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| Certification Vendor: | Palo Alto Networks |
|---|---|
| Exam Name: | Palo Alto Networks Certified XDR Analyst |
| Exam Number: | XDR-Analyst |
| Real Exam Qty: | 60-75 |
| Exam Format: | Multiple Select, Multiple Choice |
| Related Certifications: | Palo Alto Networks Certified XDR Engineer Palo Alto Networks Certified XSIAM Analyst |
| Exam Price: | $250 USD |
| Passing Score: | 860/1000 |
| Certificate Validity Period: | 2 years |
| Available Languages: | English |
| Exam Duration: | 90 minutes |
| 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 # 44
Live Terminal uses which type of protocol to communicate with the agent on the endpoint?
Answer: C
Explanation:
Live Terminal uses the WebSocket protocol to communicate with the agent on the endpoint. WebSocket is a full-duplex communication protocol that enables bidirectional data exchange between a client and a server over a single TCP connection. WebSocket is designed to be implemented in web browsers and web servers, but it can be used by any client or server application. WebSocket provides a persistent connection between the Cortex XDR console and the endpoint, allowing you to execute commands and receive responses in real time. Live Terminal uses port 443 for WebSocket communication, which is the same port used for HTTPS traffic. Reference:
Initiate a Live Terminal Session
WebSocket
NEW QUESTION # 45
Which of the following represents the correct relation of alerts to incidents?
Answer: B
Explanation:
The correct relation of alerts to incidents is that alerts with same causality chains that occur within a given time frame are grouped together into an incident. A causality chain is a sequence of events that are related to the same malicious activity, such as a malware infection, a lateral movement, or a data exfiltration. Cortex XDR uses a set of rules that take into account different attributes of the alerts, such as the alert source, type, and time period, to determine if they belong to the same causality chain. By grouping related alerts into incidents, Cortex XDR reduces the number of individual events to review and provides a complete picture of the attack with rich investigative details1.
Option A is incorrect, because alerts with the same host are not necessarily grouped together into one incident in a given time frame. Alerts with the same host may belong to different causality chains, or may be unrelated to any malicious activity. For example, if a host has a malware infection and a network anomaly, these alerts may not be grouped into the same incident, unless they are part of the same attack.
Option B is incorrect, because alerts that occur within a three hour time frame are not always grouped together into one incident. The time frame is not the only criterion for grouping alerts into incidents. Alerts that occur within a three hour time frame may belong to different causality chains, or may be unrelated to any malicious activity. For example, if a host has a file download and a registry modification within a three hour time frame, these alerts may not be grouped into the same incident, unless they are part of the same attack.
Option D is incorrect, because every alert does not create a new incident. Creating a new incident for every alert would result in alert fatigue and inefficient investigations. Cortex XDR aims to reduce the number of incidents by grouping related alerts into one incident, based on their causality chains and other attributes.
Reference:
Palo Alto Networks Certified Detection and Remediation Analyst (PCDRA) Study Guide, page 9 Palo Alto Networks Cortex XDR Documentation, Incident Management Overview2 Cortex XDR: Stop Breaches with AI-Powered Cybersecurity1
NEW QUESTION # 46
A file is identified as malware by the Local Analysis module whereas WildFire verdict is Benign, Assuming WildFire is accurate. Which statement is correct for the incident?
Answer: D
Explanation:
A false positive is a situation where a file or activity is incorrectly identified as malicious by a security tool, when in fact it is benign or harmless. A false positive can cause unnecessary alerts, disruptions, or remediation actions, and reduce the confidence and efficiency of the security system. In this question, a file is identified as malware by the Local Analysis module, whereas WildFire verdict is Benign, assuming WildFire is accurate. This means that the Local Analysis module has made a mistake and flagged a legitimate file as malicious, while WildFire has correctly determined that the file is safe. Therefore, this is an example of a false positive. The Local Analysis module is a feature of the Cortex XDR agent that uses a static set of pattern-matching rules and a statistical model to determine if an unknown file is likely to be malware. The Local Analysis module can provide a fast and offline verdict for files that are not yet analyzed by WildFire, but it is not as accurate or comprehensive as WildFire, which uses dynamic analysis and machine learning to examine the behavior and characteristics of files in a sandbox environment. WildFire verdicts are considered more reliable and authoritative than Local Analysis verdicts, and can override them in case of a discrepancy. Therefore, if a file is identified as malware by the Local Analysis module, but as Benign by WildFire, the WildFire verdict should be trusted and the Local Analysis verdict should be disregarded123 Reference:
False positive (security) - Wikipedia
Local Analysis
WildFire Overview
NEW QUESTION # 47
In incident-related widgets, how would you filter the display to only show incidents that were "starred"?
Answer: A
Explanation:
To filter the display to only show incidents that were "starred", you need to click the star in the widget. This will apply a filter that shows only the incidents that contain a starred alert, which is an alert that matches a specific condition that you define in the incident starring configuration. You can use the incident starring feature to prioritize and focus on the most important or relevant incidents in your environment1.
Let's briefly discuss the other options to provide a comprehensive explanation:
A . Create a custom XQL widget: This is not the correct answer. Creating a custom XQL widget is not necessary to filter the display to only show starred incidents. A custom XQL widget is a widget that you create by using the XQL query language to define the data source and the visualization type. You can use custom XQL widgets to create your own dashboards or reports, but they are not required for filtering incidents by stars2.
B . This is not currently supported: This is not the correct answer. Filtering the display to only show starred incidents is currently supported by Cortex XDR. You can use the star icon in the widget to apply this filter, or you can use the Filter Builder to create a custom filter based on the Starred field1.
C . Create a custom report and filter on starred incidents: This is not the correct answer. Creating a custom report and filtering on starred incidents is not the only way to filter the display to only show starred incidents. A custom report is a report that you create by using the Report Builder to define the data source, the layout, and the schedule. You can use custom reports to generate and share periodic reports on your Cortex XDR data, but they are not the only option for filtering incidents by stars3.
In conclusion, clicking the star in the widget is the simplest and easiest way to filter the display to only show incidents that were "starred". By using this feature, you can quickly identify and focus on the most critical or relevant incidents in your environment.
Reference:
Filter Incidents by Stars
Create a Custom XQL Widget
Create a Custom Report
NEW QUESTION # 48
When creating a custom XQL query in a dashboard, how would a user save that XQL query to the Widget Library?
Answer: D
Explanation:
To save a custom XQL query to the Widget Library, you need to click on "Save to Widget Library" in the dashboard and you will be prompted to give the query a name and description. This will allow you to reuse the query in other dashboards or reports. You cannot save a query to the Widget Library by clicking the three dots on the widget, as this will only give you options to edit, delete, or clone the widget. You also cannot save a query to the Action Center, as this is a different feature that allows you to create alerts or remediation actions based on the query results. You do not have to exit the dashboard and go into the Widget Library first to create a query, as you can do it directly from the dashboard. Reference:
Cortex XDR Pro Admin Guide: Save a Custom Query to the Widget Library
Cortex XDR Pro Admin Guide: Create a Dashboard
NEW QUESTION # 49
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