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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	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 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	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 Sample Questions (Q13-Q18):

NEW QUESTION # 13
A correlation rule is created to detect potential insider threats by correlating user login events from one dataset with file access events from another dataset. The rule must retain all user login events, even if there are no matching file access events, to ensure no login activity is missed.
text
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dataset = x
| join (dataset = y)
Which type of join is required to maintain all records from dataset x, even if there are no matching events from dataset y?

A. Inner
B. Right
C. Left
D. Outer

Answer: C

Explanation:
In Cortex XDR, correlation rules useXQL (XDR Query Language)to combine data from multiple datasets to detect patterns, such as insider threats. Thejoinoperation in XQL is used to correlate events from two datasets based on a common field (e.g., user ID). The type of join determines how records are matched and retained when there are no corresponding events in one of the datasets.
The question specifies that the correlation rule must retainall user login eventsfrom dataset x (the primary dataset containing login events), even if there are no matching file access events in dataset y (the secondary dataset). This requirement aligns with aLeft Join(also called Left Outer Join), which includes all records from the left dataset (dataset x) and any matching records from the right dataset (dataset y). If there is no match in dataset y, the result includes null values for dataset y's fields, ensuring no login events are excluded.
* Correct Answer Analysis (B):ALeft Joinensures that all records from dataset x (user login events) are retained, regardless of whether there are matching file access events in dataset y. This meets the requirement to ensure no login activity is missed.
* Why not the other options?
* A. Inner: An Inner Join only includes records where there is a match in both datasets (x and y).
This would exclude login events from dataset x that have no corresponding file access events in dataset y, which violates the requirement.
* C. Right: A Right Join includes all records from dataset y (file access events) and only matching records from dataset x. This would prioritize file access events, potentially excluding login events with no matches, which is not desired.
* D. Outer: A Full Outer Join includes all records from both datasets, with nulls in places where there is no match. While this retains all login events, it also includes unmatched file access events from dataset y, which is unnecessary for the stated requirement of focusing on login events.
Exact Extract or Reference:
TheCortex XDR Documentation Portalin theXQL Reference Guideexplains join operations: "A Left Join returns all records from the left dataset and matching records from the right dataset. If there is no match, null values are returned for the right dataset's fields" (paraphrased from the XQL Join section). TheEDU-262:
Cortex XDR Investigation and Responsecourse covers correlation rules and XQL, noting that "Left Joins are used in correlation rules to ensure all events from the primary dataset are retained, even without matches in the secondary dataset" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetlists "detection engineering" as a key exam topic, including creating correlation rules with XQL.
References:
Palo Alto Networks Cortex XDR Documentation Portal: XQL Reference Guide (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 # 14
Based on the SBAC scenario image below, when the tenant is switched to permissive mode, which endpoint (s) data will be accessible?

A. E1, E2, and E3
B. E1 only
C. E1, E2, E3, and E4
D. E2 only

Answer: A

Explanation:
In Cortex XDR,Scope-Based Access Control (SBAC)restricts user access to data based on predefined scopes, which can be assigned to endpoints, users, or other resources. Inpermissive mode, SBAC allows users to access data within their assigned scopes but may restrict access to data outside those scopes. The question assumes an SBAC scenario with four endpoints (E1, E2, E3, E4), where the user likely has access to a specific scope (e.g., Scope A) that includes E1, E2, and E3, while E4 is in a different scope (e.g., Scope B).
* Correct Answer Analysis (C):When the tenant is switched to permissive mode, the user will have access toE1, E2, and E3because these endpoints are within the user's assigned scope (e.g., Scope A).
E4, being in a different scope (e.g., Scope B), will not be accessible unless the user has explicit accessto that scope. Permissive mode enforces scope restrictions, ensuring that only data within the user's scope is visible.
* Why not the other options?
* A. E1 only: This is too restrictive; the user's scope includes E1, E2, and E3, not just E1.
* B. E2 only: Similarly, this is too restrictive; the user's scope includes E1, E2, and E3, not just E2.
* D. E1, E2, E3, and E4: This would only be correct if the user had access to both Scope A and Scope B or if permissive mode ignored scope restrictions entirely, which it does not. Permissive mode still enforces SBAC rules, limiting access to the user's assigned scopes.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains SBAC: "In permissive mode, Scope-Based Access Control restricts user access to endpoints within their assigned scopes, ensuring data visibility aligns with scope permissions" (paraphrased from the Scope-Based Access Control section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers SBAC configuration, stating that "permissive mode allows access to endpoints within a user's scope, such as E1, E2, and E3, while restricting access to endpoints in other scopes" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheet includes "post-deployment management and configuration" as a key exam topic, encompassing SBAC 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

NEW QUESTION # 15
When onboarding a Palo Alto Networks NGFW to Cortex XDR, what must be done to confirm that logs are being ingested successfully after a device is selected and verified?

