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Palo Alto Networks XDR-Engineer Exam Syllabus Topics:

Topic
Details

Topic 1

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 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

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 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

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.

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Palo Alto Networks XDR Engineer Sample Questions (Q39-Q44):

NEW QUESTION # 39
Which configuration profile option with an available built-in template can be applied to both Windows and Linux systems by using XDR Collector?

A. XDR Collector settings
B. Filebeat
C. HTTP Collector template
D. Winlogbeat

Answer: B

Explanation:
TheXDR Collectorin Cortex XDR is a lightweight tool for collecting logs and events from servers and endpoints, including Windows and Linux systems, and forwarding them to the Cortex XDR cloud for analysis. To simplify configuration, Cortex XDR provides built-in templates for various log collection methods. The question asks for a configuration profile option with a built-in template that can be applied to both Windows and Linux systems.
* Correct Answer Analysis (A):Filebeatis a versatile log shipper supported by Cortex XDR's XDR Collector, with built-in templates for collecting logs from files on both Windows and Linux systems.
Filebeat can be configured to collect logs from various sources (e.g., application logs, system logs) and is platform-agnostic, making it suitable for heterogeneous environments. Cortex XDR provides preconfigured Filebeat templates to streamline setup for common log types, ensuring compatibility across operating systems.
* Why not the other options?
* B. HTTP Collector template: The HTTP Collector template is used for ingestingdata via HTTP
/HTTPS APIs, which is not specific to Windows or Linux systems and is not a platform-based log collection method. It is also less commonly used for system-level log collection compared to Filebeat.
* C. XDR Collector settings: While "XDR Collector settings" refers to the general configuration of the XDR Collector, it is not a specific template. The XDR Collector uses templates like Filebeat or Winlogbeat for actual log collection, so this option is too vague.
* D. Winlogbeat: Winlogbeat is a log shipper specifically designed for collecting Windows Event Logs. It is not supported on Linux systems, making it unsuitable for both platforms.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes XDR Collector templates: "Filebeat templates are provided for collecting logs from files on both Windows and Linux systems, enabling flexible log ingestion across platforms" (paraphrased from the Data Ingestion section). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers XDR Collector configuration, stating that "Filebeat is a cross-platform solution for log collection, supported by built-in templates for Windows and Linux" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "data ingestion and integration" as a key exam topic, encompassing XDR Collector templates.
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 # 40
A query is created that will run weekly via API. After it is tested and ready, it is reviewed in the Query Center. Which available column should be checked to determine how many compute units will be used when the query is run?

A. Compute Unit Usage
B. Query Status
C. Simulated Compute Units
D. Compute Unit Quota

Answer: A

Explanation:
In Cortex XDR, theQuery Centerallows administrators to manage and reviewXQL (XDR Query Language) queries, including those scheduled to run via API. Each query consumescompute units, a measure of the computational resources required to execute the query. To determine how many compute units a query will use, theCompute Unit Usagecolumn in the Query Center provides the actual or estimated resource consumption based on the query's execution history or configuration.
* Correct Answer Analysis (B):TheCompute Unit Usagecolumn in the Query Center displays the number of compute units consumed by a query when it runs. For a tested and ready query, this column provides the most accurate information on resource usage, helping administrators plan for API-based executions.
* Why not the other options?
* A. Query Status: The Query Status column indicates whether the query ran successfully, failed, or is pending, but it does not provide information on compute unit consumption.
* C. Simulated Compute Units: While some systems may offer simulated estimates, Cortex XDR' s Query Center does not have a "Simulated Compute Units" column. The actual usage is tracked in Compute Unit Usage.
* D. Compute Unit Quota: The Compute Unit Quota refers to the total available compute units for the tenant, not the specific usage of an individual query.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains Query Center functionality: "The Compute Unit Usage column in the Query Center shows the compute units consumed by a query, enabling administrators to assess resource usage for scheduled or API-based queries" (paraphrased from the Query Center section). TheEDU-
262: Cortex XDR Investigation and Responsecourse covers query management, stating that "Compute Unit Usage provides details on the resources used by each query in the Query Center" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "maintenance and troubleshooting" as a key exam topic, encompassing query resource 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 # 41
A cloud administrator reports high network bandwidth costs attributed to Cortex XDR operations and asks for bandwidth usage to be optimized without compromising agent functionality. Which two techniques should the engineer implement? (Choose two.)

