untraceable methods, and may threaten to delete or expose the encrypted data if the ransom is not paid within a certain time frame. However, paying the ransom does not guarantee that the files will be decrypted or that the attackers will not target the victim again. Therefore, the best way to protect against ransomware is to prevent infection in the first place, and to have a backup of the data in case of an attack123456

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.

The kind of malware that uses encryption, data theft, denial of service, and possibly harassment to take advantage of a victim is ransomware. Ransomware is a type of malware that encrypts the victim’s files or blocks access to their system, and then demands a ransom for the decryption key or the restoration of access. Ransomware can also threaten to expose or delete the victim’s data if the ransom is not paid. Ransomware can cause significant damage and disruption to individuals, businesses, and organizations, and can be difficult to remove or recover from. Some examples of ransomware are CryptoLocker, WannaCry, Ryuk, and REvil.

 Cortex XDR agent for Windows prevents ransomware attacks from compromising the file system by utilizing decoy files. Decoy files are randomly generated files that are placed in strategic locations on the endpoint, such as the user’s desktop, documents, and pictures folders. These files are designed to look like valuable data that ransomware would target for encryption. When Cortex XDR agent detects that a process is attempting to access or modify a decoy file, it immediately blocks the process and alerts the administrator. This way, Cortex XDR agent can stop ransomware attacks before they can cause any damage to the real files on the endpoint. References:

Anti-Ransomware Protection

PCDRA Study Guide

A supply chain attack is a type of cyberattack that targets a trusted third-party vendor who offers services or software vital to the supply chain. Software supply chain attacks inject malicious code into an application in order to infect all users of an app. The purpose of targeting software vendors in a supply-chain attack is to take advantage of a trusted software delivery method, such as an update or a download, that can reach a large number of potential victims. By compromising a software vendor, an attacker can bypass the security measures of the downstream organizations and gain access to their systems, data, or networks. References:

What Is a Supply Chain Attack? - Definition, Examples & More | Proofpoint US

What Is a Supply Chain Attack? - CrowdStrike

What Is a Supply Chain Attack? | Zscaler

What Is a Supply Chain Attack? Definition, Examples & Prevention

 Local Analysis is a feature of Cortex XDR that allows the agent to evaluate files locally on the endpoint, without sending them to WildFire for analysis. Local Analysis is evoked when the following conditions are met:

The endpoint is disconnected from the internet or the Cortex XDR management console, and therefore cannot communicate with WildFire.

The verdict from WildFire is of a type unknown, meaning that WildFire has not yet analyzed the file or has not reached a conclusive verdict.

Local Analysis uses machine learning models to assess the behavior and characteristics of the file and assign it a verdict of either benign, malware, or grayware. If the verdict is malware or grayware, the agent will block the file from running and report it to the Cortex XDR management console. If the verdict is benign, the agent will allow the file to run and report it to the Cortex XDR management console. References:

Local Analysis

WildFire File Verdicts

 A logical schema in an XQL query is a field, which is a named attribute of a dataset. A field can have a data type, such as string, integer, boolean, or array. A field can also have a modifier, such as bin or expand, that transforms the field value in the query output. A field can be used in the select, where, group by, order by, or having clauses of an XQL query. References:

XQL Syntax

XQL Data Types

XQL Field Modifiers

 The correct answer is D. Dylib Hijacking. Dylib Hijacking, also known as Dynamic Library Hijacking, is a technique used by attackers to load malicious dynamic libraries on macOS from an unsecure location. This technique takes advantage of the way macOS searches for dynamic libraries to load when an application is executed. To prevent such attacks, Palo Alto Networks offers the Dylib Hijacking prevention capability as part of their Cortex XDR platform. This capability is designed to detect and block attempts to load dynamic libraries from unauthorized or unsecure locations1.

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

A. DDL Security: This is not the correct answer. DDL Security is not specifically designed to prevent dynamic library loading attacks on macOS. DDL Security is focused on protecting against DLL (Dynamic Link Library) hijacking on Windows systems2.

B. Hot Patch Protection: Hot Patch Protection is not directly related to preventing dynamic library loading attacks. It is a security feature that protects against runtime patching or modification of code in memory, often used by advanced attackers to bypass security measures3. While Hot Patch Protection is a valuable security feature, it is not directly relevant to the scenario described.

