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Palo Alto Networks XDR-Engineer Prüfungsplan:

Thema
Einzelheiten

Thema 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.

Thema 2

• 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.

Thema 3

• 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.

Thema 4

• 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.

Thema 5

• 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.

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Palo Alto Networks XDR Engineer XDR-Engineer Prüfungsfragen mit Lösungen (Q14-Q19):

14. Frage
How can a Malware profile be configured to prevent a specific executable from being uploaded to the cloud?

• A. Add the executable to the allow list for executions
• B. Disable on-demand file examination for the executable
• C. Set PE and DLL examination for the executable to report action mode
• D. Create an exclusion rule for the executable

Antwort: D

Begründung:
In Cortex XDR,Malware profilesdefine how the agent handles files for analysis, including whether they are uploaded to the cloud forWildFireanalysis or other cloud-based inspections. To prevent a specific executable from being uploaded to the cloud, the administrator can configure anexclusion rulein the Malware profile.
Exclusion rules allow specific files, directories, or patterns to be excluded from cloud analysis, ensuring they are not sent to the cloud while still allowing local analysis or other policy enforcement.
* Correct Answer Analysis (D):Creating anexclusion rulefor the executable in the Malware profile ensures that the specified file is not uploaded to the cloud for analysis. This can be done by specifying the file's name, hash, or path in the exclusion settings, preventing unnecessary cloud uploads while maintaining agent functionality for other files.
* Why not the other options?
* A. Disable on-demand file examination for the executable: Disabling on-demand file examination prevents the agent from analyzing the file at all, which could compromise security by bypassing local and cloud analysis entirely. This is not the intended solution.
* B. Set PE and DLL examination for the executable to report action mode: Setting examination to "report action mode" configures the agent to log actions without blocking or uploading, but it does not specifically prevent cloud uploads. This option is unrelated to controlling cloud analysis.
* C. Add the executable to the allow list for executions: Adding an executable to the allow list permits it to run without triggering prevention actions, but it does not prevent the file from being uploaded to the cloud for analysis.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Malware profile configuration: "Exclusion rules in Malware profiles allow administrators to specify files or directories that are excluded from cloud analysis, preventing uploads to WildFire or other cloud services" (paraphrased from the Malware Profile Configuration section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers agent configuration, stating that "exclusion rules can be used to prevent specific files from being sent to the cloud for analysis" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes
"Cortex XDR agent configuration" as a key exam topic, encompassing Malware profile settings.
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

15. Frage
An engineer wants to automate the handling of alerts in Cortex XDR and defines several automation rules with different actions to be triggered based on specific alert conditions. Some alerts do not trigger the automation rules as expected. Which statement explains why the automation rules might not apply to certain alerts?

• A. They are executed in sequential order, so alerts may not trigger the correct actions if the rules are not configured properly
• B. They can only be triggered by alerts with high severity; alerts with low or informational severity will not trigger the automation rules
• C. They only apply to new alerts grouped into incidents by the system and only alerts that generateincidents trigger automation actions
• D. They can be applied to any alert, but they only work if the alert is manually grouped into an incident by the analyst

Antwort: A

Begründung:
In Cortex XDR,automation rules(also known as response actions or playbooks) are used to automate alert handling based on specific conditions, such as alert type, severity, or source. These rules are executed in a defined order, and the first rule that matches an alert's conditions triggers its associated actions. If automation rules are not triggering as expected, the issue often lies in their configuration or execution order.
* Correct Answer Analysis (A):Automation rules areexecuted in sequential order, and each alert is evaluated against the rules in the order they are defined. If the rules are not configured properly (e.g., overly broad conditions in an earlier rule or incorrect prioritization), an alert may match an earlier rule and trigger its actions instead of the intended rule, or it may not match any rule due to misconfigured conditions. This explains why some alerts do not trigger the expected automation rules.
* Why not the other options?
* B. They only apply to new alerts grouped into incidents by the system and only alerts that generate incidents trigger automation actions: Automation rules can apply to both standalone alerts and those grouped into incidents. They are not limited to incident-related alerts.
* C. They can only be triggered by alerts with high severity; alerts with low or informational severity will not trigger the automation rules: Automation rules can be configured to trigger based on any severity level (high, medium, low, or informational), so this is not a restriction.
* D. They can be applied to any alert, but they only work if the alert is manually grouped into an incident by the analyst: Automation rules do not require manual incident grouping; they can apply to any alert based on defined conditions, regardless of incident status.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains automation rules: "Automation rules are executed in sequential order, and the first rule matching an alert's conditions triggers its actions. Misconfigured rules or incorrect ordering can prevent expected actions from being applied" (paraphrased from the Automation Rules section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers automation, stating that
"sequential execution of automation rules requires careful configuration to ensure the correct actions are triggered" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheet includes "playbook creation and automation" as a key exam topic, encompassing automation 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

16. Frage
Which statement describes the functionality of fixed filters and dashboard drilldowns in enhancing a dashboard's interactivity and data insights?

