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Palo Alto Networks XDR-Engineer Exam Overview:

Certification Vendor:	Palo Alto Networks
Exam Name:	Palo Alto Networks Certified XDR Engineer
Exam Number:	XDR-Engineer
Exam Price:	$250 USD
Exam Duration:	90 minutes
Real Exam Qty:	50-75
Available Languages:	English
Certificate Validity Period:	2 years
Passing Score:	860/1000
Related Certifications:	Palo Alto Networks XDR Engineer Certification
Exam Format:	Multiple Select, Scenario-based, Multiple Choice
Sample Questions:	Palo Alto Networks XDR-Engineer Sample Questions
Exam Way:	Online proctored or Pearson VUE testing center
Pre Condition:	No formal prerequisite exam required. Recommended experience with Cortex XDR and security operations environments.
Official Syllabus URL:	https://www.paloaltonetworks.com/services/education/palo-alto-networks-xdr-engineer

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Palo Alto Networks XDR-Engineer Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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 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	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.

Palo Alto Networks XDR Engineer Sample Questions (Q51-Q56):

NEW QUESTION # 51
An analyst remotely investigates a compromised endpoint using Live Terminal. What advantage does this provide over traditional remote desktop access?

A. Controlled and Audited Access
B. Automatic Privilege Escalation
C. Disables Endpoint Logging
D. Eliminates Authentication Requirements

Answer: A

Explanation:
Live Terminal provides secure, centrally managed, and auditable access to endpoints. It reduces exposure associated with traditional remote management services while supporting investigation and remediation activities.

NEW QUESTION # 52
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. Compute Unit Quota
D. Simulated Compute Units

Answer: D

Explanation:
In Palo Alto Networks Cortex XSIAM / Cortex XDR, when you create and save an XQL query to run via API or a scheduled job, the system calculates its performance and resource impact.
Simulated Compute Units: This column in the Query Center provides an estimated or simulated value of the compute resources (Compute Units) that the query is expected to consume based on its complexity, the size of the targeted datasets, and its structure. Checking this column allows administrators to predict and manage their API consumption and credit burn before putting the query into production.

NEW QUESTION # 53
An XDR Collector is deployed onto the endpoint to collect logs for ingestion from a custom application running on a Linux endpoint, but the endpoint is not protected. How can protection be added to the endpoint?

A. Enable Cortex XDR Pro capabilities on the XDR Collector.
B. Install a Cortex XDR agent onto the endpoint.
C. Assign a malware prevention policy to the endpoint.
D. Add the endpoint to an endpoint group.

Answer: B

Explanation:
XDR Collector is used for log collection and ingestion, not endpoint protection. To protect the Linux endpoint with Cortex XDR prevention and detection capabilities, the Cortex XDR agent must be installed on that endpoint.

NEW QUESTION # 54
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 category is Malware
C. Alert severity is High
D. Alert source is Cortex XDR Analytics

Answer: C,D

Explanation:
To design a precise trigger condition for an automated response playbook, you must explicitly match the operational parameters requested:
"High-severity malware alerts" $\rightarrow$ A (Alert severity is High)This condition ensures the playbook filters out informational, low, or medium-severity events and only activates when an incident reaches a high risk threshold." Trigger for alerts generated by the Cortex XDR analytics engine, not custom BIOCs"
$\rightarrow$ B (Alert source is Cortex XDR Analytics)The Alert source field specifies which detection engine produced the alert. Restricting the source to Cortex XDR Analytics natively fulfills the requirement by completely isolating machine-learning/anomaly alerts and ignoring events sourced from BIOC or IOC rule engines.

NEW QUESTION # 55
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. 24 hours, re-queried to a maximum of 7 days
C. 24 hours, re-queried to a maximum of 14 days
D. 1 hour, re-queried to a maximum of 12 hours

Answer: B

Explanation:
In Cortex XDR/XSIAM, querying cold storage datasets consumes Compute Units (CU) based on the timeframe, dataset size, and query complexity. To prevent unnecessary CU consumption and speed up repetitive administrative tasks or consecutive incident lookups, Palo Alto Networks utilizes a caching architecture:
Rewarmed Data Cache: When an XQL query pulls historical data from cold storage, the retrieved logs are "rewarmed" and copied into a temporary hot storage cache.
Duration and Extensions: This rewarmed data remains instantly available in the cache for 24 hours at no additional CU cost. If you or another analyst run a subsequent query covering the same time range within that window, the 24-hour expiration timer resets. This rolling extension can be repeated up to a maximum lifetime of 7 days, after which the cache expires completely, and a brand-new retrieval from cold storage is required.

NEW QUESTION # 56
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