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Palo Alto Networks XSIAM Engineer Sample Questions (Q358-Q363):

NEW QUESTION # 358
An XSIAM deployment utilizes a Broker VM for secure communication and data forwarding from on-premise data sources. A critical network sensor (e.g., a custom IDS/IPS appliance) needs to send syslog data to XSIAM. The sensor has strict outbound connectivity policies, and the XSIAM Broker VM is already configured for other integrations. Which configuration steps are necessary on the Broker VM and the network sensor to successfully onboard this data source into XSIAM?

A. On the network sensor, configure it to send syslog to the XSIAM cloud ingestion URL directly over HTTPS. The Broker VM is not involved in syslog forwarding.
B. The Broker VM is only for Cortex XDR agent communication; syslog data must be forwarded via a dedicated syslog collector directly to the XSIAM cloud.
C. On the network sensor, configure it to send syslog to the Broker VM's IP address on UDP port 514. On the Broker VM, install a custom syslog-ng or rsyslog configuration to forward received logs to a specific XSIAM ingestion endpoint via a REST API call.
D. On the network sensor, configure it to send syslog to the Broker VM's IP address on TCP port 601. On the Broker VM, configure a 'Syslog Collector' service to listen on port 601 and specify a parser for the incoming logs.
E. On the network sensor, configure it to send syslog to the Broker VM's IP address on UDP port 514. On the Broker VM, no specific configuration is needed as it automatically forwards all received syslog data to XSIAM.

Answer: D

Explanation:
The XSIAM Broker VM is designed to act as a secure intermediary for various on-premise data sources, including syslog. To successfully onboard a syslog source through the Broker VM: Option B is correct. On the network sensor, you configure it to send syslog to the Broker VM's IP address (typically on a standard syslog port like TCP 601 for reliable delivery, though UDP 514 is also possible). Crucially, on the Broker VM itself, you must explicitly enable and configure a 'Syslog Collector' service within the XSIAM console (via the Broker VM configuration). This collector needs to be set to listen on the specified port (e.g., 601 TCP) and will then forward the received logs securely to the XSIAM cloud. You often also need to specify a parser profile for the incoming logs if they are not in a standard format XSIAM recognizes. Option A is incorrect because the Broker VM does not automatically forward all received syslog; a collector must be configured. Option C is incorrect because directing syslog directly to the XSIAM cloud ingestion URL is not how syslog typically works; it requires a collector/fotwarder. Option D implies manual configuration of syslog-ng/rsyslog on the Broker VM, which is not the standard or recommended XSIAM method; the Broker VM provides built-in syslog collection capabilities configured via the XSIAM console. Option E is incorrect; the Broker VM supports various data types, including syslog, not just Cortex XDR agent communication.

NEW QUESTION # 359
A new XSIAM Playbook is being developed to automate incident enrichment. The Playbook needs to retrieve detailed user information (e.g., department, manager, last login) from an external Identity Provider (ldP) like Okta or Azure AD for a compromised user identified by XSIAM. Which type of Playbook task and associated configuration is most appropriate for this scenario?

A. Task: 'Fetch File Sample'; Configuration: Provide the user's home directory path.
B. Task: 'Run Command Line'; Configuration: Execute a PowerShell script with hardcoded ldP credentials.
C. Task: 'Enrich Indicator'; Configuration: Select 'User' as indicator type and specify the username.
D. Task: 'Generic API Call'; Configuration: Specify the IdP's API endpoint, method (GET), and authentication headers/body.
E. Task: 'Get Alerts by XQL'; Configuration: Query the 'identity_info' dataset.

Answer: D

Explanation:
To retrieve detailed user information from an external ldP (Okta, Azure AD), a 'Generic API Call' is the most suitable task. XSIAM's internal datasets ('identity_info') might contain some data, but not always the full scope from an external IdP. 'Enrich Indicator' is for existing XSIAM indicators, not external systems. 'Run Command Line' with hardcoded credentials is a security risk and not the intended method. 'Fetch File Sample' is irrelevant.

