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Palo Alto Networks XDR-Analyst Exam Syllabus Topics:
Topic
Details
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
- 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
- Endpoint Security Management:
Topic 5
- 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.
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Palo Alto Networks XDR Analyst Sample Questions (Q17-Q22):
NEW QUESTION # 17
Which statement regarding scripts in Cortex XDR is true?
- A. The script is run on the machine uploading the script to ensure that it is operational.
- B. Any version of Python script can be run.
- C. The level of risk is assigned to the script upon import.
- D. Any script can be imported including Visual Basic (VB) scripts.
Answer: C
Explanation:
The correct answer is B, the level of risk is assigned to the script upon import. When you import a script to the Agent Script Library in Cortex XDR, you need to specify the level of risk associated with the script. The level of risk determines the permissions and restrictions for running the script on endpoints. The levels of risk are:
Low: The script can be run on any endpoint without requiring approval from the Cortex XDR administrator. The script can also be used in remediation suggestions or automation actions.
Medium: The script can be run on any endpoint, but requires approval from the Cortex XDR administrator. The script can also be used in remediation suggestions or automation actions.
High: The script can only be run on isolated endpoints, and requires approval from the Cortex XDR administrator. The script cannot be used in remediation suggestions or automation actions.
The other options are incorrect for the following reasons:
A is incorrect because not any version of Python script can be run in Cortex XDR. The scripts must be written in Python 2.7, and must follow the guidelines and limitations described in the Cortex XDR documentation. For example, the scripts must not exceed 64 KB in size, must not use external libraries or modules, and must not contain malicious or harmful code.
C is incorrect because not any script can be imported to Cortex XDR, including Visual Basic (VB) scripts. The scripts must be written in Python 2.7, and must follow the guidelines and limitations described in the Cortex XDR documentation. VB scripts are not supported by Cortex XDR, and will not run on the endpoints.
D is incorrect because the script is not run on the machine uploading the script to ensure that it is operational. The script is only validated for syntax errors and size limitations when it is imported to the Agent Script Library. The script is not executed or tested on the machine uploading the script, and the script may still fail or cause errors when it is run on the endpoints.
Reference:
Agent Script Library
Import a Script
Run Scripts on an Endpoint
NEW QUESTION # 18
What is the Wildfire analysis file size limit for Windows PE files?
- A. No Limit
- B. 1GB
- C. 500MB
- D. 100MB
Answer: D
Explanation:
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.
Reference:
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.
NEW QUESTION # 19
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?
- A. Causality Analysis Engine
- B. Causality Chain Engine
- C. Log Stitching Engine
- D. Sensor Engine
Answer: A
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 # 20
Which version of python is used in live terminal?
- A. Python 2 and 3 with standard Python libraries
- B. Python 3 with specific XDR Python libraries developed by Palo Alto Networks
- C. Python 2 and 3 with specific XDR Python libraries developed by Palo Alto Networks
- D. Python 3 with standard Python libraries
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 # 21
Which Type of IOC can you define in Cortex XDR?
- A. e-mail address
- B. App-ID
- C. destination port
- D. full path
Answer: D
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:WindowsSystem32calc.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.
Reference:
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?
NEW QUESTION # 22
......
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