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Palo Alto Networks XSIAM-Engineer Exam Questions For Greatest Achievement [Updated 2026]
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Palo Alto Networks XSIAM-Engineer Exam Syllabus Topics:
Topic
Details
Topic 1
- Content Optimization: This section of the exam measures skills of Detection Engineers and focuses on refining XSIAM content and detection logic. It includes deploying parsing and data modeling rules for normalization, managing detection rules based on correlation, IOCs, BIOCs, and attack surface management, and optimizing incident and alert layouts. Candidates must also demonstrate proficiency in creating custom dashboards and reporting templates to support operational visibility.
Topic 2
- Integration and Automation: This section of the exam measures skills of SIEM Engineers and focuses on data onboarding and automation setup in XSIAM. It covers integrating diverse data sources such as endpoint, network, cloud, and identity, configuring automation feeds like messaging, authentication, and threat intelligence, and implementing Marketplace content packs. It also evaluates the ability to plan, create, customize, and debug playbooks for efficient workflow automation.
Topic 3
- Maintenance and Troubleshooting: This section of the exam measures skills of Security Operations Engineers and covers post-deployment maintenance and troubleshooting of XSIAM components. It includes managing exception configurations, updating software components such as XDR agents and Broker VMs, and diagnosing data ingestion, normalization, and parsing issues. Candidates must also troubleshoot integrations, automation playbooks, and system performance to ensure operational reliability.
Topic 4
- Planning and Installation: This section of the exam measures skills of XSIAM Engineers and covers the planning, evaluation, and installation of Palo Alto Networks Cortex XSIAM components. It focuses on assessing existing IT infrastructure, defining deployment requirements for hardware, software, and integrations, and establishing communication needs for XSIAM architecture. Candidates must also configure agents, Broker VMs, and engines, along with managing user roles, permissions, and access controls.
Palo Alto Networks XSIAM Engineer Sample Questions (Q233-Q238):
NEW QUESTION # 233
A multinational corporation uses Palo Alto Networks XSIAM to manage its attack surface across various cloud providers (AWS, Azure, GCP) and on-premises environments. Due to regulatory compliance, all internet-facing web servers must enforce TLS 1.2 or higher. The security team needs to create an XSIAM ASM rule to detect any web server exposing TLS 1.0 or 1.1 . Which of the following XQL query components would be essential for this detection rule?
- A.
- B.
- C.
- D.
- E.
Answer: D
Explanation:
Option B directly queries network session data (xdr_network_sessions), specifically looking at destination ports 80 and 443 (common for web servers) and filtering on the 'ssl_version' field for 'TLSv1 ' or 'TLSv1.1'. This is the most accurate and direct way to detect insecure TLS versions at the network session level, which is critical for internet-facing services. Option A is too generic and relies on raw log content which might not be consistently structured. Option C focuses on process command lines, which may not always expose SSL version. Option D is closer but 'ssl_protocol_version' might not be a direct field in xdr_endpoint_events for network connections in the same way as xdr_network_sessions. Option E relies on specific cloud events which might not cover all web servers or environments.
NEW QUESTION # 234
A company is automating Cortex XSIAM agent deployment using Ansible. The challenge is to install the agent and ensure it's registered with the correct agent group dynamically, without hardcoding group names into the playbook, as new groups are frequently created. The XSIAM API documentation provides endpoints for retrieving agent group information. Which of the following Ansible playbook snippets best demonstrates the concept of dynamic agent group assignment using the XSIAM API during installation?
- A.
- B.
- C.
- D.
- E.
Answer: A
Explanation:
Option B correctly demonstrates the concept of dynamic agent group assignment using the XSIAM API. It first uses the 'uri' module to make an API call to , authenticating with a bearer token. This API call retrieves all existing agent groups from the XSIAM console. The subsequent installation step then uses Jinja2 templating Cxsiam_groups.json.reply.agent_groups I selectattr('name', 'equalto', 'Linux_Servers') I map(attribute='name') I first') to dynamically select the name of the 'Linux_Servers' group from the API response and pass it to the agent installer. This is a robust method for ensuring agents are assigned to correct groups, even if group IDs or exact names change, as long as a lookup logic (like matching by a known name 'Linux_Servers') is maintained. Option A uses a regex for group naming, which is not dynamic in relation to XSIAM console groups. Option C hardcodes the group. Option D is a post-installation change, not during initial deployment, and doesn't dynamically fetch groups. Option E uses conditional logic but still relies on hardcoded group names within the playbook, not fetching them dynamically from the XSIAM API.
NEW QUESTION # 235
A financial institution is evaluating its existing identity and access management (IAM) infrastructure for XSIAM integration. They utilize Microsoft Active Directory Federation Services (AD FS) for on-premise application authentication, Okta for cloud application SSO, and a custom LDAP directory for legacy systems. What is the MOST effective strategy for this institution to ensure comprehensive identity telemetry collection for XSIAM, and what is a potential pitfall to avoid?
- A. Strategy: Configure each application to directly forward authentication logs to XSIAM via syslog. Pitfall: Managing syslog configurations across a large number of applications and potential data loss.
- B. Strategy: Utilize XSIAM's built-in User-ID agent to pull user mappings from all identity sources directly. Pitfall: Over-reliance on User-ID for full authentication details rather than just IP-to-user mapping.
- C. Strategy: Deploy XSIAM Data Collectors (XSIAM_DC) on-premise to ingest logs from AD FS event logs, directly integrate Okta via API, and configure LDAP forwarding from the custom directory. Pitfall: Ensuring proper log normalization and field mapping across disparate identity sources.
- D. Strategy: Implement a Security Information and Event Management (SIEM) solution as an intermediary to collect all identity logs, then forward a summarized feed to XSIAM. Pitfall: Adding an unnecessary layer of complexity and potential latency for real-time analysis.
- E. Strategy: Consolidate all identity sources into a single Azure AD instance, then integrate Azure AD with XSIAM. Pitfall: Data migration complexity and potential downtime during consolidation.
Answer: C
Explanation:
The most effective strategy is to directly integrate each identity source with XSIAM using the appropriate methods. For AD FS (on-premise Windows events), an XSIAM Data Collector can ingest logs. Okta, being a cloud service, can often be integrated via a direct API connection. Custom LDAP directories can usually forward logs via syslog or other standard mechanisms. The pitfall is ensuring that the ingested logs, despite coming from different sources with varying formats, are properly normalized and mapped to XSIAM's Common Information Model (CIM) to enable unified analysis. Options A and E introduce unnecessary complexity or reliance on other systems, while C misinterprets the role of User-ID. D is impractical for managing multiple applications.
NEW QUESTION # 236
An XSIAM administrator is configuring a dashboard for endpoint security posture. A key metric is the 'Percentage of Endpoints with Outdated Antivirus Signatures'. The raw data in XSIAM's endpoint_status_logs includes a boolean field is_signature_current. Which XQL snippet would accurately represent this metric in a percentage format for a dashboard widget?
- A.
- B.
- C.
- D.
- E.
Answer: D
Explanation:
NEW QUESTION # 237
A cybersecurity firm specializing in managed security services (MSSP) plans to offer XSIAM as a service to its diverse clientele. This requires a multi-tenant XSIAM deployment. The MSSP needs to ensure strict data segregation, performance isolation for each tenant, and efficient resource utilization across tenants. From a hardware perspective, what are the primary considerations to achieve these objectives, and what is a potential pitfall?
- A. Relying solely on XSIAM's built-in multi-tenancy features without additional hardware-level isolation, with a pitfall of insufficient performance guarantees and potential resource contention between tenants.
- B. Procuring high-end GPU servers to accelerate tenant-specific machine learning models, with a pitfall of high power consumption and limited applicability to all XSIAM workloads.
- C. Utilizing a hyperconverged infrastructure (HCI) solution with robust virtualization capabilities and resource governance features to logically isolate tenants, with a pitfall of potential 'noisy neighbor' issues if not properly configured.
- D. Deploying dedicated physical server hardware for each major tenant to ensure strict performance isolation, with a pitfall of high capital expenditure and underutilization of resources.
- E. Implementing a container orchestration platform like Kubernetes on bare-metal servers to provide granular resource limits for each tenant, with a pitfall of increased operational complexity and learning curve.
Answer: C
Explanation:
For an MSSP offering multi-tenant XSIAM, the key is to achieve logical isolation and performance guarantees without dedicating physical hardware per tenant, which is cost-prohibitive (A). HCI (B) is well-suited for this. It provides the necessary virtualization and resource governance (CPU, RAM, I/O limits) to create isolated virtual environments for each tenant on shared hardware, optimizing resource utilization. The pitfall of 'noisy neighbor' is inherent to shared infrastructure but can be mitigated with proper HCI configuration and resource planning. While containers (C) offer granularity, XSIAM deployments often leverage virtual machines, and HCI provides a robust underlying platform. GPUs (D) are not a primary requirement for general XSIAM multi-tenancy. Relying solely on XSIAM's internal multi-tenancy (E) without underlying hardware/virtualization guarantees would lead to performance issues in a demanding MSSP scenario.
NEW QUESTION # 238
......
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