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[General] 2026 Palo Alto Networks XDR-Analyst–The Best Brain Exam

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【General】 2026 Palo Alto Networks XDR-Analyst–The Best Brain Exam

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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
  • 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.
Topic 4
  • 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.

Pass Guaranteed Quiz Marvelous XDR-Analyst - Brain Palo Alto Networks XDR Analyst ExamXDR-Analyst practice test keeps a record of your attempts so you can evaluate and enhance your progress. Our Palo Alto Networks XDR Analyst (XDR-Analyst) practice exams replicate the real Palo Alto Networks XDR Analyst (XDR-Analyst) exam environment so you can eliminate your anxiety. You can access the web-based Palo Alto Networks XDR Analyst (XDR-Analyst) practice exam through browsers. Moreover, operating systems such as Mac, iOS, Android, Windows, and Linux support the online XDR-Analyst practice exam.
Palo Alto Networks XDR Analyst Sample Questions (Q82-Q87):NEW QUESTION # 82
What is the difference between presets and datasets in XQL?
  • A. A dataset is a Cortex data lake data source only; presets are built-in data source.
  • B. A dataset is a database; presets is a field.
  • C. A dataset is a third-party data source; presets are built-in data source.
  • D. A dataset is a built-in or third-party source; presets group XDR data fields.
Answer: D
Explanation:
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 your analysis. You can use presets with any Cortex data lake data source, but not with third-party data sources. Reference:
Datasets and Presets
XQL Language Reference

NEW QUESTION # 83
What is the purpose of the Cortex Data Lake?
  • A. the workspace for your Cortex XDR agents to detonate potential malware files
  • B. a local storage facility where your logs and alert data can be aggregated
  • C. a cloud-based storage facility where your firewall logs are stored
  • D. the interface between firewalls and the Cortex XDR agents
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 # 84
Which of the following is an example of a successful exploit?
  • A. identifying vulnerable services on a server.
  • B. connecting unknown media to an endpoint that copied malware due to Autorun.
  • C. executing a process executable for well-known and signed software.
  • D. a user executing code which takes advantage of a vulnerability on a local service.
Answer: D
Explanation:
A successful exploit is a piece of software or code that takes advantage of a vulnerability and executes malicious actions on the target system. A vulnerability is a weakness or flaw in a software or hardware component that can be exploited by an attacker. A successful exploit is one that achieves its intended goal, such as gaining unauthorized access, executing arbitrary code, escalating privileges, or compromising data.
In the given options, only B is an example of a successful exploit, because it involves a user executing code that exploits a vulnerability on a local service, such as a web server, a database, or a network protocol. This could allow the attacker to gain control over the service, access sensitive information, or perform other malicious actions.
Option A is not a successful exploit, because it involves connecting unknown media to an endpoint that copied malware due to Autorun. Autorun is a feature that automatically runs a program or script when a removable media, such as a USB drive, is inserted into a computer. This feature can be abused by malware authors to spread their malicious code, but it is not an exploit in itself. The malware still needs to exploit a vulnerability on the endpoint to execute its payload and cause damage.
Option C is not a successful exploit, because it involves identifying vulnerable services on a server. This is a step in the reconnaissance phase of an attack, where the attacker scans the target system for potential vulnerabilities that can be exploited. However, this does not mean that the attacker has successfully exploited any of the vulnerabilities, or that the vulnerabilities are even exploitable.
Option D is not a successful exploit, because it involves executing a process executable for well-known and signed software. This is a legitimate action that does not exploit any vulnerability or cause any harm. Well-known and signed software are programs that are widely used and trusted, and have a digital signature that verifies their authenticity and integrity. Executing such software does not pose a security risk, unless the software itself is malicious or compromised.
Reference:
Palo Alto Networks Certified Detection and Remediation Analyst (PCDRA) Study Guide, page 8 What Is an Exploit? Definition, Types, and Prevention Measures(https://heimdalsecurity.com/blog/what-is-an-exploit/) Exploit Definition & Meaning - Merriam-Webster(https://www.merriam-webster.com/dictionary/exploit)

NEW QUESTION # 85
An attacker tries to load dynamic libraries on macOS from an unsecure location. Which Cortex XDR module can prevent this attack?
  • A. Hot Patch Protection
  • B. Dylib Hijacking
  • C. Kernel Integrity Monitor (KIM)
  • D. DDL Security
Answer: B
Explanation:
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.
Reference:
Endpoint Protection Modules
DDL Security
Hot Patch Protection
Kernel Integrity Monitor

NEW QUESTION # 86
You can star security events in which two ways? (Choose two.)
  • A. Create an Incident-starring configuration.
  • B. Manually star an alert.
  • C. Create an alert-starring configuration.
  • D. Manually star an Incident.
Answer: B,D
Explanation:
You can star security events in Cortex XDR in two ways: manually star an alert or an incident, or create an alert-starring or incident-starring configuration. Starring security events helps you prioritize and track the events that are most important to you. You can also filter and sort the events by their star status in the Cortex XDR console.
To manually star an alert or an incident, you can use the star icon in the Alerts table or the Incidents table. You can also star an alert from the Causality View or the Query Center Results table. You can star an incident from the Incident View or the Query Center Results table. You can also unstar an event by clicking the star icon again.
To create an alert-starring or incident-starring configuration, you can use the Alert Starring Configuration or the Incident Starring Configuration pages in the Cortex XDR console. You can define the criteria for starring alerts or incidents based on their severity, category, source, or other attributes. You can also enable or disable the configurations as needed.
Reference:
Star Security Events
Create an Alert Starring Configuration
Create an Incident Starring Configuration

NEW QUESTION # 87
......
A steadily rising competition has been noted in the tech field. Countless candidates around the globe aspire to be Palo Alto Networks XDR Analyst in this field. Once you become Palo Alto Networks certified, a whole new scope opens up to you and you are immediately hired by reputed firms. Even though the Palo Alto Networks XDR Analyst certification boosts your career options, you have to pass the XDR-Analyst Exam.
XDR-Analyst Exam Pass Guide: https://www.dumpsvalid.com/XDR-Analyst-still-valid-exam.html
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