C. Kernel Integrity Monitor (KIM): Kernel Integrity Monitor is also not the correct answer. KIM is a module in Cortex XDR that focuses on monitoring and protecting the integrity of the macOS kernel. It detects and prevents unauthorized modifications to critical kernel components4. While KIM plays an essential role in overall macOS security, it does not specifically address the prevention of dynamic library loading attacks.

In conclusion, Dylib Hijacking is the Cortex XDR module that specifically addresses the prevention of attackers loading dynamic libraries from unsecure locations on macOS. By leveraging this module, organizations can enhance their security posture and protect against this specific attack vector.

The outcome of creating and implementing an alert exclusion is that the Cortex XDR console will hide those alerts that match the exclusion criteria. An alert exclusion is a policy that allows you to filter out alerts that are not relevant, false positives, or low priority, and focus on the alerts that require your attention. When you create an alert exclusion, you can specify the criteria that define which alerts you want to exclude, such as alert name, severity, source, or endpoint. After you create an alert exclusion, Cortex XDR will hide any future alerts that match the criteria, and exclude them from incidents and search query results. However, the alert exclusion does not affect the behavior of the Cortex XDR agent or the security policy on the endpoint. The Cortex XDR agent will still create an alert for the event and apply the appropriate action, such as blocking or quarantining, according to the security policy. The alert exclusion only affects the visibility of the alert on the Cortex XDR console, not the actual protection of the endpoint. Therefore, the correct answer is B, the Cortex XDR console will hide those alerts12

 The ultimate goal of any exploit is to reach the kernel, which is the core component of the operating system that has the highest level of privileges and access to the hardware resources. Application exploits are attacks that target vulnerabilities in specific applications, such as web browsers, email clients, or office suites. Kernel exploits are attacks that target vulnerabilities in the kernel itself, such as memory corruption, privilege escalation, or code execution. Kernel exploits are more difficult to prevent and detect than application exploits, because they can bypass security mechanisms and hide their presence from the user and the system. References:

Palo Alto Networks Certified Detection and Remediation Analyst (PCDRA) Study Guide, page 8

Palo Alto Networks Cortex XDR Documentation, Exploit Protection Overview

Encrypting a hypervisor or a multiple number of virtual machines running on a server is a form of ransomware attack, which is a type of cyberattack that involves locking or encrypting the victim’s data or system and demanding a ransom for its release. The attacker may threaten to encrypt the hypervisor or the virtual machines to extort a payment from the victim or potentially embarrass the owners by exposing their sensitive or confidential information. Encrypting a hypervisor or a multiple number of virtual machines can have a severe impact on the victim’s business operations, as it can affect the availability, integrity, and confidentiality of their data and applications. The attacker may also use the encryption as a leverage to negotiate a higher ransom or to coerce the victim into complying with their demands. References:

Encrypt an Existing Virtual Machine or Virtual Disk: This document explains how to encrypt an existing virtual machine or virtual disk using the vSphere Client.

How to Encrypt an Existing or New Virtual Machine: This article provides a guide on how to encrypt an existing or new virtual machine using AOMEI Backupper.

Ransomware: This document provides an overview of ransomware, its types, impacts, and prevention methods.

 When investigating security events, the feature in Cortex XDR that is useful for reverting the changes on the endpoint is Remediation Suggestions. Remediation Suggestions are a feature of Cortex XDR that provide you with recommended actions to undo the effects of malicious activity on your endpoints. You can view the remediation suggestions for each alert or incident in the Cortex XDR console, and decide whether to apply them or not. Remediation Suggestions can help you restore the endpoint to its original state, remove malicious files or processes, or fix registry or system settings. Remediation Suggestions are based on the forensic data collected by the Cortex XDR agent and the analysis performed by Cortex XDR. References:

Remediation Suggestions

Apply Remediation Suggestions

 A common sequence of cyber-attack tactics is based on the Cyber Kill Chain model, which describes the stages of a cyber intrusion from the perspective of the attacker. The Cyber Kill Chain model consists of seven phases: reconnaissance, weaponization, delivery, exploitation, installation, command and control, and actions on the objective. These phases are briefly explained below:

Reconnaissance: The attacker gathers information about the target, such as its network, systems, vulnerabilities, employees, and business operations. The attacker may use various methods, such as scanning, phishing, or searching open sources, to collect data that can help them plan the attack.

