Practice Free PCDRA Palo Alto Networks Certified Detection and Remediation Analyst Exam Questions Answers With Explanation

Cortex XDR allows you to define IOCs based on various criteria, such as file hashes, registry keys, IP addresses, domain names, and full paths. A full path IOC is a specific location of a file or folder on an endpoint, such as C:\Windows\System32\calc.exe. You can use full path IOCs to detect and respond to malicious files or folders that are located in known locations on your endpoints12.

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

A. destination port: This is not the correct answer. Destination port is not a type of IOC that you can define in Cortex XDR. Destination port is a network attribute that indicates the port number to which a packet is sent. Cortex XDR does not support defining IOCs based on destination ports, but you can use XQL queries to filter network events by destination ports3.

B. e-mail address: This is not the correct answer. E-mail address is not a type of IOC that you can define in Cortex XDR. E-mail address is an identifier that is used to send and receive e-mails. Cortex XDR does not support defining IOCs based on e-mail addresses, but you can use the Cortex XDR - IOC integration with Cortex XSOAR to ingest IOCs from various sources, including e-mail addresses4.

D. App-ID: This is not the correct answer. App-ID is not a type of IOC that you can define in Cortex XDR. App-ID is a feature of Palo Alto Networks firewalls that identifies and controls applications on the network. Cortex XDR does not support defining IOCs based on App-IDs, but you can use the Cortex XDR Analytics app to create custom rules that use App-IDs as part of the rule logic5.

In conclusion, full path is the type of IOC that you can define in Cortex XDR. By using full path IOCs, you can enhance your detection and response capabilities and protect your endpoints from malicious files or folders.

References:

• Create an IOC Rule
• XQL Reference Guide: Network Events Schema
• Cortex XDR - IOC
• Cortex XDR Analytics App
• PCDRA: Which Type of IOC can define in Cortex XDR?

The Agent Auto Upgrade widget shows the status of the agent auto upgrade feature on the endpoints. The widget displays the number of agents that are up to date, in progress, pending, failed, and not configured. In this case, the widget shows that there are 450 agents that are up to date, 78 in progress, 15 pending, 18 failed, and 128 not configured. This means that the agent auto upgrade feature was enabled but not on all endpoints. References:

• Cortex XDR Agent Auto Upgrade
• PCDRA Study Guide

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

 Cortex XDR supports Live Terminal for Android systems, which allows you to remotely access and manage Android endpoints using a command-line interface. You can use Live Terminal to run Android commands, such as adb shell, adb logcat, adb install, and adb uninstall. You can also use Live Terminal to view and modify files, directories, and permissions on the Android endpoints. Live Terminal for Android systems does not support stopping an app or running APK scripts. References:

• Cortex XDR documentation portal
• Initiate a Live Terminal Session
• Live Terminal Commands

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.

 File Search and Destroy is a feature of Cortex XDR that allows you to search for and remove malicious files from endpoints. You can use this feature to find files by their hash, full path, or partial path using regex parameters. You can then select the files from the search results and destroy them by hash or by path. When you destroy a file by hash, all the file instances on the endpoint are removed. File Search and Destroy is useful for quickly responding to threats and preventing further damage. References:

• Search and Destroy Malicious Files
• Cortex XDR Pro Administrator Guide

 Live terminal session is a feature of Cortex XDR that allows you to remotely access and control endpoints from the Cortex XDR console. With live terminal session, you can execute various actions on the endpoints, such as:

• Manage Processes: You can view, start, or kill processes on the endpoint, and monitor their CPU and memory usage.
• Manage Files: You can view, create, delete, or move files and folders on the endpoint, and upload or download files to or from the endpoint.
• Run Operating System Commands: You can run commands on the endpoint using the native command-line interface of the operating system, such as cmd.exe for Windows, bash for Linux, or zsh for macOS.
• Run Python Commands and Scripts: You can run Python commands and scripts on the endpoint using the Python interpreter embedded in the Cortex XDR agent. You can use the Python commands and scripts to perform advanced tasks or automation on the endpoint.

References:

• Initiate a Live Terminal Session
• Manage Processes
• Manage Files
• Run Operating System Commands
• Run Python Commands and Scripts

 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. References:

• Cortex XDR Data Broker VM
• Syslog Collector
• Supported Third-Party Firewall Vendors

The Broker VM for Cortex XDR is a virtual machine that serves as the central communication hub for all Cortex XDR agents deployed in your organization. It enables agents to communicate with the Cortex XDR cloud service and allows you to manage and monitor the agents’ activities from a centralized location. The system requirements for the Broker VM are as follows:

• CPU: 4 cores
• RAM: 8 GB
• Disk space: 256 GB
• Network: Internet access and connectivity to all Cortex XDR agents

The disk space requirement is based on the number of agents and the frequency of content updates. The Broker VM stores the content updates locally and distributes them to the agents. The disk spacealso depends on the retention period of the content updates, which can be configured in the Broker VM settings. The default retention period is 30 days.

