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Palo Alto Networks XDR-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	Detection and Reporting: This section of the exam measures skills of the detection engineer and covers creating detection rules to meet security requirements, including correlation, custom prevention rules, and the use of behavioral indicators of compromise (BIOCs) and indicators of compromise (IOCs). It also assesses configuring exceptions and exclusions, as well as building custom dashboards and reporting templates for effective threat detection and reporting.
Topic 2	Cortex XDR Agent Configuration: This section of the exam measures skills of the XDR engineer and covers configuring endpoint prevention profiles and policies, setting up endpoint extension profiles, and managing endpoint groups. The focus is on ensuring endpoints are properly protected and policies are consistently applied across the organization.
Topic 3	Ingestion and Automation: This section of the exam measures skills of the security engineer and covers onboarding various data sources including NGFW, network, cloud, and identity systems. It also includes managing simple automation rules, configuring Broker VM applets and clusters, setting up XDR Collectors, and creating parsing rules for data normalization and automation within the Cortex XDR environment.
Topic 4	Planning and Installation: This section of the exam measures skills of the security engineer and covers the deployment process, objectives, and required resources such as hardware, software, data sources, and integrations for Cortex XDR. It also includes understanding and explaining the deployment and functionality of components like the XDR agent, Broker VM, XDR Collector, and Cloud Identity Engine. Additionally, it assesses the ability to configure user roles, permissions, and access controls, as well as knowledge of data retention and compute unit considerations.
Topic 5	Maintenance and Troubleshooting: This section of the exam measures skills of the XDR engineer and covers managing software component updates for Cortex XDR, such as content, agents, Collectors, and Broker VM. It also includes troubleshooting data management issues like data ingestion and parsing, as well as resolving issues with Cortex XDR components to ensure ongoing system reliability and performance.

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Palo Alto Networks XDR Engineer Sample Questions (Q45-Q50):

NEW QUESTION # 45
During a recent internal purple team exercise, the following recommendation is given to the detection engineering team: Detect and prevent command line invocation of Python on Windows endpoints by non- technical business units. Which rule type should be implemented?

A. Indicator of Compromise (IOC)
B. Correlation
C. Analytics Behavioral Indicator of Compromise (ABIOC)
D. Behavioral Indicator of Compromise (BIOC)

Answer: D

Explanation:
The recommendation requires detecting and preventing the command line invocation of Python (e.g., python.
exe or py.exe) on Windows endpoints, specifically for non-technical business units. This involves identifying a specific behavior (command line execution of Python) and enforcing a preventive action (e.g., blocking the process). In Cortex XDR,Behavioral Indicators of Compromise (BIOCs)are used to define and detect specific patterns of behavior on endpoints, such as command line activities, and can be paired with a Restriction profileto block the behavior.
* Correct Answer Analysis (B):ABehavioral Indicator of Compromise (BIOC)rule should be implemented. The BIOC can be configured to detect the command line invocation of Python by defining conditions such as the process name (python.exe or py.exe) and the command line arguments.
For example, a BIOC rule might look for process = python.exe with a command line pattern like cmd.
exe /c python*. This BIOC can then be added to a Restriction profile to prevent the execution of Python by non-technical business units, which can be targeted by applying the profile to specific endpoint groups (e.g., those assigned to non-technical units).
* Why not the other options?
* A. Analytics Behavioral Indicator of Compromise (ABIOC): ABIOCs are analytics-driven rules generated by Cortex XDR's machine learning and behavioralanalytics, not user-defined rules. They are not suitable for creating custom detection and prevention rules like the one needed here.
* C. Correlation: Correlation rules are used to generate alerts by correlating events across multiple datasets (e.g., network and endpoint data), but they do not directly prevent behaviors like command line execution.
* D. Indicator of Compromise (IOC): IOCs are used to detect specific artifacts (e.g., file hashes, IP addresses) associated with known threats, not to detect and prevent behavioral patterns like command line execution.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains BIOC rules: "Behavioral Indicators of Compromise (BIOCs) can detect specific endpoint behaviors, such as command line invocation of processes like Python, and prevent them when added to a Restriction profile" (paraphrased from the BIOC section). TheEDU-260:
Cortex XDR Prevention and Deploymentcourse covers detection engineering, stating that "BIOCs are used to detect and block specific behaviors, such as command line executions, on Windows endpoints" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes
"detection engineering" as a key exam topic, encompassing BIOC rule creation.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

NEW QUESTION # 46
A query is created that will run weekly via API. After it is tested and ready, it is reviewed in the Query Center. Which available column should be checked to determine how many compute units will be used when the query is run?