Weaponization: The attacker creates or obtains a malicious payload, such as malware, exploit, or script, that can be used to compromise the target. The attacker may also embed the payload into a delivery mechanism, such as an email attachment, a web link, or a removable media.

Delivery: The attacker sends or delivers the weaponized payload to the target, either directly or indirectly. The attacker may use various channels, such as email, web, or physical access, to reach the target’s network or system.

Exploitation: The attacker exploits a vulnerability or weakness in the target’s network or system to execute the payload. The vulnerability may be technical, such as a software flaw, or human, such as a social engineering trick.

Installation: The attacker installs or drops additional malware or tools on the target’s network or system to establish a foothold and maintain persistence. The attacker may use various techniques, such as registry modification, file manipulation, or process injection, to hide their presence and evade detection.

Command and Control: The attacker establishes a communication channel between the compromised target and a remote server or controller. The attacker may use various protocols, such as HTTP, DNS, or IRC, to send commands and receive data from the target.

Actions on the objective: The attacker performs the final actions that achieve their goal, such as stealing data, destroying files, encrypting systems, or disrupting services. The attacker may also try to move laterally within the target’s network or system to access more resources or data.

 The policy exception that applies to the following description is B, local file threat examination exception. A local file threat examination exception is an exception that allows you to exclude specific files or folders from being scanned by the Cortex XDR agent for malware or threats. You can use this exception to prevent false positives, performance issues, or compatibility problems with legitimate files or applications. You can define the local file threat examination exception by file name, file path, file hash, or digital signer. For example, you can create a local file threat examination exception for specific PHP files by entering their file names or paths in the exception configuration. References:

Local File Threat Examination Exceptions

Create a Local File Threat Examination Exception

 A global exception is a rule that allows you to exclude specific files, processes, or behaviors from being blocked or detected by Cortex XDR. A global exception applies to all endpoints in your organization that are protected by Cortex XDR. Creating a global exception for a vitally important piece of software that is known to be benign would prevent Cortex XDR from blocking this software in the future, for all endpoints in your organization.

To create a global exception, you need to follow these steps:

In the Cortex XDR management console, go to Policy Management > Exceptions and click Add Exception.

Select the Global Exception option and click Next.

Enter a name and description for the exception and click Next.

Select the type of exception you want to create, such as file, process, or behavior, and click Next.

Specify the criteria for the exception, such as file name, hash, path, process name, command line, or behavior name, and click Next.

Review the summary of the exception and click Finish.

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. References:

Cortex XDR Prevent License

Cortex XDR Agent Features

Next-Generation Firewall Features

When deploying Cortex XDR agent on Kubernetes clusters as a DaemonSet, the license required is Cortex XDR Cloud per Host. This license allows you to protect and monitor your cloud workloads, such as Kubernetes clusters, containers, and serverless functions, using Cortex XDR. With Cortex XDR Cloud per Host license, you can deploy Cortex XDR agents as DaemonSets on your Kubernetes clusters, which ensures that every node in the cluster runs a copy of the agent. The Cortex XDR agent collects and sends data from the Kubernetes cluster, such as pod events, container logs, and network traffic, to the Cortex Data Lake for analysis and correlation. Cortex XDR can then detect and respond to threats across your cloud environment, and provide visibility and context into your cloud workloads. The Cortex XDR Cloud per Host license is based on the number of hosts that run the Cortex XDR agent, regardless of the number of containers or functions on each host. A host is defined as a virtual machine, a physical server, or a Kubernetes node that runs the Cortex XDR agent. You can read more about the Cortex XDR Cloud per Host license and how to deploy Cortex XDR agent on Kubernetes clusters here1 and here2. References:

Cortex XDR Cloud per Host License

Deploy Cortex XDR Agent on Kubernetes Clusters as a DaemonSet

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.

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. References:

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