References:

• Broker VM for Cortex XDR
• PCDRA Study Guide

JIT Mitigation is an Exploit Protection Module (EPM) that can be used to prevent attacks based on OS function. JIT Mitigation protects against exploits that use the Just-In-Time (JIT) compiler of the OS to execute malicious code. JIT Mitigation monitors the memory pages that are allocated by the JIT compiler and blocks any attempts to execute code from those pages. This prevents attackers from using the JIT compiler as a way to bypass other security mechanisms such as Data Execution Prevention (DEP) and Address Space Layout Randomization (ASLR). References:

• Palo Alto Networks. (2023). PCDRA Study Guide. PDF file. Retrieved from https://www.paloaltonetworks.com/content/dam/pan/en_US/assets/pdf/datasheets/education/pcdra-study-guide.pdf
• Palo Alto Networks. (2021). Exploit Protection Modules. Web page. Retrieved from https://docs.paloaltonetworks.com/traps/6-0/traps-endpoint-security-manager-admin/traps-endpoint-security-policies/exploit-protection-modules.html

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. References: [PCDRA Study Guide], page 18.

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

References:

• What is Ransomware? | How to Protect Against Ransomware in 2023
• Ransomware - Wikipedia
• What is ransomware? | Ransomware meaning | Cloudflare
• What Is Ransomware? | Ransomware.org
• Ransomware — FBI

The difference between presets and datasets in XQL is that a dataset is a built-in or third-party data source, while a preset is a group of XDR data fields. A dataset is a collection of data that you can query and analyze using XQL. A dataset can be a Cortex data lake data source, such as endpoints, alerts, incidents, or network flows, or a third-party data source, such as AWS CloudTrail, Azure Activity Logs, or Google Cloud Audit Logs. A preset is a predefined set of XDR data fields that are relevant for a specific use case, such as process execution, file operations, or network activity. A preset can help you simplify and standardize your XQL queries by selecting the most important fields for youranalysis. You can use presets with any Cortex data lake data source, but not with third-party data sources. References:

• Datasets and Presets
• XQL Language Reference

The type of BIOC rule that is currently available in Cortex XDR is Discovery. A Discovery BIOC rule is a rule that detects suspicious or malicious behavior on endpoints based on the Cortex XDR data. A Discovery BIOC rule can use various event types, such as file, injection, load image, network, process, registry, or user, to define the criteria for the rule. A Discovery BIOC rule can also use operators, functions, and variables to create complex logic and conditions for the rule. A Discovery BIOC rule can generate alerts when the rule is triggered, and these alerts can be grouped into incidents for further investigation and response12.

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

A. Threat Actor: This is not the correct answer. Threat Actor is not a type of BIOC rule that is currently available in Cortex XDR. Threat Actor is a term that refers to an individual or a group that is responsible for a cyberattack or a threat campaign. Cortex XDR does not support creating BIOC rules based on threat actors, but it can provide threat intelligence and context from various sources, such as Unit 42, AutoFocus, or Cortex XSOAR3.

C. Network: This is not the correct answer. Network is not a type of BIOC rule that is currently available in Cortex XDR. Network is an event type that can be used in a Discovery BIOC rule to define the criteria based on network attributes, such as source IP, destination IP, source port, destination port, protocol, or domain. Network is not a standalone type of BIOC rule, but a part of the Discovery BIOC rule2.

D. Dropper: This is not the correct answer. Dropper is not a type of BIOC rule that is currently available in Cortex XDR. Dropper is a term that refers to a type of malware that is designed to download and install other malicious files or programs on a compromised system. Cortex XDR does not support creating BIOC rules based on droppers, but it can detect and prevent droppers using various methods, such as behavioral threat protection, exploit prevention, or WildFire analysis4.

In conclusion, the type of BIOC rule that is currently available in Cortex XDR is Discovery. By using Discovery BIOC rules, you can create custom detection rules that match your specific use cases and scenarios.

References:

• Create a BIOC Rule
• BIOC Rule Event Types
• Threat Intelligence and Context
• Malware Prevention

 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.

