100% PASS QUIZ 2025 XDR-ENGINEER: NEWEST VALID PALO ALTO NETWORKS XDR ENGINEER MOCK EXAM

100% Pass Quiz 2025 XDR-Engineer: Newest Valid Palo Alto Networks XDR Engineer Mock Exam

100% Pass Quiz 2025 XDR-Engineer: Newest Valid Palo Alto Networks XDR Engineer Mock Exam

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Palo Alto Networks XDR Engineer Sample Questions (Q49-Q54):

NEW QUESTION # 49
Multiple remote desktop users complain of in-house applications no longer working. The team uses macOS with Cortex XDR agents version 8.7.0, and the applications were previously allowed by disable prevention rules attached to the Exceptions Profile "Engineer-Mac." Based on the images below, what is a reason for this behavior?

  • A. Installation type changed from VDI to Kubernetes
  • B. The Cloud Identity Engine is disconnected or removed
  • C. Endpoint IP address changed from 192.168.0.0 range to 192.168.100.0 range
  • D. XDR agent version was downgraded from 8.7.0 to 8.4.0

Answer: C

Explanation:
The scenario involves macOS users with Cortex XDR agents (version 8.7.0) who can no longer run in-house applications that were previously allowed via disable prevention rules in the"Engineer-Mac" Exceptions Profile. This profile is applied to an endpoint group (e.g., "Mac-Engineers"). Theissue likely stems from a change in the endpoint group's configuration or the endpoints' attributes, affecting policy application.
* Correct Answer Analysis (A):The reason for the behavior is that theendpoint IP address changed from 192.168.0.0 range to 192.168.100.0 range. In Cortex XDR, endpoint groups can be defined using dynamic criteria, such as IP address ranges, to apply specific policies like the "Engineer-Mac" Exceptions Profile. If the group "Mac-Engineers" was defined to include endpoints in the 192.168.0.0 range, and the remote desktop users' IP addresses changed to the 192.168.100.0 range (e.g., due to a network change or VPN reconfiguration), these endpoints would no longer belong to the "Mac- Engineers" group. As a result, the "Engineer-Mac" Exceptions Profile, which allowed the in-house applications, would no longer apply, causing the applications to be blocked by default prevention rules.
* Why not the other options?
* B. The Cloud Identity Engine is disconnected or removed: The Cloud Identity Engine provides user and group data for identity-based policies, but it is not directly related to Exceptions Profiles or application execution rules. Its disconnection would not affect the application of the "Engineer-Mac" profile.
* C. XDR agent version was downgraded from 8.7.0 to 8.4.0: The question states the users are using version 8.7.0, and there's no indication of a downgrade. Even if a downgrade occurred, it's unlikely to affect the application of an Exceptions Profile unless specific features were removed, which is not indicated.
* D. Installation type changed from VDI to Kubernetes: The installation type (e.g., VDI for virtual desktops or Kubernetes for containerized environments) is unrelated to macOS endpoints running remote desktop sessions. This change would not impact the application of the Exceptions Profile.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains endpoint group policies: "Dynamic endpoint groups based on IP address ranges apply policies like Exceptions Profiles; if an endpoint's IP changes to a different range, it may no longer belong to the group, affecting policy enforcement" (paraphrased from the Endpoint Management section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers policy application, stating that "changes in IP address ranges can cause endpoints to fall out of a group, leading to unexpected policy behavior like blocking previously allowed applications" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "Cortex XDR agent configuration" as a key exam topic, encompassing endpoint group and policy management.
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 # 50
A Custom Prevention rule that was determined to be a false positive alert needs to be tuned. The behavior was determined to be authorized and expected on the affected endpoint. Based on the image below, which two steps could be taken? (Choose two.)
[Image description: A Custom Prevention rule configuration, assumed to trigger a Behavioral Indicator of Compromise (BIOC) alert for authorized behavior]

  • A. Apply an alert exclusion to the XDR behavioral indicator of compromise (BIOC) alert
  • B. Modify the behavioral indicator of compromise (BIOC) logic
  • C. Apply an alert exception
  • D. Apply an alert exclusion to the XDR agent alert

