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The Palo Alto Networks XDR-Engineer certification exam offers a great opportunity to advance your career. With the Palo Alto Networks XDR Engineer certification exam beginners and experienced professionals can demonstrate their expertise and knowledge. After passing the Palo Alto Networks XDR Engineer (XDR-Engineer) exam you can stand out in a crowded job market. The Palo Alto Networks XDR Engineer (XDR-Engineer) certification exam shows that you have taken the time and effort to learn the necessary skills and have met the standards in the market.

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	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 3	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 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	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 (Q60-Q65):

NEW QUESTION # 60
An XDR engineer is configuring an automation playbook to respond to high-severity malware alerts by automatically isolating the affected endpoint and notifying the security team via email.
The playbook should only trigger for alerts generated by the Cortex XDR analytics engine, not custom BIOCs. Which two conditions should the engineer include in the playbook trigger to meet these requirements? (Choose two.)

A. Alert status is New
B. Alert severity is High
C. Alert category is Malware
D. Alert source is Cortex XDR Analytics

Answer: B,D

NEW QUESTION # 61
Which method will drop undesired logs and reduce the amount of data being ingested?

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

Answer: D

Explanation:
In Palo Alto Networks Cortex XDR/XSIAM, parsing rules use a specialized variant of XQL to process, normalize, and selectively filter incoming raw logs before they consume storage licenses in the cloud data lake.
The Core Block Structure: Custom parsing rules must utilize the INGEST declaration block to route log traffic into an active repository (specified via target_dataset). The COLLECT block (seen in options A and C) is structurally incorrect for this parsing workflow.
The Filtering Mechanism: The statement filter _raw_log not contains "undesired logs"; evaluates incoming logs and keeps only the lines that do not match your noisy or unnecessary signatures.
Handling Dropped Traffic via no_hit: The parameter no_hit=drop is the critical setting here. It specifies that any log lines that are completely filtered out or fail to match the parsing logic conditions should be permanently dropped at the ingestion stage, successfully preventing them from being written to the database and reducing your ingestion volume metrics.

NEW QUESTION # 62
The most recent Cortex XDR agents are being installed at a newly acquired company. A list with endpoint types (i.e., OS, hardware, software) is provided to the engineer. What should be cross- referenced for the Linux systems listed regarding the OS types and OS versions supported?

A. Content Compatibility Matrix
B. Agent Installer Certificate
C. End-of-Life Summary
D. Kernel Module Version Support

Answer: D

Explanation:
For Linux systems specifically, the critical compatibility check is the Kernel Module Version Support document. Unlike Windows or macOS, Linux has significant variability in kernel versions across distributions, and the Cortex XDR agent relies on kernel modules that must be compatible with the specific kernel version running on each endpoint.

NEW QUESTION # 63
Which components may be included in a Cortex XDR content update?

A. Firewall rules and antivirus definitions
B. Device control profiles, agent versions, and kernel support
C. Antivirus definitions and agent versions
D. Behavioral Threat Protection (BTP) rules and local analysis logic

Answer: D

Explanation:
Palo Alto Networks regularly rolls out Cortex XDR Content Updates to endpoints to keep their detection engines armed against new threats and zero-day exploits without requiring a full upgrade of the core agent software version.
Content updates deliver newly engineered security rules and detection patterns directly into the active local modules on the endpoint. This heavily includes updated Behavioral Threat Protection (BTP) rules (which identify malicious activity sequences across processes) and optimized Local Analysis logic/models (which use local machine learning to evaluate whether an unknown file is malware before execution).

NEW QUESTION # 64
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. Simulated Compute Units
C. Compute Unit Quota
D. Query Status

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 # 65
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