XSIAM-Engineer Palo Alto Networks XSIAM Engineer Exam

 

Level: Specialist
Format: Certification
Platform: Security Operations

The Palo Alto Networks Certifi ed XSIAM Engineer certifi cation is designed to validate the knowledge and skills required to use the Palo Alto Networks XSIAM platform for installation, deployment confi guration, post-deployment management and confi guration, data source onboarding and integration confi guration, playbook creation, and detection engineering. The purpose of this document is to help you prepare for the exam and attain the certifi cation. Please note that this document is intended to help identify the topics covered and to provide resources and references for understanding those topics. It is not intended to be used as the sole document to prepare for the XSIAM Engineer exam.

Audience and Qualifications

Target Audience
This exam is designed for the XSIAM engineers and SIEM engineers responsible for installation, deployment confi guration, post-deployment management and confi guration, data source onboarding and integration confi guration, playbook creation, and detection engineering.

Skills Required
● Working knowledge of security operations
● Basic understanding of network security, infrastructure, protocols, and topology
● Working knowledge of endpoint OS fundamentals and security hardening methods
● Working knowledge of SIEM and security operations technology
● Basic knowledge of current and emergent trends in information security
● Use security models / architectures (e.g., defense-in-depth, Zero Trust)
● Working knowledge of programming and scripting languages (i.e., Python, Powershell, SQL, RegEx, XQL)
● Ability to implement automation and orchestration for effi cient incident handling
● Ability to ingest data from threat and vulnerability feeds and determine applicability to the organization
● Working knowledge of log source onboarding, log normalization, and parsing
● Ability to integrate products and tools, including third-party products and tools
● Ability to confi gure agents, including policies and profi les
● Ability to ensure the availability, integrity, and security of data through monitoring
● Working knowledge of security frameworks (e.g., MITRE ATT&CK)
● Basic understanding of vulnerability management
● Basic understanding of threat intelligence management
● Familiarity with common data formats and data transformation (e.g., JSON, XML, CEF)
● Basic understanding of SaaS architectures

1. Planning and Installation 22%
1 Evaluate the existing IT infrastructure and security posture to align with XSIAM architecture 1.2 Evaluate deployment requirements, objectives, and resources 1.2.1 Hardware 1.2.2 Software 1.2.3 Data sources 1.2.4 Integrations 1.3 Identify communication requirements for XSIAM components 1.4 Install and confi gure Cortex XSIAM components 1.4.1 Agents 1.4.2 Broker VM 1.4.3 Engine 1.5 Confi gure user roles, permissions, and access controls 2.

Integration and Automation 30%
1 Onboard data sources (e.g., endpoint, network, cloud, identity) 2.2 Confi gure automation and feed integrations (e.g., messaging, SIEM, authentication, threat intelligence feeds) 2.3 Implement and maintain Marketplace content packs 2.4 Manage automation workfl ow 2.4.1 Plan 2.4.2 Playbook tasks 2.4.3 Customize 2.4.4 Debug 3.

Content Optimization 24%
1 Deploy parsing rules for unique data formats 3.2 Deploy data modeling rules for data normalization 3.3 Manage detection rules to align with provided requirements 3.3.1 Correlation 3.3.2 Indicators of compromise (IOCs) and behavioral indicators of compromise (BIOCs) 3.3.3 Indicator rules 3.3.4 Scoring rules 3.3.5 Attack Surface Management (ASM) rules 3.4 Manage incident and alert layout 3.5 Create custom dashboards and reporting templates 4.

Maintenance and Troubleshooting 24 %
1 Manage exception and exclusion confi gurations 4.2 Manage XSIAM software component updates (e.g., content, XDR agent, XDR collector, Broker VM) 4.3 Troubleshoot data management issues (e.g., data ingestion, normalization, parsing) 4.4 Troubleshoot Cortex XSIAM components (e.g., agents, integrations, playbooks)

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Sample Question and Answers

QUESTION 1
How will Cortex XSIAM help with raw log ingestion from third-party sources in an existing infrastructure?

A. Any structured logs coming into it are left completely unchanged, and only metadata is added to the raw data.
B. For structured logs, like CEF, LEEF, and JSON, it decouples the key-value pairs and saves them in table format.
C. Any unstructured logs coming into it are left completely unchanged, and metadata is not added to the raw data.
D. For unstructured logs, it decouples the key-value pairs and saves them in a table format.

Answer: B

Explanation:
Cortex XSIAM ingests structured third-party logs (such as CEF, LEEF, and JSON) by breaking down the
key-value pairs and saving them in a normalized table format. This enables efficient correlation,
analytics, and query performance across diverse log sources while preserving data fidelity.

QUESTION 2
In which two locations can correlation rules be monitored for errors? (Choose two.)

A. XDR Collector audit logs (type = Rules, subtype = Error)
B. correlations_auditing dataset through XQL
C. Management audit logs (type = Rules, subtype = Error)
D. Alerts table as a health alert

Answer: A, B

Explanation:
Correlation rule errors can be tracked in XDR Collector audit logs (type = Rules, subtype = Error) and
by querying the correlations_auditing dataset through XQL. These provide visibility into execution
issues and failures for correlation rules.

QUESTION 3
Which option should be used when customizing a dashboard in Cortex XSIAM to include a widget
that will display data filtered by more than one dynamic value?

A. Free text/number
B. Multi-select
C. Fixed filter
D. Single-select

Answer: B

Explanation:
The Multi-select option allows a dashboard widget in Cortex XSIAM to be filtered by more than one
dynamic value, enabling flexible data exploration and visualization across multiple selected criteria.

QUESTION 4
How must Cloud Identity Engine be deployed and activated on Cortex XSIAM?

A. In a different region than Cortex XSIAM; logs can be verified using pan_dss_raw dataset
B. In a different region than Cortex XSIAM; logs can be verified using endpoints dataset
C. In the same region as Cortex XSIAM; logs can be verified using pan_dss_raw dataset
D. In the same region as Cortex XSIAM; logs can be verified using endpoints dataset

Answer: C

Explanation:
Cloud Identity Engine must be deployed in the same region as Cortex XSIAM to ensure compliance
and proper data handling. Once integrated, the ingestion can be verified by checking the
pan_dss_raw dataset, which records the raw directory synchronization logs.

QUESTION 5
Which common issue can result in sudden data ingestion loss for a data source that was previously successful?

A. Data source is using an unsupported data format.
B. Data source has reached its maximum storage capacity.
C. Data source has reached its end of life for support.
D. API key used for the integration has expired.

Answer: D

Explanation:
A sudden data ingestion loss for a previously successful data source commonly occurs when the API
key used for the integration has expired, breaking authentication and preventing further log collection.