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[General] ITExamSimulator: Your Reliable Palo Alto Networks XDR-Engineer Exam Companion

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【General】 ITExamSimulator: Your Reliable Palo Alto Networks XDR-Engineer Exam Companion

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Palo Alto Networks XDR-Engineer Exam Syllabus Topics:
TopicDetails
Topic 1
  • 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 2
  • 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 3
  • 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 4
  • 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.
Topic 5
  • 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.

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Palo Alto Networks XDR Engineer Sample Questions (Q33-Q38):NEW QUESTION # 33
A new parsing rule is created, and during testing and verification, all the logs for which field data is to be parsed out are missing. All the other logs from this data source appear as expected. What may be the cause of this behavior?
  • A. The filter stage is dropping the logs
  • B. The XDR Collector is dropping the logs
  • C. The parsing rule corrupted the database
  • D. The Broker VM is offline
Answer: A
Explanation:
In Cortex XDR,parsing rulesare used to extract and normalize fields from raw log data during ingestion, ensuring that the data is structured for analysis and correlation. The parsing process includes stages such as filtering, parsing, and mapping. If logs for which field data is to be parsed out are missing, while other logs from the same data source are ingested as expected, the issue likely lies within the parsing rule itself, specifically in the filtering stage that determines which logs are processed.
* Correct Answer Analysis (C):The filter stage is dropping the logsis the most likely cause. Parsing rules often include afilter stagethat determines which logs are processed based on specific conditions (e.
g., log content, source, or type). If the filter stage of the new parsing rule is misconfigured (e.g., using an incorrect condition like log_type != expected_type or a regex that doesn't match the logs), it may drop the logs intended for parsing, causing them to be excluded from the ingestion pipeline. Since other logs from the same data source are ingested correctly, the issue is specific to the parsing rule's filter, not a broader ingestion problem.
* Why not the other options?
* A. The Broker VM is offline: If the Broker VM were offline, it would affect all log ingestion from the data source, not just the specific logs targeted by the parsing rule. The question states that other logs from the same data source are ingested as expected, so the Broker VM is likely operational.
* B. The parsing rule corrupted the database: Parsing rules operate on incoming logs during ingestion and do not directly interact with or corrupt the Cortex XDR database. This is an unlikely cause, and database corruption would likely cause broader issues, not just missing specific logs.
* D. The XDR Collector is dropping the logs: The XDR Collector forwards logs to Cortex XDR, and if it were dropping logs, it would likely affect all logs from the data source, not just those targeted by the parsing rule. Since other logs are ingested correctly, the issue is downstream in the parsing rule, not at the collector level.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains parsing rule behavior: "The filter stage in a parsing rule determines which logs are processed; misconfigured filters can drop logs, causing them to be excluded from ingestion" (paraphrased from the Data Ingestion section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers parsing rule troubleshooting, stating that "if specific logs are missing during parsing, check the filter stage for conditions that may be dropping the logs" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing parsing rule configuration and troubleshooting.
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 # 34
Which action is being taken with the query below?
dataset = xdr_data
| fields agent_hostname, _time, _product
| comp latest as latest_time by agent_hostname, _product
| join type=inner (dataset = endpoints
| fields endpoint_name, endpoint_status, endpoint_type) as lookup lookup.endpoint_name = agent_hostname
| filter endpoint_status = ENUM.CONNECTED
| fields agent_hostname, endpoint_status, latest_time, _product
  • A. Checking for endpoints with outdated agent versions
  • B. Monitoring the latest activity of endpoints
  • C. Identifying endpoints that have disconnected from the network
  • D. Monitoring the latest activity of connected firewall endpoints
Answer: B
Explanation:
The providedXQL (XDR Query Language)query in Cortex XDR retrieves and processes data to provide insights into endpoint activity. Let's break down the query to understand its purpose:
* dataset = xdr_data | fields agent_hostname, _time, _product: Selects thexdr_datadataset (general event data) and retrieves fields for the agent hostname, timestamp, and product (e.g., agent type or component).
* comp latest as latest_time by agent_hostname, _product: Computes the latest timestamp (_time) for each combination of agent_hostname and _product, naming the result latest_time. This identifies the most recent activity for each endpoint and product.
* join type=inner (dataset = endpoints | fields endpoint_name, endpoint_status, endpoint_type) as lookup lookup.endpoint_name = agent_hostname: Performs an inner join with theendpointsdataset, matching endpoint_name (from the endpoints dataset) with agent_hostname (from xdr_data), and retrieves fields like endpoint_status and endpoint_type.
* filter endpoint_status = ENUM.CONNECTED: Filters the results to include only endpoints with a status ofCONNECTED.
* fields agent_hostname, endpoint_status, latest_time, _product: Outputs the final fields: hostname, status, latest activity time, and product.
* Correct Answer Analysis (A):The query ismonitoring the latest activity of endpoints. It calculates the most recent activity (latest_time) for each connected endpoint (agent_hostname) by joining event data (xdr_data) with endpoint metadata (endpoints) and filtering for connected endpoints. This provides a view of the latest activity for active endpoints, useful for monitoring their status and recent events.
* Why not the other options?
* B. Identifying endpoints that have disconnected from the network: The queryfilters for endpoint_status = ENUM.CONNECTED, so it only includes connected endpoints, not disconnected ones.
* C. Monitoring the latest activity of connected firewall endpoints: The query does not filter for firewall endpoints (e.g., using endpoint_type or _product to specify firewalls). It applies to all connected endpoints, not just firewalls.