A. Query Status
B. Compute Unit Quota
C. Simulated Compute Units
D. Compute Unit Usage

Answer: D

Explanation:
In Cortex XDR, theQuery Centerallows administrators to manage and reviewXQL (XDR Query Language) queries, including those scheduled to run via API. Each query consumescompute units, a measure of the computational resources required to execute the query. To determine how many compute units a query will use, theCompute Unit Usagecolumn in the Query Center provides the actual or estimated resource consumption based on the query's execution history or configuration.
* Correct Answer Analysis (B):TheCompute Unit Usagecolumn in the Query Center displays the number of compute units consumed by a query when it runs. For a tested and ready query, this column provides the most accurate information on resource usage, helping administrators plan for API-based executions.
* Why not the other options?
* A. Query Status: The Query Status column indicates whether the query ran successfully, failed, or is pending, but it does not provide information on compute unit consumption.
* C. Simulated Compute Units: While some systems may offer simulated estimates, Cortex XDR' s Query Center does not have a "Simulated Compute Units" column. The actual usage is tracked in Compute Unit Usage.
* D. Compute Unit Quota: The Compute Unit Quota refers to the total available compute units for the tenant, not the specific usage of an individual query.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Query Center functionality: "The Compute Unit Usage column in the Query Center shows the compute units consumed by a query, enabling administrators to assess resource usage for scheduled or API-based queries" (paraphrased from the Query Center section). TheEDU-
262: Cortex XDR Investigation and Responsecourse covers query management, stating that "Compute Unit Usage provides details on the resources used by each query in the Query Center" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "maintenance and troubleshooting" as a key exam topic, encompassing query resource management.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-262: Cortex XDR Investigation and Response Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

NEW QUESTION # 47
Which two steps should be considered when configuring the Cortex XDR agent for a sensitive and highly regulated environment? (Choose two.)

A. Enable critical environment versions
B. Create an agent settings profile, enable content auto-update, and include a delay of four days
C. Enable minor content version updates
D. Create an agent settings profile where the agent upgrade scope is maintenance releases only

Answer: B,D

Explanation:
In a sensitive and highly regulated environment (e.g., healthcare, finance), Cortex XDR agent configurations must balance security with stability and compliance. This often involves controlling agent upgrades and content updates to minimize disruptions while ensuring timely protection updates. The following steps are recommended to achieve this balance.
* Correct Answer Analysis (B, C):
* B. Create an agent settings profile where the agent upgrade scope is maintenance releases only: In regulated environments, frequent agent upgrades can introduce risks of instability or compatibility issues. Limiting upgrades tomaintenance releases only(e.g., bug fixes and minor updates, not major version changes) ensures stability while addressing critical issues. This is configured in the agent settings profile to control the upgrade scope.
* C. Create an agent settings profile, enable content auto-update, and include a delay of four days: Content updates (e.g., Behavioral Threat Protection rules, localanalysis logic) are critical for maintaining protection but can be delayed in regulated environments to allow for testing.
Enablingcontent auto-updatewith afour-day delayensures that updates are applied automatically but provides a window to validate changes, reducing the risk of unexpected behavior.
* Why not the other options?
* A. Enable critical environment versions: There is no specific "critical environment versions" setting in Cortex XDR. This option appears to be a misnomer and does not align with standard agent configuration practices for regulated environments.
* D. Enable minor content version updates: While enabling minor content updates can be useful, it does not provide the control needed in a regulated environment (e.g., a delay for testing).
Option C (auto-update with a delay) is a more comprehensive and appropriate step.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains agent configurations for regulated environments: "In sensitive environments, configure agent settings profiles to limit upgrades to maintenance releases and enable content auto-updates with a delay (e.g., four days) to ensure stability and compliance" (paraphrased from the Agent Settings section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers agent management, stating that "maintenance-only upgrades and delayed content updates are recommended for regulated environments to balance security and stability" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "Cortex XDR agent configuration" as a key exam topic, encompassing settings for regulated environments.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

NEW QUESTION # 48
The most recent Cortex XDR agents are being installed at a newly acquired company. A list with endpoint types (i.e., OS, hardware, software) is provided to the engineer. What should be cross-referenced for the Linux systems listed regarding the OS types and OS versions supported?

