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Title: Reliable XDR-Analyst Cram Materials, Exam XDR-Analyst Tutorials
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Palo Alto Networks XDR-Analyst Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 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 (Q84-Q89):NEW QUESTION # 84
As a Malware Analyst working with Cortex XDR you notice an alert suggesting that there was a prevented attempt to open a malicious Word document. You learn from the WildFire report and AutoFocus that this document is known to have been used in Phishing campaigns since 2018. What steps can you take to ensure that the same document is not opened by other users in your organization protected by the Cortex XDR agent?
Answer: A
Explanation:
The correct answer is B, create Behavioral Threat Protection (BTP) rules to recognize and prevent the activity. BTP rules are a powerful feature of Cortex XDR that allow you to define custom rules to detect and block malicious behaviors on endpoints. You can use BTP rules to create indicators of compromise (IOCs) based on file attributes, registry keys, processes, network connections, and other criteria. By creating BTP rules, you can prevent the same malicious Word document from being opened by other users in your organization, even if the document has a different name or hash value. BTP rules are updated through content updates and can be managed from the Cortex XDR console.
The other options are incorrect for the following reasons:
A is incorrect because enabling DLL Protection on all endpoints is not a specific or effective way to prevent the malicious Word document. DLL Protection is a feature of Cortex XDR that prevents the loading of unsigned or untrusted DLLs by protected processes. However, this feature does not apply to Word documents or macros, and may cause false positives or compatibility issues with legitimate applications.
C is incorrect because relying on Cortex to share IOCs with the Cyber Threat Alliance members is not a proactive or sufficient way to prevent the malicious Word document. The Cyber Threat Alliance is a group of cybersecurity vendors that share threat intelligence and best practices to improve their products and services. However, not all vendors are members of the alliance, and not all IOCs are shared or updated in a timely manner. Therefore, you cannot assume that other users in your organization are protected by the same IOCs as Cortex XDR.
D is incorrect because doing nothing is not a responsible or secure way to prevent the malicious Word document. Even though Cortex XDR agent prevented the attempt to open the document on one endpoint, it does not mean that the document is no longer a threat. The document may still be circulating in your network or email system, and may be opened by other users who have different agent profiles or policies. Therefore, you should take steps to identify and block the document across your organization.
Reference:
Cortex XDR Agent Administrator Guide: Behavioral Threat Protection
Cortex XDR Agent Administrator Guide: DLL Protection
Palo Alto Networks: Cyber Threat Alliance

NEW QUESTION # 85
Which of the following represents a common sequence of cyber-attack tactics?
Answer: C
Explanation:
A common sequence of cyber-attack tactics is based on the Cyber Kill Chain model, which describes the stages of a cyber intrusion from the perspective of the attacker. The Cyber Kill Chain model consists of seven phases: reconnaissance, weaponization, delivery, exploitation, installation, command and control, and actions on the objective. These phases are briefly explained below:
Reconnaissance: The attacker gathers information about the target, such as its network, systems, vulnerabilities, employees, and business operations. The attacker may use various methods, such as scanning, phishing, or searching open sources, to collect data that can help them plan the attack.
Weaponization: The attacker creates or obtains a malicious payload, such as malware, exploit, or script, that can be used to compromise the target. The attacker may also embed the payload into a delivery mechanism, such as an email attachment, a web link, or a removable media.
Delivery: The attacker sends or delivers the weaponized payload to the target, either directly or indirectly. The attacker may use various channels, such as email, web, or physical access, to reach the target's network or system.
Exploitation: The attacker exploits a vulnerability or weakness in the target's network or system to execute the payload. The vulnerability may be technical, such as a software flaw, or human, such as a social engineering trick.
Installation: The attacker installs or drops additional malware or tools on the target's network or system to establish a foothold and maintain persistence. The attacker may use various techniques, such as registry modification, file manipulation, or process injection, to hide their presence and evade detection.
Command and Control: The attacker establishes a communication channel between the compromised target and a remote server or controller. The attacker may use various protocols, such as HTTP, DNS, or IRC, to send commands and receive data from the target.
Actions on the objective: The attacker performs the final actions that achieve their goal, such as stealing data, destroying files, encrypting systems, or disrupting services. The attacker may also try to move laterally within the target's network or system to access more resources or data.
Reference:
Cyber Kill Chain: This document explains the Cyber Kill Chain model and how it can be used to analyze and respond to cyberattacks.
Cyber Attack Tactics: This document provides an overview of some common cyber attack tactics and examples of how they are used by threat actors.

NEW QUESTION # 86
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 # 87
Network attacks follow predictable patterns. If you interfere with any portion of this pattern, the attack will be neutralized. Which of the following statements is correct?
Answer: B
Explanation:
Cortex XDR Analytics is a cloud-based service that uses machine learning and artificial intelligence to detect and prevent network attacks. Cortex XDR Analytics can interfere with the attack pattern as soon as it is observed on the endpoint by applying protection policies that block malicious processes, files, or network connections. This way, Cortex XDR Analytics can stop the attack before it causes any damage or compromises the system. Reference:
[Cortex XDR Analytics Overview]
[Cortex XDR Analytics Protection Policies]

NEW QUESTION # 88
While working the alerts involved in a Cortex XDR incident, an analyst has found that every alert in this incident requires an exclusion. What will the Cortex XDR console automatically do to this incident if all alerts contained have exclusions?
Answer: A
Explanation:
If all alerts contained in a Cortex XDR incident have exclusions, the Cortex XDR console will automatically mark the incident as Resolved - False Positive. This means that the incident was not a real threat, but a benign or legitimate activity that triggered an alert. By marking the incident as Resolved - False Positive, the Cortex XDR console removes the incident from the list of unresolved incidents and does not count it towards the incident statistics. This helps the analyst to focus on the true positive incidents that require further investigation and response1.
An exclusion is a rule that hides an alert from the Cortex XDR console, based on certain criteria, such as the alert source, type, severity, or description. An exclusion does not change the security policy or prevent the alert from firing, it only suppresses the alert from the console. An exclusion is useful when the analyst wants to reduce the noise of false positive alerts that are not relevant or important2.
An exception, on the other hand, is a rule that overrides the security policy and allows or blocks a process or file from running on an endpoint, based on certain attributes, such as the file hash, path, name, or signer. An exception is useful when the analyst wants to prevent false negative alerts that are caused by malicious or unwanted files or processes that are not detected by the security policy3.
A BIOC rule is a rule that creates an alert based on a custom XQL query that defines a specific behavior of interest or concern. A BIOC rule is useful when the analyst wants to detect and alert on anomalous or suspicious activities that are not covered by the default Cortex XDR rules4.
Reference:
Palo Alto Networks Cortex XDR Documentation, Resolve an Incident1
Palo Alto Networks Cortex XDR Documentation, Alert Exclusions2
Palo Alto Networks Cortex XDR Documentation, Exceptions3
Palo Alto Networks Cortex XDR Documentation, BIOC Rules4

NEW QUESTION # 89
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