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Palo Alto Networks XDR-Engineer Exam Syllabus Topics:

Topic
Details

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

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

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 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 (Q28-Q33):

NEW QUESTION # 28
During the deployment of a Broker VM in a high availability (HA) environment, after configuring the Broker VM FQDN, an XDR engineer must ensure agent installer availability and efficient content caching to maintain performance consistency across failovers. Which additionalconfiguration steps should the engineer take?

A. Deploy a load balancer and configure SSL termination at the load balancer
B. Upload the-signed SSL server certificate and key and deploy a load balancer
C. Enable synchronized session persistence across Broker VMs and use a self-signed certificate and key
D. Use shared SSL certificates and keys for all Broker VMs and configure a single IP address for failover

Answer: B

Explanation:
In a high availability (HA) environment, theBroker VMin Cortex XDR acts as a local proxy to facilitate agent communications, content caching, and installer distribution, reducing dependency on direct cloud connections. To ensureagent installer availabilityandefficient content cachingacross failovers, the Broker VM must be configured to handle agent requests consistently, even if one VM fails. This requires proper SSL certificate management and load balancing to distribute traffic across multiple Broker VMs.
* Correct Answer Analysis (B):The engineer shouldupload the signed SSL server certificate and key to each Broker VM to secure communications and ensure trust between agents and the Broker VMs.
Additionally, deploying aload balancerin front of the Broker VMs allows traffic to be distributed across multiple VMs, ensuring availability and performance consistency during failovers. The load balancer uses the configured Broker VM FQDN to route agent requests, and the signed SSL certificate ensures secure, uninterrupted communication. This setup supports content caching and installer distribution by maintaining a stable connection point for agents.
* Why not the other options?
* A. Use shared SSL certificates and keys for all Broker VMs and configure a single IP address for failover: While shared SSL certificates can be used, configuring a single IP address for failover (e.g., via VRRP or a floating IP) is less flexible than a load balancer and may not efficiently handle content caching or installer distribution across multiple VMs. Load balancers are preferred for HA setups in Cortex XDR.
* C. Deploy a load balancer and configure SSL termination at the load balancer: SSL termination at the load balancer means the load balancer decrypts traffic before forwarding it to the Broker VMs, requiring unencrypted communication between the load balancer and VMs. This is not recommended for Cortex XDR, as Broker VMs require end-to-end SSL encryption for security, and SSL termination complicates certificate management.
* D. Enable synchronized session persistence across Broker VMs and use a self-signed certificate and key: Self-signed certificates are not recommended for production HA environments, as they can cause trust issues with agents and require manual configuration.
Synchronized session persistence is not a standard feature for Broker VMs and is unnecessary for content caching or installer availability.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes Broker VM HA configuration: "For high availability, deploy multiple Broker VMs behind a load balancer and upload a signed SSL server certificate and key to each VM to secure agent communications" (paraphrased from the Broker VM Deployment section). TheEDU-
260: Cortex XDR Prevention and Deploymentcourse covers Broker VM setup, stating that "a load balancer with signed SSL certificates ensures agent installer availability and content caching in HA environments" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes
"planning and installation" as a key exam topic, encompassing Broker VM deployment for HA.
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 # 29
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. Identifying endpoints that have disconnected from the network
B. Monitoring the latest activity of connected firewall endpoints
C. Monitoring the latest activity of endpoints
D. Checking for endpoints with outdated agent versions

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 # 30
A static endpoint group is created by adding 321 endpoints using the Upload From File feature. However, after group creation, the members count field shows 244 endpoints. What are two possible reasons why endpoints were not added to the group? (Choose two.)

A. Static groups have a limit of 250 endpoints when adding by file
B. Endpoints added to the group were in Disconnected or Connection Lost status when groupmembership was added
C. The IP address, hostname, or alias of the endpoints must match an existing agent that has registered with the tenant
D. Endpoints added to the new group were previously added to an existing group

Answer: B,C

Explanation:
In Cortex XDR,static endpoint groupsare manually defined groups of endpoints, often created by uploading a file containing endpoint identifiers (e.g., IP addresses, hostnames, or aliases) using theUpload From File feature. If fewer endpoints are added to the group than expected (e.g., 244 instead of 321), there are several possible reasons related to endpoint status or registration.
* Correct Answer Analysis (C, D):
* **C. Endpoints added to the group were in Disconnected or Connection Lost status when group status when group membership was added: If endpoints are in aDisconnectedorConnection Loststatus (i.e., not actively communicating with the Cortex XDR tenant), they may not be successfully added to the group, as Cortex XDR requires active registration to validate and process group membership.
* D. The IP address, hostname, or alias of the endpoints must match an existing agent that has registered with the tenant: For endpoints to be added to a static group, their identifiers (IP address, hostname, or alias) in the uploaded file must correspond to agents that are registered with the Cortex XDR tenant. If the identifiers do not match registered agents, those endpoints will not be added to the group.
* Why not the other options?
* A. Static groups have a limit of 250 endpoints when adding by file: There is no documented limit of 250 endpoints for static groups in Cortex XDR when using the Upload From File feature.
The platform supports large numbers of endpoints in groups, and this is not a valid reason.
* B. Endpoints added to the new group were previously added to an existing group: In Cortex XDR, endpoints are assigned to a single group for policy application to avoid conflicts, but this does not prevent endpoints from being added to a new static group during creation. The issue lies in registration or connectivity, not prior group membership.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains endpoint group management: "Endpoints must be registered and actively connected to the tenant to be added to static groups. Unregistered or disconnected endpoints may not be included in the group" (paraphrased from the Endpoint Management section). TheEDU-
260: Cortex XDR Prevention and Deploymentcourse covers group creation, stating that "static groups require valid, registered endpoint identifiers, and disconnected endpoints may not be added" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "Cortex XDR agent configuration" as a key exam topic, encompassing endpoint group 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 # 31
What is the earliest time frame an alert could be automatically generated once the conditions of a new correlation rule are met?

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

Answer: B

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 # 32
Which method will drop undesired logs and reduce the amount of data being ingested?

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

Answer: A

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 # 33
......

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