References:

• 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

 To manually upgrade the Cortex XDR agents, you can use the Asset Management page or the Endpoint Administration page in the Cortex XDR console. On the Asset Management page, you can select one or more endpoints and click Actions > Upgrade Agent. On the Endpoint Administration page, you can select one or more agent versions and click Upgrade. You can also schedule automatic agent upgrades using the Agent Installations page. References:

• Asset Management
• Endpoint Administration
• Agent Installations

 The statement that best describes how Behavioral Threat Protection (BTP) works is D, BTP uses machine learning to recognize malicious activity even if it is not known. BTP is a feature of Cortex XDR that allows you to define custom rules to detect and block malicious behaviors on endpoints. BTP uses machine learning to profile behavior and detect anomalies indicative of attack. BTP can recognize malicious activity based on file attributes, registry keys, processes, network connections, and other criteria, even if the activity is not associated with any known malware or threat. BTP rules are updated through content updates and can be managed from the Cortex XDR console.

The other statements are incorrect for the following reasons:

• A is incorrect because BTP does not inject into known vulnerable processes to detect malicious activity. BTP does not rely on process injection, which is a technique used by some malware to hide or execute code within another process. BTP monitors the behavior of all processes on the endpoint, regardless of their vulnerability status, and compares them with the BTP rules.
• B is incorrect because BTP does not run on the Cortex XDR and distribute behavioral signatures to all agents. BTP runs on the Cortex XDR agent, which is installed on the endpoint, and analyzes the endpoint data locally. BTP does not use behavioral signatures, which are predefined patterns of malicious behavior, but rather uses machine learning to identify anomalies and deviations from normal behavior.
• C is incorrect because BTP does not match EDR data with rules provided by Cortex XDR. BTP is part of the EDR (Endpoint Detection and Response) capabilities of Cortex XDR, and uses the EDR data collected by the Cortex XDR agent to perform behavioral analysis. BTP does not match the EDR data with rules provided by Cortex XDR, but rather applies the BTP rules defined by the Cortex XDR administrator or the Palo Alto Networks threat research team.

References:

• Cortex XDR Agent Administrator Guide: Behavioral Threat Protection
• Cortex XDR: Stop Breaches with AI-Powered Cybersecurity

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.

References:

• 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

Remediation Suggestions is a feature of Cortex XDR that provides you with recommended actions to remediate the root cause and impact of an incident. Remediation Suggestions are based on the analysis of the causality chain, the behavior of the malicious files or processes, and the best practices for incident response. Remediation Suggestions can help you to quickly and effectively contain and resolve an incident, as well as prevent future recurrence.

To activate Remediation Suggestions, you need to follow these steps:

• In the Cortex XDR management console, go to Incidents and select an incident that you want to remediate.
• Click Causality View to see the graphical representation of the causality chain of the incident.
• Click Actions and select Remediation Suggestions. This will open a new window that shows the suggested actions for each node in the causality chain.
• Review the suggested actions and select the ones that you want to apply. You can also edit or delete the suggested actions, or add your own custom actions.
• Click Apply to execute the selected actions on the affected endpoints. You can also schedule the actions to run at a later time or date.

References:

• Remediate Changes from Malicious Activity: This document explains how to use Remediation Suggestions to remediate the root cause and impact of an incident.
• Causality View: This document describes how to use Causality View to investigate the causality chain of an incident.

 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

To pivot within a row to Causality view and Timeline views for further investigation, you can use the Open Card and Open Timeline actions respectively. The Open Card action will open a new tab with the Causality view of the selected row, showing the causal chain of events that led to the alert. The Open Timeline action will open a new tab with the Timeline view of the selected row, showing the chronological sequence of events that occurred on the affected endpoint. These actions allow you to drill down into the details of each alert and understand the root cause and impact of the incident. References:

• Cortex XDR User Guide, Chapter 9: Investigate Alerts, Section: Pivot to Causality View and Timeline View
• PCDRA Study Guide, Section 3: Investigate and Respond to Alerts, Objective 3.1: Investigate alerts using the Causality view and Timeline view

 The output shows the top 10 hosts with the most malware in the last 30 days, based on the Cortex XDR data. The output is sorted by the number of incidents, with the host with the most incidents at the top. The output also shows the number of alerts, the number of endpoints, and the percentage of endpoints for each host. The output is generated by using the ACC (Application Command Center) feature of Cortex XDR, which provides a graphical representation of the network activity and threat landscape. The ACC allows you to view and analyze various widgets, such as the Top 10 hosts with the most malware, the Top 10 applications by bandwidth, the Top 10 threats by count, and more .

References:

• Use the ACC to Analyze Network Activity
• Top 10 Hosts with the Most Malware