A. Enable minor content version updates
B. Configure P2P download sources for agent upgrades and content updates
C. Enable agent content management bandwidth control
D. Deploy a Broker VM and activate the local agent settings applet

Answer: B,C

Explanation:
Cortex XDR agents communicate with the cloud for tasks like receiving content updates, agent upgrades, and sending telemetry data, which can consume significant network bandwidth. To optimize bandwidth usage without compromising agent functionality, the engineer should implement techniques that reduce network traffic while maintaining full detection, prevention, and response capabilities.
* Correct Answer Analysis (A, C):
* A. Configure P2P download sources for agent upgrades and content updates: Peer-to-Peer (P2P) download sources allow Cortex XDR agents to share content updates and agent upgrades with other agents on the same network, reducing the need for each agent to download data directly from the cloud. This significantly lowers bandwidth usage, especially in environments with many endpoints.
* C. Enable agent content management bandwidth control: Cortex XDR provides bandwidth control settings in theContent Managementconfiguration, allowing administrators to limit the bandwidth used for content updates and agent communications. This feature throttles data transfers to minimize network impact while ensuring updates are still delivered.
* Why not the other options?
* B. Enable minor content version updates: Enabling minor content version updates ensures agents receive incremental updates, but this alone does not significantly optimize bandwidth, as it does not address the volume or frequency of data transfers. It is a standard practice but not a primary bandwidth optimization technique.
* D. Deploy a Broker VM and activate the local agent settings applet: A Broker VM can act as a local proxy for agent communications, potentially reducing cloud traffic, but thelocal agent settings appletis used for configuring agent settings locally, not for bandwidth optimization.
Additionally, deploying a Broker VM requires significant setup and may not directly address bandwidth for content updates or upgrades compared to P2P or bandwidth control.
Exact Extract or Reference:
TheCortex XDR Documentation Portaldescribes bandwidth optimization: "P2P download sources enable agents to share content updates and upgrades locally, reducing cloud bandwidth usage" and "Content Management bandwidth control allows administrators to limit the network impact of agent updates" (paraphrased from the Agent Management and Content Updates sections). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers post-deployment optimization, stating that "P2P downloads and bandwidth control settings are key techniques for minimizing network usage" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "post-deployment management and configuration" as a key exam topic, encompassing bandwidth optimization.
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 # 42
What will enable a custom prevention rule to block specific behavior?

A. A custom behavioral indicator of compromise (BIOC) added to an Exploit profile
B. A custom behavioral indicator of compromise (BIOC) added to a Restriction profile
C. A correlation rule added to a Malware profile
D. A correlation rule added to an Agent Blocking profile

Answer: B

Explanation:
In Cortex XDR,custom prevention rulesare used to block specific behaviors or activities on endpoints by leveragingBehavioral Indicators of Compromise (BIOCs). BIOCs define patterns of behavior (e.g., specific process executions, file modifications, or network activities) that, when detected, can trigger preventive actions, such as blocking a process or isolating an endpoint. These BIOCs are typically associated with a Restriction profile, which enforces blocking actions for matched behaviors.
* Correct Answer Analysis (C):Acustom behavioral indicator of compromise (BIOC)added to a Restriction profileenables a custom prevention rule to block specific behavior. The BIOC defines the behavior to detect (e.g., a process accessing a sensitive file), and the Restriction profile specifies the preventive action (e.g., block the process). This configuration ensures that the identified behavior is blocked on endpoints where the profile is applied.
* Why not the other options?
* A. A correlation rule added to an Agent Blocking profile: Correlation rules are used to generate alerts by correlating events across datasets, not to block behaviors directly. There is no
"Agent Blocking profile" in Cortex XDR; this is a misnomer.
* B. A custom behavioral indicator of compromise (BIOC) added to an Exploit profile:
Exploit profiles are used to detect and prevent exploit-based attacks (e.g., memory corruption), not general behavioral patterns defined by BIOCs. BIOCs are associated with Restriction profiles for blocking behaviors.
* D. A correlation rule added to a Malware profile: Correlation rules do not directly block behaviors; they generate alerts. Malware profiles focus on file-based threats (e.g., executables analyzed by WildFire), not behavioral blocking via BIOCs.
Exact Extract or Reference:
TheCortex XDR Documentation Portalexplains BIOC and Restriction profiles: "Custom BIOCs can be added to Restriction profiles to block specific behaviors on endpoints, enabling tailored prevention rules" (paraphrased from the BIOC and Restriction Profile sections). TheEDU-260: Cortex XDR Prevention and Deploymentcourse covers prevention rules, stating that "BIOCs in Restriction profiles enable blocking of specific endpoint behaviors" (paraphrased from course materials). ThePalo Alto Networks Certified XDR Engineer datasheetincludes "detection engineering" as a key exam topic, encompassing BIOC and prevention rule 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 # 43
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. [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: 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 # 44
......

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