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| Certification Vendor: | Palo Alto Networks |
|---|---|
| Exam Name: | Palo Alto Networks Certified XDR Analyst |
| Exam Number: | XDR-Analyst |
| Exam Duration: | 90 minutes |
| Exam Price: | $250 USD |
| Exam Format: | Multiple Select, Multiple Choice |
| Available Languages: | English |
| Related Certifications: | Palo Alto Networks Certified XSIAM Analyst Palo Alto Networks Certified XDR Engineer |
| Real Exam Qty: | 60-75 |
| Certificate Validity Period: | 2 years |
| Passing Score: | 860/1000 |
| Sample Questions: | Palo Alto Networks XDR-Analyst Sample Questions |
| Exam Way: | Online proctored exam or test center delivery through Pearson VUE. |
| Pre Condition: | No formal prerequisite exams. Recommended knowledge includes cybersecurity fundamentals, SOC operations, incident analysis, and Cortex XDR basics. |
| Official Syllabus URL: | https://www.paloaltonetworks.com/services/education/palo-alto-networks-xdr-analyst |
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NEW QUESTION # 66
When reaching out to TAC for additional technical support related to a Security Event; what are two critical pieces of information you need to collect from the Agent? (Choose Two)
Answer: C,E
Explanation:
When reaching out to TAC for additional technical support related to a security event, two critical pieces of information you need to collect from the agent are:
The agent technical support file. This is a file that contains diagnostic information about the agent, such as its configuration, status, logs, and system information. The agent technical support file can help TAC troubleshoot and resolve issues with the agent or the endpoint. You can generate and download the agent technical support file from the Cortex XDR console, or from the agent itself.
The prevention archive from the alert. This is a file that contains forensic data related to the alert, such as the process tree, the network activity, the registry changes, and the files involved. The prevention archive can help TAC analyze and understand the alert and the malicious activity. You can generate and download the prevention archive from the Cortex XDR console, or from the agent itself.
The other options are not critical pieces of information for TAC, and may not be available or relevant for every security event. For example:
The distribution id of the agent is a unique identifier that is assigned to the agent when it is installed on the endpoint. The distribution id can help TAC identify the agent and its profile, but it is not sufficient to provide technical support or forensic analysis. The distribution id can be found in the Cortex XDR console, or in the agent installation folder.
A list of all the current exceptions applied to the agent is a set of rules that define the files, processes, or behaviors that are excluded from the agent's security policies. The exceptions can help TAC understand the agent's configuration and behavior, but they are not essential to provide technical support or forensic analysis. The exceptions can be found in the Cortex XDR console, or in the agent configuration file.
The unique agent id is a unique identifier that is assigned to the agent when it registers with Cortex XDR. The unique agent id can help TAC identify the agent and its endpoint, but it is not sufficient to provide technical support or forensic analysis. The unique agent id can be found in the Cortex XDR console, or in the agent log file.
Reference:
Generate and Download the Agent Technical Support File
Generate and Download the Prevention Archive
Cortex XDR Agent Administrator Guide: Agent Distribution ID
Cortex XDR Agent Administrator Guide: Exception Security Profiles
[Cortex XDR Agent Administrator Guide: Unique Agent ID]
NEW QUESTION # 67
Which type of IOC can you define in Cortex XDR?
Answer: B
Explanation:
Cortex XDR allows you to define IOC rules based on various types of indicators of compromise (IOC) that you can use to detect and respond to threats in your network. One of the types of IOC that you can define in Cortex XDR is destination IP address, which is the IP address of the remote host that a local endpoint is communicating with. You can use this type of IOC to identify malicious network activity, such as connections to command and control servers, phishing sites, or malware distribution hosts. You can also specify the direction of the network traffic (inbound or outbound) and the protocol (TCP or UDP) for the destination IP address IOC. Reference:
Cortex XDR documentation portal
Is there a possibility to create an IOC list to employ it in a query?
Cortex XDR Datasheet
NEW QUESTION # 68
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: B
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 # 69
What is the maximum number of agents one Broker VM local agent applet can support?
Answer: A
Explanation:
The Broker VM is a virtual machine that you can deploy in your network to provide various services and functionalities to the Cortex XDR agents. One of the services that the Broker VM offers is the Local Agent Settings applet, which allows you to configure the agent proxy, agent installer, and content caching settings for the agents. The Local Agent Settings applet can support a maximum number of 10,000 agents per Broker VM. If you have more than 10,000 agents in your network, you need to deploy additional Broker VMs and distribute the load among them. Reference:
Broker VM Overview: This document provides an overview of the Broker VM and its features, requirements, and deployment options.
Configure the Broker VM: This document explains how to install, set up, and configure the Broker VM in an ESXi environment.
Manage Broker VM from the Cortex XDR Management Console: This document describes how to activate and manage the Broker VM applets from the Cortex XDR management console.
NEW QUESTION # 70
What is the difference between presets and datasets in XQL?
Answer: C
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 # 71
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