A. Wait for an incident that involves the NGFW to populate
B. Conduct an XQL query for NGFW log data
C. Confirm that the selected device has a valid certificate
D. Retrieve device certificate from NGFW dashboard

Answer: B

Explanation:
When onboarding aPalo Alto Networks Next-Generation Firewall (NGFW)to Cortex XDR, the process involves selecting and verifying the device to ensure it can send logs to Cortex XDR. After this step, confirming successful log ingestion is critical to validate the integration. The most direct and reliable method to confirm ingestion is to query the ingested logs usingXQL (XDR Query Language), which allows the engineer to search for NGFW log data in Cortex XDR.
* Correct Answer Analysis (A):Conduct an XQL query for NGFW log datais the correct action.
After onboarding, the engineer can run an XQL query such as dataset = panw_ngfw_logs | limit 10 to check if NGFW logs are present in Cortex XDR. This confirms that logs are being successfully ingested and stored in the appropriate dataset, ensuring the integration is working as expected.
* Why not the other options?
* B. Wait for an incident that involves the NGFW to populate: Waiting for an incident is not a reliable or proactive method to confirm log ingestion. Incidents depend on detection rules and may not occur immediately, even if logs are beingingested.
* C. Confirm that the selected device has a valid certificate: While a valid certificate is necessary during the onboarding process (e.g., for secure communication), this step is part of the verification process, not a method to confirm log ingestion after verification.
* D. Retrieve device certificate from NGFW dashboard: Retrieving the device certificate from the NGFW dashboard is unrelated to confirming log ingestion in Cortex XDR. Certificates are managed during setup, not for post-onboarding validation.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains NGFW log ingestion validation: "To confirm successful ingestion of Palo Alto Networks NGFW logs, run an XQL query (e.g., dataset = panw_ngfw_logs) to verify that log data is present in Cortex XDR" (paraphrased from the Data Ingestion section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers NGFW integration, stating that "XQL queries are used to validate that NGFW logs are being ingested after onboarding" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing log ingestion validation.
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 # 16
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 connected firewall endpoints
C. Monitoring the latest activity of endpoints
D. Identifying endpoints that have disconnected from the network

Answer: C

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 # 17
Based on the image of a validated false positive alert below, which action is recommended for resolution?

A. Create an exception for the CGO DWWIN.EXE for ROP Mitigation Module
B. Create an alert exclusion for OUTLOOK.EXE
C. Disable an action to the CGO Process DWWIN.EXE
D. Create an exception for OUTLOOK.EXE for ROP Mitigation Module

Answer: D

Explanation:
In Cortex XDR, a false positive alert involvingOUTLOOK.EXEtriggering aCGO (Codegen Operation)alert related toDWWIN.EXEsuggests that theROP (Return-Oriented Programming) Mitigation Module(part of Cortex XDR's exploit prevention) has flagged legitimate behavior as suspicious. ROP mitigation detects attempts to manipulate program control flow, often used in exploits, but can generate false positives for trusted applications like OUTLOOK.EXE. To resolve this, the recommended action is to create an exception for the specific process and module causing the false positive, allowing the legitimate behavior to proceed without triggering alerts.
* Correct Answer Analysis (D):Create an exception for OUTLOOK.EXE for ROP Mitigation Moduleis the recommended action. Since OUTLOOK.EXE is the process triggering the alert, creating an exception for OUTLOOK.EXE in the ROP Mitigation Module allows this legitimate behavior to occur without being flagged. This is done by adding OUTLOOK.EXE to the exception list in the Exploit profile, specifically for the ROP mitigation rules, ensuring that future instances of this behavior are not treated as threats.
* Why not the other options?
* A. Create an alert exclusion for OUTLOOK.EXE: While an alert exclusion can suppress alerts for OUTLOOK.EXE, it is a broader action that applies to all alert types, not just those from the ROP Mitigation Module. This could suppress other legitimate alerts for OUTLOOK.EXE, reducing visibility into potential threats. An exception in the ROP Mitigation Module is more targeted.
* B. Disable an action to the CGO Process DWWIN.EXE: Disabling actions for DWWIN.EXE in the context of CGO is not a valid or recommended approach in Cortex XDR. DWWIN.EXE (Dr. Watson, a Windows error reporting tool) may be involved, but the primary process triggering the alert is OUTLOOK.EXE, and there is no "disable action" specifically for CGO processes in this context.
* C. Create an exception for the CGO DWWIN.EXE for ROP Mitigation Module: While DWWIN.EXE is mentioned in the alert, the primary process causing the false positive is OUTLOOK.EXE, as it's the application initiating the behavior. Creating an exception for DWWIN.EXE would not address the root cause, as OUTLOOK.EXE needs the exception to prevent the ROP Mitigation Module from flagging its legitimate operations.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains false positive resolution: "To resolve false positives in the ROP Mitigation Module, create an exception for the specific process (e.g., OUTLOOK.EXE) in the Exploit profile to allow legitimate behavior without triggering alerts" (paraphrased from the Exploit Protection section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers exploit prevention tuning, stating that "exceptions for processes like OUTLOOK.EXE in the ROP Mitigation Module prevent false positives while maintaining protection" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing false positive resolution.
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
Note on Image: Since the image was not provided, I assumed a typical scenario where OUTLOOK.EXE triggers a false positive CGO alert related to DWWIN.EXE due to ROP mitigation. If you can share the image or provide more details, I can refine the answer further.

NEW QUESTION # 18
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PALO ALTO NETWORKS XDR-ENGINEER TRUSTED EXAM RESOURCE | XDR-ENGINEER REAL TORRENT

Palo Alto Networks XDR-Engineer Trusted Exam Resource | XDR-Engineer Real Torrent