Answer: A,C

Explanation:
In Cortex XDR, aCustom Prevention ruleoften leveragesBehavioral Indicators of Compromise (BIOCs)to detect specific patterns or behaviors on endpoints. When a rule generates a false positive alert for authorized and expected behavior, tuning is required to prevent future false alerts. The question assumes the alert is related to a BIOC triggered by the Custom Prevention rule, and the goal is to suppress or refine the alert without disrupting security.
* Correct Answer Analysis (A, B):
* A. Apply an alert exception: Analert exceptioncan be created in Cortex XDR to suppress alerts for specific conditions, such as a particular endpoint, user, or behavior. This is a quick way to prevent false positive alerts for authorized behavior without modifying the underlying rule, ensuring the behavior is ignored in future detections.
* B. Apply an alert exclusion to the XDR behavioral indicator of compromise (BIOC) alert:
Analert exclusionspecifically targets BIOC alerts, allowing administrators to exclude certain BIOCs from triggering alerts on specific endpoints or under specific conditions. This is an effective way to tune the Custom Prevention rule by suppressing the BIOC alert for the authorized behavior.
* Why not the other options?
* C. Apply an alert exclusion to the XDR agent alert: This option is incorrect because alert exclusions are applied to BIOCs or specific alert types, not to generic"XDR agent alerts." The term "XDR agent alert" is not a standard concept in Cortex XDR for exclusions, making this option invalid.
* D. Modify the behavioral indicator of compromise (BIOC) logic: While modifying the BIOC logic could prevent false positives, it risks altering the rule's effectiveness for other endpoints or scenarios. Since the behavior is authorized only on the affected endpoint, modifying the BIOC logic is less targeted than applying an exception or exclusion and is not one of the best steps in this context.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains alert tuning: "Alert exceptions suppress alerts for specific conditions, such as authorized behaviors, without modifying rules. Alert exclusions can be applied to BIOC alerts to prevent false positives on specific endpoints" (paraphrased from the Alert Management section). The EDU-262: Cortex XDR Investigation and Responsecourse covers alert tuning, stating that "exceptions and BIOC exclusions are used to handle false positives for authorized behaviors" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing alert tuning and BIOC 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 # 51
During deployment of Cortex XDR for Linux Agents, the security engineering team is asked to implement memory monitoring for agent health monitoring. Which agent service should be monitored to fulfill this request?

  • A. clad
  • B. pyxd
  • C. pmd
  • D. dypdng

Answer: C

Explanation:
Cortex XDR agents on Linux consist of several services that handle different aspects of agent functionality, such as event collection, policy enforcement, and health monitoring.Memory monitoringfor agent health involves tracking the memory usage of the agent's core processes to ensure they are operating within acceptable limits, which is critical for maintaining agent stability and performance. Thepmd(Process Monitoring Daemon) service is responsible for monitoring the agent's health, including memory usage, on Linux systems.
* Correct Answer Analysis (D):Thepmdservice should be monitored to fulfill the request for memory monitoring. The Process Monitoring Daemon tracks the Cortex XDR agent's resource usage, including memory consumption, and reports health metrics to the console. Monitoring this service ensures the agent remains healthy and can detect issues like memory leaks or excessive resource usage.
* Why not the other options?
* A. dypdng: This is not a valid Cortex XDR service on Linux. It appears to be a typo or a misnamed service.
* B. clad: The clad service (Cortex Linux Agent Daemon) is responsible for core agent operations, such as communication with the Cortex XDR tenant, but it is not specifically focused on memory monitoring for health purposes.
* C. pyxd: The pyxd service handles Python-based components of the agent, such asscript execution for certain detections, but it is not responsible for memory monitoring or agent health.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Linux agent services: "The pmd (Process Monitoring Daemon) service on Linux monitors agent health, including memory usage, to ensure stable operation" (paraphrased from the Linux Agent Deployment section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers Linux agent setup, stating that "pmd is the service to monitor for agent health, including memory usage, on Linux systems" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "planning and installation" as a key exam topic, encompassing Linux agent deployment and monitoring.
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 # 52
What is the earliest time frame an alert could be automatically generated once the conditions of a new correlation rule are met?

  • A. Immediately
  • B. Between 10 and 20 minutes
  • C. Between 30 and 45 minutes
  • D. 5 minutes or less

Answer: D

Explanation:
In Cortex XDR,correlation rulesare used to detect specific patterns or behaviors by analyzing ingested data and generating alerts when conditions are met. The time frame for alert generation depends on the data ingestion pipeline, the processing latency of the Cortex XDR backend, and the rule's evaluation frequency.
For a new correlation rule, once the conditions are met (i.e., the relevant events are ingested and processed), Cortex XDR typically generates alerts within a short time frame, often5 minutes or less, due to its near-real- time processing capabilities.
* Correct Answer Analysis (C):Theearliest time framefor an alert to be generated is5 minutes or less, as Cortex XDR's architecture is designed to process and correlate events quickly. This accounts for the time to ingest data, evaluate the correlation rule, and generate the alert in the system.
* Why not the other options?
* A. Between 30 and 45 minutes: This time frame is too long for Cortex XDR's near-real-time detection capabilities. Such delays might occur in systems with significant processing backlogs, but not in a properly configured Cortex XDR environment.
* B. Immediately: While Cortex XDR is fast, "immediately" implies zero latency, which is not realistic due to data ingestion, processing, and rule evaluation steps. A small delay (within 5 minutes) is expected.
* D. Between 10 and 20 minutes: This is also too long for the earliest possible alert generation in Cortex XDR, as the system is optimized for rapid detection and alerting.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains correlation rule processing: "Alerts are generated within 5 minutes or less after the conditions of a correlation rule are met, assuming data is ingested and processed in near real-time" (paraphrased from the Correlation Rules section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers detection engineering, stating that "Cortex XDR's correlation engine processes rules and generates alerts typically within a few minutes of event ingestion" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing correlation rule alert generation.
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 # 53
Which method will drop undesired logs and reduce the amount of data being ingested?

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

Answer: B

Explanation:
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


NEW QUESTION # 54
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