* D. Checking for endpoints with outdated agent versions: The query does not retrieve or compare agent version information (e.g., agent_version field); it focuses on the latest activity time.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains XQL queries: "Queries using comp latest and joins with the endpoints dataset can monitor the latest activity of connected endpoints by calculating the most recent event timestamps" (paraphrased from the XQL Reference Guide). TheEDU-262: Cortex XDR Investigation and Responsecourse covers XQL for monitoring, stating that "combining xdr_data and endpoints datasets with a latest computation monitors recent endpoint activity" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "dashboards and reporting" as a key exam topic, encompassing XQL queries for monitoring.
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 # 35
How long is data kept in the temporary hot storage cache after being queried from cold storage?
  • A. 1 hour, re-queried to a maximum of 24 hours
  • B. 1 hour, re-queried to a maximum of 12 hours
  • C. 24 hours, re-queried to a maximum of 14 days
  • D. 24 hours, re-queried to a maximum of 7 days
Answer: D
Explanation:
In Cortex XDR, data is stored in different tiers:hot storage(for recent, frequently accessed data),cold storage (for older, less frequently accessed data), and atemporary hot storage cachefor data retrieved from cold storage during queries. When data is queried from cold storage, it is moved to the temporary hot storage cache to enable faster access for subsequent queries. The question asks how long this data remains in the cache and the maximum duration for re-queries.
* Correct Answer Analysis (B)ata retrieved from cold storage is kept in the temporary hot storage cache for24 hours. If the data is re-queried within this period, it remains accessible in the cache. The maximum duration for re-queries is7 days, after which the data may need to be retrieved from cold storage again, incurring additional processing time.
* Why not the other options?
* A. 1 hour, re-queried to a maximum of 12 hours: These durations are too short and do not align with Cortex XDR's data retention policies for the hot storage cache.
* C. 24 hours, re-queried to a maximum of 14 days: While the initial 24-hour cache duration is correct, the 14-day maximum for re-queries is too long and not supported by Cortex XDR's documentation.
* D. 1 hour, re-queried to a maximum of 24 hours: The 1-hour initial cache duration is incorrect, as Cortex XDR retains queried data for 24 hours.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains data storage: "Data queried from cold storage is cached in hot storage for 24 hours, with a maximum re-query period of 7 days" (paraphrased from the Data Management section). TheEDU-262: Cortex XDR Investigation and Responsecourse covers data retention, stating that "queried cold storage data remains in the hot cache for 24 hours, accessible for up to 7 days with re-queries" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "maintenance and troubleshooting" as a key exam topic, encompassing data storage 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 # 36
A multinational company with over 300,000 employees has recently deployed Cortex XDR in North America.
The solution includes the Identity Threat Detection and Response (ITDR) add-on, and the Cortex team has onboarded the Cloud Identity Engine to the North American tenant. After waiting the required soak period and deploying enough agents to receive Identity and threat analytics detections, the team does not see user, group, or computer details for individuals from the European offices. What may be the reason for the issue?
  • A. The ITDR add-on is not compatible with the Cloud Identity Engine
  • B. The XDR tenant is not in the same region as the Cloud Identity Engine
  • C. The Cloud Identity Engine plug-in has not been installed and configured
  • D. The Cloud Identity Engine needs to be activated in all global regions
Answer: B
Explanation:
TheIdentity Threat Detection and Response (ITDR)add-on in Cortex XDR enhances identity-based threat detection by integrating with theCloud Identity Engine, which synchronizes user,group, and computer details from identity providers (e.g., Active Directory, Okta). For the Cloud Identity Engine to provide comprehensive identity data across regions, it must be properly configured and aligned with the Cortex XDR tenant's region.
* Correct Answer Analysis (A):The issue is likely thatthe XDR tenant is not in the same region as the Cloud Identity Engine. Cortex XDR tenants are region-specific (e.g., North America, Europe), and the Cloud Identity Engine must be configured to synchronize data with the tenant in the same region. If the North American tenant is used but the European offices' identity data is managed by a Cloud Identity Engine in a different region (e.g., Europe), the tenant may not receive user, group, or computer details for European users, causing the observed issue.
* Why not the other options?
* B. The Cloud Identity Engine plug-in has not been installed and configured: The question states that the Cloud Identity Engine has been onboarded, implying it is installed and configured.
The issue is specific to European office data, not a complete lack of integration.
* C. The Cloud Identity Engine needs to be activated in all global regions: The Cloud Identity Engine does not need to be activated in all regions. It needs to be configured to synchronize with the tenant in the correct region, and regional misalignment is the more likely issue.
* D. The ITDR add-on is not compatible with the Cloud Identity Engine: The ITDR add-on is designed to work with the Cloud Identity Engine, so compatibility is not the issue.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Cloud Identity Engine integration: "The Cloud Identity Engine must be configured in the same region as the Cortex XDR tenant to ensure proper synchronization of user, group, and computer details" (paraphrased from the Cloud Identity Engine section). TheEDU-260:
Cortex XDR Prevention and Deploymentcourse covers ITDR and identity integration, stating that "regional alignment between the tenant and Cloud Identity Engine is critical for accurate identity data" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing Cloud Identity Engine configuration.
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 # 37
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. pyxd
  • B. pmd
  • C. dypdng
  • D. clad
Answer: B
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 # 38
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