A. Content Compatibility Matrix
B. Agent Installer Certificate
C. Kernel Module Version Support
D. End-of-Life Summary

Answer: C

Explanation:
When installing Cortex XDR agents on Linux systems, ensuring compatibility with the operating system (OS) type and version is critical, especially for the most recent agent versions. Linux systems require specific kernel module support because the Cortex XDR agent relies on kernel modules for core functionality, such as process monitoring, file system protection, and network filtering. TheKernel Module Version Support documentation provides detailed information on which Linux distributions (e.g., Ubuntu, CentOS, RHEL) and kernel versions are supported by the Cortex XDR agent, ensuring the agent can operate effectively on the target systems.
* Correct Answer Analysis (B):TheKernel Module Version Supportshould be cross-referenced for Linux systems to verify that the OS types (e.g., Ubuntu, CentOS) and specific kernel versions listed are supported by the Cortex XDR agent. This ensures that the agent's kernel modules, which are essential for protection features, are compatible with the Linux endpoints at the newly acquired company.
* Why not the other options?
* A. Content Compatibility Matrix: A Content Compatibility Matrix typically details compatibility between content updates (e.g., Behavioral Threat Protection rules) and agent versions, not OS or kernel compatibility for Linux systems.
* C. End-of-Life Summary: The End-of-Life Summary provides information on agent versions or OS versions that are no longer supported by Palo Alto Networks, but it is not the primary resource for checking current OS and kernel compatibility.
* D. Agent Installer Certificate: The Agent Installer Certificate relates to the cryptographic verification of the agent installer package, not to OS or kernel compatibility.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Linux agent requirements: "For Linux systems, cross- reference the Kernel Module Version Support to ensure compatibility with supported OS types and kernel versions" (paraphrased from the Linux Agent Deployment section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers Linux agent installation, stating that "Kernel Module Version Support lists compatible Linux distributions and kernel versions for Cortex XDR agents" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "planning and installation" as a key exam topic, encompassing Linux agent compatibility checks.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-260: Cortex XDR Prevention and Deployment Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

NEW QUESTION # 49
An XDR engineer is creating a correlation rule to monitor login activity on specific systems. When the activity is identified, an alert is created. The alerts are being generated properly but are missing the username when viewed. How can the username information be included in the alerts?

A. Update the query in the correlation rule to include the username field
B. Add a mapping for the username field in the alert fields mapping
C. Add a drill-down query to the alert which pulls the username field
D. Select "Initial Access" in the MITRE ATT&CK mapping to include the username

Answer: B

Explanation:
In Cortex XDR,correlation rulesare used to detect specific patterns or behaviors (e.g., login activity) by analyzing ingested data and generating alerts when conditions are met. For an alert to include specific fields likeusername, the field must be explicitly mapped in thealert fields mappingconfiguration of the correlation rule. This mapping determines which fields from theunderlying dataset are included in the generated alert's details.
In this scenario, the correlation rule is correctly generating alerts for login activity, but theusernamefield is missing. This indicates that the correlation rule's query may be identifying the relevant events, but the usernamefield is not included in the alert's output fields. To resolve this, the engineer must update thealert fields mappingin the correlation rule to explicitly include theusernamefield, ensuring it appears in the alert details when viewed.
* Correct Answer Analysis (C):Adding a mapping for theusernamefield in thealert fields mapping ensures that the field is extracted from the dataset and included in the alert's metadata. This is done in the correlation rule configuration, where administrators can specify which fields to include in the alert output.
* Why not the other options?
* A. Select "Initial Access" in the MITRE ATT&CK mapping to include the username:
Mapping to a MITRE ATT&CK technique like "Initial Access" defines the type of attack or behavior, not specific fields likeusername. This does not address the missing field issue.
* B. Update the query in the correlation rule to include the username field: While the correlation rule's query must reference theusernamefield to detect relevant events, including it in the query alone does not ensure it appears in the alert's output. Thealert fields mappingis still required.
* D. Add a drill-down query to the alert which pulls the username field: Drill-down queries are used for additional investigation after an alert is generated, not for including fields in the alert itself. This does not solve the issue of missingusernamein the alert details.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes correlation rule configuration: "To include specific fields in generated alerts, configure the alert fields mapping in the correlation rule to map dataset fields, such as username, to the alert output" (paraphrased from the Correlation Rules section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers detection engineering, stating that "alert fields mapping determines which data fields are included in alerts generated by correlation rules" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing correlation rule configuration.
References:
Palo Alto Networks Cortex XDR Documentation Portal:https://docs-cortex.paloaltonetworks.com/ EDU-262: Cortex XDR Investigation and Response Course Objectives Palo Alto Networks Certified XDR Engineer Datasheet:https://www.paloaltonetworks.com/services/education
/certification#xdr-engineer

NEW QUESTION # 50
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Perfect Real XDR-Engineer Torrent–100% Efficient Certification Palo Alto Networks XDR Engineer Dump

Palo Alto Networks XDR-Engineer Exam Syllabus Topics:

Palo Alto Networks XDR-Engineer Exam | Real XDR-Engineer Torrent - Offer you Valid Certification XDR-Engineer Dump

Palo Alto Networks XDR Engineer Sample Questions (Q45-Q50):

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