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最新的 Security Operations XSIAM-Engineer 免費考試真題:

1. A critical SIEM integration requires specific custom fields from Windows Event Logs (ingested via Winlogbeat and XSIAM's EDR integration) to be normalized into XSIAM's Common Information Model (CIM). After a recent XSIAM content update, these fields are no longer mapping correctly. The raw logs in XSIAM show the custom fields are present and correctly ingested. What is the most effective troubleshooting approach to restore the correct CIM normalization?

A) Check the XSIAM 'Data Source Configuration' for the Windows Event Logs. Verify that the 'Normalization Rules' or 'Field Mapping' sections still correctly map the custom fields to the target CIM fields. It's possible the update overwrote or altered these mappings.
B) Manually edit the 'normalization_schema.json' file on the XSIAM backend to force the correct mapping. (Note: This is generally not recommended for production environments without Palo Alto Networks support guidance).
C) Increase the log retention period in XSIAM. This will ensure more data is available for normalization processing.
D) Reinstall Winlogbeat on the affected Windows servers to ensure the latest configuration. This will force a re-ingestion of data.
E) Scale up the XSIAM Collectors associated with the EDR integration. This will improve processing power for normalization.

2. During the planning phase for Cortex XSIAM agent deployment, a critical requirement is to ensure network connectivity for agents in a highly segmented environment with strict egress policies. Agents need to communicate with the XSIAM cloud, but only through a designated proxy server. Which of the following pre-installation checks and configuration steps are essential to guarantee successful agent registration and operation?

A) Ensure the proxy server has a valid SSL certificate for traffic inspection, and agents are configured to trust the proxy's root CA. No specific agent-side proxy configuration is typically needed.
B) Verify DNS resolution for api.paloaltonetworks.com and ensure direct outbound access on TCP port 443 from all agent subnets.
C) Check for open inbound TCP port 443 on agent endpoints for XSIAM cloud callbacks, and ensure the agent service account has local administrator privileges.
D) Confirm that the proxy server allows traffic to XSIAM cloud URLs (e.g., .xdr. us. security. cortex. paloaltonetworks. corn) on TCP port 443, and configure agent installer flags to specify proxy details during installation.
E) Verify NTP synchronization on all endpoints, and confirm that the XSIAM console can directly ping agent IPs for connectivity testing.

3. An XSIAM engineer is attempting to streamline the incident investigation process by pre-populating incident layouts with dynamically generated dat a. Specifically, for 'Malware Incident' types, they want to display a custom 'Executive Summary' field that aggregates information from various incident fields and artifacts, such as the affected hostname, detected malware family, and initial detection time. This summary needs to be a concise, human-readable paragraph. Which approach best achieves this dynamic pre-population within the incident layout, ensuring maintainability and accuracy?

A) Create a 'Custom Task' in the incident playbook to be completed by an analyst, where the analyst is prompted to manually write the executive summary based on the incident details.
B) Develop a 'Custom Widget' within a Content Pack that queries the XSIAM incident API for relevant data and renders the executive summary, then add this widget to the incident layout.
C) Create a custom 'Executive Summary' field in the incident schema and manually update it via a 'Set Incident' action in a playbook triggered by the incident creation.
D) Define a custom 'Executive Summary' incident field of type 'Markdown' and populate it using a Python script action within a playbook, leveraging f-strings or Jinja2 templating for text generation.
E) Utilize a 'Custom Incident Layout' and for the 'Executive Summary' field, embed an HTML widget that contains a JavaScript function to fetch and format the incident data dynamically on load.

4. An XSIAM customer with a highly sensitive environment requires that certain 'Highly Confidential' alerts (e.g., those involving C-level executives or intellectual property breaches) have their sensitive fields (e.g., 'Internal IP Address', 'Affected Username') automatically masked or red-acted for all analysts, except for a select group of 'Incident Responders' with specific elevated privileges. How can this content optimization be achieved in XSIAM to enforce data confidentiality while maintaining operational efficiency?

A) Use a custom playbook to delete sensitive fields from alerts after a specific time.
B) Implement separate XSIAM instances for sensitive and non-sensitive data.
C) Configure different 'Layout Contexts' for the 'Highly Confidential' alert type. One layout, applied by default, uses 'Field Transformers' or 'Renderers' to mask sensitive fields. A second layout, applied only when a user is part of the 'Incident Responders' group, displays the fields in plain text. This requires careful permission management and potentially custom renderers that check user roles.
D) Manually red-act sensitive information from alert details before assigning to analysts.
E) Encrypt the entire alert data and provide decryption keys only to authorized personnel.

5. An XSIAM engineer is reviewing an existing XQL-based detection rule that uses lookup lists for known malicious IPs. They've identified that the lookup list is frequently updated, causing performance issues when the rule is evaluated. To optimize this, they consider migrating the dynamic IP lookups to a scoring rule. What are the key considerations and potential benefits of this migration for content optimization?

A) This migration allows for the creation of 'compound' scores where the IP reputation is multiplied by the detection rule's base score directly within the lookup list itself.
B) Scoring rules generally have a higher evaluation priority than detection rules, ensuring that the IP reputation check happens first and filters out benign alerts before detection.
C) Scoring rules can inherently handle larger lookup lists more efficiently than detection rules due to dedicated memory allocation for scoring operations.
D) The benefit lies in offloading dynamic enrichment and reputation assignment from the high-volume detection pipeline to the post-detection alert processing. This can improve detection rule performance and maintain a cleaner detection logic.
E) Moving the lookup to a scoring rule will eliminate the need for the lookup list entirely, as scoring rules can directly query external threat intelligence platforms in real-time for every alert.

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