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Palo Alto Networks XSIAM Engineer Sample Questions:

1. An XSIAM automation rule is configured to trigger a Cortex XSOAR playbook when a specific incident severity (e.g., 'High') is detected and a certain alert tag (e.g., 'Malware') is present. However, the playbook is not being triggered, even though incidents matching these criteria are appearing in XSIAM. Which of the following is the most likely cause?

A) The XSOAR engine connected to XSIAM is offline or experiencing network connectivity issues.
B) The XSIAM 'Incident Enrichment' automation is failing, leading to incomplete incident data.
C) The XSIAM automation rule's trigger condition for incident severity or alert tag is using an incorrect case or a non-exact match where an exact match is required.
D) The XSIAM 'Incident Tagger' automation is misconfigured and not applying the 'Malware' tag correctly.
E) The XSOAR playbook itself has a syntax error that prevents it from starting.

2. 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)

3. A large enterprise is integrating XSIAM with its existing SOAR platform. The SOAR platform needs to automatically ingest alerts from XSIAM and also trigger actions in XSIAM, such as playbook execution or incident status updates. Given the need for real-time alert ingestion and reliable action triggering, which of the following communication mechanisms would be most appropriate, considering security, scalability, and resilience?

A) SOAR polling the XSIAM /api/vl/alerts endpoint every 5 minutes, and XSIAM pushing updates to SOAR via unauthenticated webhooks.
B) Using email notifications from XSIAM for alerts, and SOAR sending SMTP commands to XSIAM for action triggering.
C) Direct database access from SOAR to XSIAM's underlying data store for alert retrieval, and SSH for command execution.
D) SOAR and XSIAM exchanging data via shared SMB network drives, with scheduled batch file transfers.
E) XSIAM configured to send real-time alerts to the SOAR's ingestion endpoint via authenticated webhooks (HTTPS with API Key/OAuth), and SOAR making authenticated API calls (HTTPS with API Key) to XSIAM's /api/vl/playbooks/execute or /api/vl/incidents endpoints.

4. An XSIAM engineer is reviewing a correlation rule that identifies 'Suspicious Data Staging' events. The rule is currently based on detecting a large volume of file write operations to a compressed archive format (e.g., .zip, .rar) followed by a network connection to an external, untrusted IP. The rule is missing detections because attackers are now using legitimate cloud storage sync tools (e.g., OneDrive, Dropbox) for staging, which do not involve traditional archive file writes, and the network connections are to trusted cloud services. How should the XSIAM content be optimized to detect this evolving threat, assuming XSIAM has visibility into cloud app usage logs and process activities?

A) Modify the rule to exclusively look for executables named 'winzip.exe' or 'winrar.exe' creating archive files, then exclude all connections to public cloud IPs.
B) Add all cloud storage IPs to a global exclusion list, as they are considered 'trusted'.
C) Reduce the time window for the correlation to 5 seconds to only detect extremely rapid staging, assuming legitimate sync tools are slower.
D) Remove the file write and network connection components. Instead, focus solely on 'User Behavior Analytics' (UBA) for unusual data access patterns, without any specific rule logic.
E) Create a new 'Behavioral Profile' for sensitive data, tracking access patterns. Then, correlate 'large volume of file access' (read/write) events on sensitive data, followed by 'cloud storage sync client process activity' (e.g., onedrive. exe, dropbox .exe), where the destination is an external tenant or an unusual user account, combined with a 'low reputation destination' network connection from the cloud service itself (if possible through API logs).

5. Consider the following scenario: A Broker VM has been successfully deployed and registered with Cortex XSIAM. However, an analyst notices that logs from a specific Windows server, configured to send Sysmon events via a Winlogbeat forwarder, are not appearing in Cortex XSIAM. Other log sources connected to the same Broker VM are successfully sending data'. Which of the following is the most logical first step in troubleshooting this issue on the Broker VM?

A) Review the Cortex XSIAM 'Collector Health' dashboard for any alerts related to the specific Broker VM or data source.
B) Check the Broker VM's network interface statistics for incoming traffic on the port Winlogbeat is configured to send to.
C) Log in to the Broker VM via SSH and check the status of the 'data-collector' service and its logs.
D) Inspect the Winlogbeat configuration file on the Windows server to confirm the correct Broker VM IP address and port.
E) Verify the 'data-collector-profiles' configuration on the Broker VM via the XSIAM console to ensure a profile exists for Winlogbeat.

Solutions: