Sample XDR-Analyst Questions Pdf - XDR-Analyst Certification Exam Cost

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Palo Alto Networks XDR-Analyst Exam Syllabus Topics:

TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.

Palo Alto Networks XDR Analyst Sample Questions (Q37-Q42):

NEW QUESTION # 37
Which version of python is used in live terminal?

Answer: D

Explanation:
Live terminal uses Python 3 with standard Python libraries to run Python commands and scripts on the endpoint. Live terminal does not support Python 2 or any custom or external Python libraries. Live terminal uses the Python interpreter embedded in the Cortex XDR agent, which is based on Python 3.7.4. The standard Python libraries are the modules that are included with the Python installation and provide a wide range of functionalities, such as operating system interfaces, network programming, data processing, and more. You can use the Python commands and scripts to perform advanced tasks or automation on the endpoint, such as querying system information, modifying files or registry keys, or running other applications. Reference:
Run Python Commands and Scripts
Python Standard Library


NEW QUESTION # 38
What license would be required for ingesting external logs from various vendors?

Answer: C

Explanation:
To ingest external logs from various vendors, you need a Cortex XDR Pro per TB license. This license allows you to collect and analyze logs from Palo Alto Networks and third-party sources, such as firewalls, proxies, endpoints, cloud services, and more. You can use the Log Forwarding app to forward logs from the Logging Service to an external syslog receiver. The Cortex XDR Pro per Endpoint license only supports logs from Cortex XDR agents installed on endpoints. The Cortex XDR Vendor Agnostic Pro and Cortex XDR Cloud per Host licenses do not exist. Reference:
Features by Cortex XDR License Type
Log Forwarding App for Cortex XDR Analytics
SaaS Log Collection


NEW QUESTION # 39
Which function describes the removal of a specific file from its location on a local or removable drive to a protected folder to prevent the file from being executed?

Answer: A

Explanation:
The function that describes the removal of a specific file from its location on a local or removable drive to a protected folder to prevent the file from being executed is quarantine. Quarantine is a feature of Cortex XDR that allows you to isolate malicious or suspicious files from the endpoint and prevent them from running or spreading. You can quarantine files manually from the Cortex XDR console, or automatically based on the malware analysis profile or the remediation suggestions. When you quarantine a file, the Cortex XDR agent encrypts the file and moves it to a hidden folder under the agent installation directory. The file is also renamed with a random string and a .quarantine extension. You can view, restore, or delete the quarantined files from the Cortex XDR console. Reference:
Quarantine Files
Manage Quarantined Files


NEW QUESTION # 40
Which of the following is an example of a successful exploit?

Answer: C

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 # 41
Which engine, of the following, in Cortex XDR determines the most relevant artifacts in each alert and aggregates all alerts related to an event into an incident?

Answer: D

Explanation:
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.
Reference:
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


NEW QUESTION # 42
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