• A. Fixed filters allow users to select predefined data values, while dashboard drilldowns enable users to alter the scope of the data displayed by selecting filter values from the dashboard header
• B. Fixed filters limit the data visible in widgets, while dashboard drilldowns allow users to download data from the dashboard in various formats
• C. Fixed filters allow users to adjust the layout, while dashboard drilldowns provide links to external reports and/or dashboards
• D. Fixed filters let users select predefined or dynamic values to adjust the scope, while dashboard drilldowns provide interactive insights or trigger contextual changes, like linking to XQL searches

Antwort: D

Begründung:
In Cortex XDR,fixed filtersanddashboard drilldownsare key features that enhance the interactivity and usability of dashboards. Fixed filters allow users to refine the data displayed in dashboard widgets by selecting predefined or dynamic values (e.g., time ranges, severities, or alertsources), adjusting the scope of the data presented. Dashboard drilldowns, on the other hand, enable users to interact with widget elements (e.
g., clicking on a chart bar) to gain deeper insights, such as navigating to detailed views, other dashboards, or executingXQL (XDR Query Language)searches for granular data analysis.
* Correct Answer Analysis (C):The statement in option C accurately describes the functionality:Fixed filters let users select predefined or dynamic values to adjust the scope, ensuring users can focus on specific subsets of data (e.g., alerts from a particular source).Dashboard drilldowns provide interactive insights or trigger contextual changes, like linking to XQL searches, allowing users to explore related data or perform detailed investigations directly from the dashboard.
* Why not the other options?
* A. Fixed filters allow users to select predefined data values, while dashboard drilldowns enable users to alter the scope of the data displayed by selecting filter values from the dashboard header: This is incorrect because drilldowns do not alter the scope via dashboard header filters; they provide navigational or query-based insights (e.g., linking to XQL searches).
Additionally, fixed filters support both predefined and dynamic values, not just predefined ones.
* B. Fixed filters limit the data visible in widgets, while dashboard drilldowns allow users to download data from the dashboard in various formats: While fixed filters limit data in widgets, drilldowns do not primarily facilitate data downloads. Downloads are handled via export functions, not drilldowns.
* D. Fixed filters allow users to adjust the layout, while dashboard drilldowns provide links to external reports and/or dashboards: Fixed filters do not adjust the dashboard layout; they filter data. Drilldowns can link to other dashboards but not typically to external reports, and their primary role is interactive data exploration, not just linking.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes dashboard features: "Fixed filters allow users to select predefined or dynamic values to adjust the scope of data in widgets. Drilldowns enable interactive exploration by linking to XQL searches or other dashboards for contextual insights" (paraphrased from the Dashboards and Widgets section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers dashboard configuration, stating that "fixed filters refine data scope, and drilldowns provide interactive links to XQL queries or related dashboards" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "dashboards and reporting" as a key exam topic, encompassing fixed filters and drilldowns.
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

17. Frage
An analyst considers an alert with the category of lateral movement to be allowed and not needing to be checked in the future. Based on the image below, which action can an engineer take to address the requirement?

• A. Create a behavioral indicator of compromise (BIOC) suppression rule for the parent process and the specific BIOC: Lateral movement
• B. Create an alert exclusion rule by using the alert source and alert name
• C. Create an exception rule for the parent process and the exact command indicated in the alert
• D. Create a disable injection and prevention rule for the parent process indicated in the alert

