Palo Alto Networks XSIAM Engineer - XSIAM-Engineer

Palo Alto Networks XSIAM-Engineer test insides dumps
  • Exam Code: XSIAM-Engineer
  • Exam Name: Palo Alto Networks XSIAM Engineer
  • Updated: Sep 06, 2025
  • Q & A: 380 Questions and Answers
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Palo Alto Networks XSIAM Engineer Sample Questions:

1. An XSIAM Engineer observes that after a recent application update, security events from a critical business application are no longer triggering expected XSIAM correlation rules. Upon investigation, it's discovered that while the logs are being ingested, the '_time' field in XSIAM for these specific logs is consistently showing the ingestion time (e.g., now()), rather than the actual event timestamp present in the raw log, which is in ISO 8601 format (e.g., '2023-10-27 T 14:35:10.1237). The raw log field containing the timestamp is named 'eventTime'. What is the most likely cause and the precise XSIAM parsing rule configuration adjustment needed?

A) The application update changed the timestamp format, and the XSIAM parsing rule's 'time_format' or 'time_field' setting is no longer correctly configured to extract and parse 'eventTime' as the primary timestamp for the event. The XSIAM parsing rule needs to explicitly set 'time_field: eventTime' and specify the correct 'time_format: IS08601 or a suitable 'strptime' pattern.
B) The 'eventTime' field is being dropped during normalization because it's not mapped to a standard CIM field. This doesn't explain '_time' defaulting to ingestion time.
C) The XSIAM Collector's internal clock is out of sync with the application server. Synchronize the NTP on the Collector. This would affect all logs, not just specific ones.
D) The XSIAM license has expired, leading to partial data processing and timestamp issues. This would cause broader ingestion failures, not specific timestamp re-writes.
E) The XSIAM Data Lake is experiencing high latency, causing delays in '_time' field indexing. This affects query performance, not the source of the '_time' value.


2. A large enterprise is planning to deploy Cortex XSIAM and expects to ingest data from 50,000 endpoints, 100 network devices, and 20 cloud accounts daily, generating an estimated 5 TB of raw log data per day. The security team requires a 90-day hot storage retention and a I-year cold storage retention for compliance. Given these requirements, which of the following considerations are paramount when planning the XSIAM Engine deployment architecture to ensure optimal performance, scalability, and cost-efficiency?

A) Focusing solely on the CPU and RAM allocation for the Engine, as storage is managed independently by XSIAM's backend.
B) Carefully sizing the Engine's local storage for temporary processing and event buffering, and verifying sufficient bandwidth to XSIAM's cloud storage for long- term retention.
C) Prioritizing the deployment of a single, monolithic XSIAM Engine instance with maximum available resources to simplify management.
D) Implementing a distributed Engine architecture with multiple Engine instances across different geographical regions to minimize latency for data ingestion.
E) Ignoring the daily data ingestion volume, as XSIAM's cloud infrastructure automatically scales to accommodate any data load without prior planning.


3. A security analyst is designing an automation workflow in XSIAM to automatically quarantine endpoints exhibiting specific malware behavior identified by XDR. The workflow needs to first enrich the endpoint details from an external CMDB, then check if the endpoint belongs to a critical asset group, and finally, if both conditions are met, initiate a quarantine action via an API call to the endpoint security solution. Which XSIAM automation construct would be most suitable for this conditional logic and external system interaction?

A) A custom XSIAM 'Indicator of Compromise (IOC)' definition.
B) A 'Search Query' in XSIAM's Query Language (XQL) to identify affected endpoints.
C) Manually triggering a 'Response Action' from the XSIAM incident details page.
D) An XSIAM 'Playbook' leveraging 'Conditional Steps' and 'External API Integrations'.
E) A simple XSIAM 'Alert Action' with a pre-defined quarantine function.


4. An XSIAM Engine is deployed in a hardened environment where internet access is strictly controlled via a forward proxy with SSL inspection enabled. The Engine fails to connect to the XSIAM cloud tenant. Assuming network connectivity to the proxy is confirmed, what specific configurations are required on both the XSIAM Engine and potentially the proxy server to allow successful communication with the XSIAM cloud, and why are these configurations critical?

A) Only configure the proxy settings on the XSIAM Engine; SSL inspection on the proxy does not impact XSIAM communication.
B) The XSIAM Engine only supports direct internet connections; proxy usage is not supported under any circumstances.
C) The XSIAM Engine automatically detects proxy configurations via WPAD, so no manual configuration is needed.
D) Configure the XSIAM Engine with the proxy server details, and the proxy server must have an inbound rule to allow traffic from the XSIAM cloud.
E) Configure the XSIAM Engine with the proxy server details (IPlport) and ensure the proxy's root CA certificate is imported into the Engine's trust store. Additionally, the proxy must be configured to bypass SSL inspection for XSIAM cloud FQDNs or use a trusted certificate for re-encryption.


5. A global enterprise with significant regulatory compliance burdens (e.g., GDPR, CCPA) is planning an XSIAM deployment. They identify sensitive personal identifiable information (PII) within certain log sources. During the 'Evaluate deployment requirements' phase, how should XSIAM's capabilities be leveraged to address PII masking and data anonymization before ingestion into Cortex Data Lake, while still allowing security analysts to perform investigations when necessary?

A) Develop an XSOAR playbook that periodically scans CDL for PII and then encrypts the identified fields in place.
B) Utilize XSIAM's built-in data retention policies to automatically delete logs containing PII after a short period, regardless of investigation needs.
C) Implement an external data anonymization service that processes all logs before forwarding them to XSIAM, with a mechanism to de-anonymize on demand.
D) Rely solely on XSIAM's role-based access control (RBAC) to restrict access to raw PII data in CDL.
E) Configure log collectors (e.g., XDR agents, syslog forwarders) with pre-ingestion regex-based masking rules to anonymize PII fields before they reach CDL.


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: D
Question # 4
Answer: E
Question # 5
Answer: C,E

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