A company is migrating from a traditional SIEM to XSIAM. They have a legacy application that generates logs in a highly customized, non-standard XML format, and the application's development team is no longer available to modify its logging mechanism. The logs are critical for compliance and incident forensics. What is the most effective strategy to ensure these logs are ingested into XSIAM with proper normalization and enrichment for analysis?
Correct Answer: A,B
Both A and B are viable and effective strategies. A custom Python script (A) offers maximum flexibility and control for complex transformations of XML into a XSlAM-compatible format like JSON or CEF, which can then be ingested. A commercial ETL tool (B) can provide a more managed and potentially faster solution for complex parsing and transformation if available and within budget, often with built-in features for handling various data formats. Option C is unreliable for complex, custom XML. Option D is highly inefficient and not scalable for dynamic logs. Option E is not a practical solution for critical compliance/forensic data.
XSIAM-Engineer Exam Question 28
Consider an XSIAM deployment where the customer wants to integrate an internal proxy server for all outbound XSIAM Data Collector communications to the XSIAM Data Lake and other cloud services. The proxy requires NTLM authentication and performs deep packet inspection (DPI). What are the critical communication challenges and configuration considerations for this scenario, and how might they impact data ingestion and XSIAM functionality?
Correct Answer: B
This is a challenging scenario. NTLM proxy authentication is typically not supported natively by XSIAM Data Collectors (or many cloud-native agents) for outbound communication; proxies usually require basic authentication or no authentication for direct proxying. More critically, DPI on encrypted TLS traffic requires SSL/TLS interception (man-in-the-middle). This breaks the trust chain if the Data Collector doesn't trust the proxy's dynamically generated certificates, leading to connection failures. To make this work, the proxy must perform interception, and the Data Collectors (or their underlying OS) must be configured to trust the proxy's root CA certificate. Option B accurately describes these challenges.
XSIAM-Engineer Exam Question 29
A large financial institution is planning to deploy Palo Alto Networks XSIAM to centralize security operations and automate threat response. A key requirement is to ingest massive volumes of security telemetry from existing SIEM, EDR, network devices, and cloud logs, with a stringent RTO of 15 minutes for critical incidents. Which of the following XSIAM deployment considerations is MOST critical to evaluate initially to meet these requirements?
Correct Answer: C
The most critical initial consideration for ingesting massive data volumes with a stringent RTO is the underlying network infrastructure. Inadequate bandwidth or high latency will directly impact data ingestion rates and the ability to process and respond to incidents within the desired timeframe. While other options are important, they are secondary to ensuring the data can actually reach XSIAM effectively. CDL retention (A) is for storage, playbook definition (B) is for response logic, team proficiency (D) is for operationalization, and content development (E) is for reporting, all of which are downstream from data ingestion.
XSIAM-Engineer Exam Question 30
During the planning phase for a new XSIAM deployment, an organization identifies that a critical internal application generates highly sensitive proprietary logs in a custom JSON format, which frequently changes due to agile development cycles. XSIAM's standard data connectors do not fully support this dynamic format out-of-the-box. What is the most robust approach to ensure reliable and scalable ingestion of these logs into XSIAM?
Correct Answer: B
Given the dynamic nature of the custom JSON format, developing a custom log forwarder provides the most robust and flexible solution. It allows for programmatic transformation and normalization of the data before ingestion, adapting to schema changes. Options A and D are inefficient or unreliable. Option C might be an option but less agile for frequent changes, and E involves modifying the source application which is often outside the security team's control or scope.