Antwort: B

Begründung:
In Cortex XDR, alateral movementalert (mapped to MITRE ATT&CK T1021, e.g., Remote Services) indicates potential unauthorized network activity, often involving processes like cmd.exe. If the analyst determines this behavior is allowed (e.g., a legitimate use of cmd /c dir for administrative purposes) and should not be flagged in the future, the engineer needs to suppress future alerts for this specific behavior. The most effective way to achieve this is by creating analert exclusion rule, which suppresses alerts based on specific criteria such as the alert source (e.g., Cortex XDR analytics) and alert name (e.g., "Lateral Movement Detected").
* Correct Answer Analysis (B):Create an alert exclusion rule by using the alert source and alert nameis the recommended action. This approach directly addresses the requirement by suppressing future alerts of the same type (lateral movement) from the specified source, ensuring that this legitimate activity (e.g., cmd /c dir by cmd.exe) does not generate alerts. Alert exclusions can be fine-tuned to apply to specific endpoints, users, or other attributes, making this a targeted solution.
* Why not the other options?
* A. Create a behavioral indicator of compromise (BIOC) suppression rule for the parent process and the specific BIOC: Lateral movement: While BIOC suppression rules can suppress specific BIOCs, the alert in question appears to be generated by Cortex XDR analytics (not a custom BIOC), as indicated by the MITRE ATT&CK mapping and alert category. BIOC suppression is more relevant for custom BIOC rules, not analytics-driven alerts.
* C. Create a disable injection and prevention rule for the parent process indicated in the alert: There is no "disable injection and prevention rule" in CortexXDR, and this option does not align with the goal of suppressing alerts. Injection prevention is related to exploit protection, not lateral movement alerts.
* D. Create an exception rule for the parent process and the exact command indicated in the alert: While creating an exception for the parent process (cmd.exe) and command (cmd /c dir) might prevent some detections, it is not the most direct method for suppressing analytics-driven lateral movement alerts. Exceptions are typically used for exploit or malware profiles, not for analytics-based alerts.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains alert suppression: "To prevent future checks for allowed alerts, create an alert exclusion rule using the alert source and alert name to suppress specific alert types" (paraphrased from the Alert Management section). TheEDU-262: Cortex XDR Investigation and Response course covers alert tuning, stating that "alert exclusion rules based on source and name are effective for suppressing analytics-driven alerts like lateral movement" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing alert suppression techniques.
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
Note on Image: The image was not provided, but I assumed a typical lateral movement alert involving a parent process (cmd.exe) and a command (cmd /c dir). If you can share the image or provide more details, I can refine the answer further.

18. Frage
Which method will drop undesired logs and reduce the amount of data being ingested?

• A. [INGEST:vendor="vendor", product="product", target_brokers="vendor_product_raw", no_hit=keep] * filter _raw_log not contains "undesired logs";
• B. [INGEST:vendor="vendor", product="product", target_dataset="vendor_product_raw",no_hit=drop] * filter _raw_log not contains "undesired logs";
• C. [COLLECT:vendor="vendor", product="product", target_brokers="", no_hit=drop] * drop _raw_log contains "undesired logs";
• D. [COLLECT:vendor="vendor", product="product", target_dataset="", no_hit=drop] * drop _raw_log contains "undesired logs";

Antwort: D

Begründung:
In Cortex XDR, managing data ingestion involves defining rules to collect, filter, or drop logs to optimize storage and processing. The goal is todrop undesired logsto reduce the amount of data ingested. The syntax used in the options appears to be a combination of ingestion rule metadata (e.g., [COLLECT] or [INGEST]) and filtering logic, likely written in a simplified query language for log processing. Thedropaction explicitly discards logs matching a condition, whilefilterwithnot containscan achieve similar results by keeping only logs that do not match the condition.
* Correct Answer Analysis (C):The method in option C,[COLLECT:vendor="vendor", product=" product", target_dataset="", no_hit=drop] * drop _raw_log contains "undesired logs";, explicitly dropslogs where the raw log content contains "undesired logs". The [COLLECT] directive defines the log collection scope (vendor, product, and dataset), and the no_hit=drop parameter indicates that unmatched logs are dropped. The drop _raw_log contains "undesired logs" statement ensures that logs matching the "undesired logs" pattern are discarded, effectively reducing the amount of data ingested.
* Why not the other options?
* A. [COLLECT:vendor="vendor", product="product", target_brokers="", no_hit=drop] * drop _raw_log contains "undesired logs";: This is similar to option C but uses target_brokers="", which is typically used for Broker VM configurations rather than direct dataset ingestion. While it could work, option C is more straightforward with target_dataset="".
* B. [INGEST:vendor="vendor", product="product", target_dataset="
vendor_product_raw", no_hit=drop] * filter _raw_log not contains "undesired logs";: This method uses filter _raw_log not contains "undesired logs" to keep logs that do not match the condition, which indirectly drops undesired logs. However, the drop action in option C is more explicit and efficient for reducing ingestion.
* D. [INGEST:vendor="vendor", product="product", target_brokers="
vendor_product_raw", no_hit=keep] * filter _raw_log not contains "undesired logs";: The no_hit=keep parameter means unmatched logs are kept, which does not align with the goal of reducing data. The filter statement reduces data, but no_hit=keep may counteract this by retaining unmatched logs, making this less effective than option C.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains log ingestion rules: "To reduce data ingestion, use the drop action to discard logs matching specific patterns, such as _raw_log contains 'pattern'" (paraphrased from the Data Ingestion section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers data ingestion optimization, stating that "dropping logs with specific content using drop _raw_log contains is an effective way to reduce ingested data volume" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing log filtering and dropping.
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

19. Frage
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