NEW QUESTION # 360
Your XSIAM deployment is integrated with an external vulnerability management system. A recent scan has identified several legitimate, but unpatched, internal web servers that are generating 'Web Application Vulnerability Detected' alerts from an XSIAM Correlation Rule. Due to business constraints, these servers cannot be patched immediately. You need to create an exclusion that dynamically adapts to new web server deployments within a specific subnet (172.16.10.0/24) while still alerting on any other web application vulnerabilities outside this specific, known-vulnerable context. Which XSIAM exclusion configuration snippet, applied to the 'Web Application Vulnerability Detected' rule, would achieve this? Assume and are relevant fields.

Answer: D

Explanation:
Option D accurately reflects the likely structure and fields for creating an exclusion in XSIAM that targets a specific detection rule and applies conditions to the events themselves Cevent_filter'). The use of for subnet matching and 'CONTAINS' for text matching within the 'event_filter' is crucial for dynamically excluding all servers in that subnet with a specific vulnerability description, without requiring manual updates for new servers. This ensures the rule is still active for other vulnerabilities or IPs. Options A and C use non-standard or generic exclusion syntax. Option B lacks the specific alert description condition, making it too broad. Option E is more akin to a general suppression rule rather than a direct rule exclusion and modifies severity, which is not the primary goal.

NEW QUESTION # 361
A critical XSIAM automation playbook is designed to respond to ransomware attacks by isolating affected hosts and triggering a forensic snapshot. The playbook's reliability is paramount. Due to potential network latency or API rate limits, the external API calls (e.g., for host isolation to an EDR, and snapshot to a backup solution) might occasionally fail or timeout. What advanced XSIAM playbook features and best practices should be integrated to ensure resilience and successful execution even with transient failures?

A. Configure a single, maximum timeout value for the entire playbook run, after which it aborts.
B. Disable network latency checks for the XSIAM engine to speed up execution.
C. Design the playbook to simply log errors and continue, relying on manual follow-up for failed actions.
D. Add 'Wait' steps of fixed duration between API calls, regardless of success or failure.
E. Implement 'Retry Policies' with exponential backoff for each external API call action, along with 'Timeout' settings for individual steps.

Answer: E

Explanation:
To ensure resilience in the face of transient network or API issues, implementing 'Retry Policies' with exponential backoff for individual external API call actions is crucial. This allows the playbook to automatically reattempt failed actions after increasing delays, accommodating temporary service disruptions. Additionally, setting 'Timeout' values for individual steps prevents the playbook from hanging indefinitely if an external service is unresponsive. Option A is too blunt; C is inefficient; D is detrimental; E compromises the automated response for critical incidents.

NEW QUESTION # 362
A sophisticated APT group has compromised several endpoints within an organization. The XSIAM platform detected initial suspicious activity, but the security team needs to rapidly isolate affected systems and gather more forensic dat a. The organization has Palo Alto Networks NGFWs, Cortex XDR, and XSIAM deployed. Describe the automated response workflow that should be configured within XSIAM to address this scenario, leveraging all available data sources and enforcement points.

A. Set up a scheduled XSIAM query to identify compromised endpoints daily and then manually initiate a forensic collection from those systems.
B. Focus solely on network-based detections from the NGFW and configure automated quarantine policies on the firewall for suspicious traffic.
C. Develop a custom Python script outside of XSIAM that monitors Cortex XDR alerts and uses the NGFW API to block suspicious traffic.
D. Create an XSIAM playbook that, upon detection of a high-confidence threat on an endpoint (Cortex XDR alert), automatically triggers an 'Isolate Endpoint' action via the Cortex XDR integration and concurrently creates a custom blocking rule on the NGFW based on the detected malicious IP address.
E. Configure an XSIAM alert forwarding rule to send all high-severity alerts to the SOC team's Slack channel for manual review and response.

Answer: D

Explanation:
For a sophisticated APT compromise, rapid, automated response is critical. The most effective automated response workflow within XSIAM (A) leverages its orchestration capabilities: Upon a high-confidence threat detection from Cortex XDR (endpoint data source), an XSIAM playbook can be triggered. This playbook should automatically initiate endpoint isolation via the Cortex XDR integration to contain the threat and concurrently push a custom blocking rule to the NGFW (network enforcement point) to prevent further C2 communication or data exfiltration based on observed malicious indicators. This multi-faceted automated response significantly reduces dwell time and impact. Options B and C rely on manual intervention, defeating the purpose of automation. Option D is external to XSIAM's integrated automation capabilities. Option E ignores the critical endpoint visibility and control provided by Cortex XDR.

NEW QUESTION # 363
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