Free Paloalto Networks XSIAM-Engineer Practice Exam with Questions & Answers | Set: 2

When a disable injection and prevention rule is applied to a running process, the security capabilities are detached for the lifetime of that process. Even after disabling the rule, the capabilities are not reapplied automatically; the process must be restarted to restore security enforcement.

When a playbook execution reaches a breakpoint on a non-manual task, you can skip the task with the breakpoint to allow the playbook to continue, or manually trigger continuation using "Run Script Now" or "Complete Manually". These actions resume execution without restarting the entire playbook.

The best approach is to minimize data modifications during ingestion, prioritizing raw data capture to preserve accuracy. Then, apply XDM (XSIAM Data Model) transformations and integrity checks post-ingestion. This ensures that threat detection and response are based on unaltered, high-fidelity data while still enabling normalization and enrichment after ingestion.

In a Cortex XSIAM parsing rule, the COLLECT section defines the newly created dataset. This section specifies how the parsed fields and data should be structured and stored for further use in analytics and queries.

For Cortex XDR agents running on servers in zones without internet access, a Broker VM is used as a communication bridge. The Broker VM securely relays traffic between the isolated agents and the Cortex platform, maintaining connectivity without requiring direct internet access from the servers.

The correct query is the preset = host_inventory_applications with filters for application_name contains "ai_app" and version in ("12.1", "12.2", "12.4", "12.5"). This directly identifies hosts that have the vulnerable application and specific versions installed, matching the analyst’s request to find assets exposed to the zero-day CVE.

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.