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購買後，立即下載 XSIAM-Engineer 題庫 (Palo Alto Networks XSIAM Engineer): 成功付款後, 我們的體統將自動通過電子郵箱將您已購買的產品發送到您的郵箱。（如果在12小時內未收到，請聯繫我們，注意：不要忘記檢查您的垃圾郵件。）

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

1. A company is integrating a custom-developed application that produces logs in a proprietary JSON format. They need these logs ingested into Cortex XSIAM via a Broker VM. The JSON structure is complex and includes nested objects and arrays. To ensure proper parsing and normalization of these logs within XSIAM, what specific configurations are required on the Broker VM, and what considerations are paramount for the log format itself?

A) Convert the proprietary JSON into CEF format using a custom script on the application server before sending it to the Broker VM via syslog or HTTP.
B) Configure a syslog profile on the Broker VM to receive the JSON data over UDP 514, and XSIAM will automatically parse any JSON structure.
C) Install a lightweight agent on the application server that uses the XSIAM API to directly push the JSON logs, bypassing the Broker VM entirely.
D) On the Broker VM, enable the 'HTTP Listener' for Universal Data Collector, define a specific endpoint for the JSON data, and prepare a Parsing Rule within the Cortex XSIAM console to extract relevant fields from the JSON.
E) The application must send the JSON data via HTTPS to the Broker VM's XDR Agent port, and the Broker VM automatically maps JSON fields to XSIAM schema.

2. You are responsible for a large XSIAM deployment with Broker VMS deployed across multiple on-premises data centers, behind firewalls and proxies. You receive a critical security bulletin from Palo Alto Networks regarding a vulnerability in a specific Broker VM firmware version, requiring an immediate update to version 2.1.3. However, your internal change management policy mandates a maximum 2-day outage window for all non-critical updates. You need to identify the potential bottlenecks and a strategy to minimize downtime while ensuring the update's success. Which of the following considerations and actions are crucial for a successful, low- downtime Broker VM firmware update in this scenario? (Select all that apply)

A) Back up the Broker VM configuration and take a snapshot of the virtual machine before initiating the firmware update to facilitate quick recovery in case of an unforeseen issue.
B) Pre-download the Broker VM firmware image to a local, accessible server within each data center to bypass potential internet bandwidth or proxy issues during the update.
C) Ensure that redundant Broker VMS are deployed in each data center and update them sequentially (e.g., one at a time) to maintain continuous data ingestion and minimize service disruption.
D) Temporarily disable all XDR Agents reporting to the Broker VMS to prevent data loss during the update process and re-enable them after successful completion.
E) Verify network connectivity and firewall rules from each Broker VM to the XSIAM cloud update servers before initiating the update, specifically checking for newly introduced FQDNs or ports in the 2.1.3 release notes.

3. An XSIAM deployment utilizes a robust custom role definition for its 'Threat Hunter' team. This role grants access to specific XQL queries, Alert Management, and Incident Management. However, a new compliance mandate requires that 'Threat Hunters' must NOT be able to export any raw log data from XSIAM, even if they can view it within the console. How would you enforce this granular restriction within XSIAM's RBAC model?

A) Create a new XSIAM tenant specifically for 'Threat Hunters' with no export capabilities, and restrict their access to the main tenant.
B) Modify the underlying XSIAM database schema to disable export functionalities for specific user groups.
C) Remove the 'Export Data' permission from the 'Threat Hunter' custom role definition. This permission is typically a distinct capability that can be toggled.
D) Implement a Data Loss Prevention (DLP) policy on the network perimeter to block XSIAM data exports for 'Threat Hunter' users.
E) Configure XSIAM's data retention policies to automatically purge raw logs for 'Threat Hunter' users after a short period.

4. A multinational corporation operates Palo Alto Networks XSIAM with data ingestion from various geopolitical regions, each subject to strict data residency and sovereignty laws. This necessitates that data generated in a specific region must be processed and stored exclusively within that region. How does this regulatory requirement impose specific hardware and architectural constraints on the XSIAM deployment?

A) Each geopolitical region requires a completely independent, physically isolated XSIAM cluster with its own dedicated hardware infrastructure, including compute, storage, and networking, ensuring no cross-border data flow.
B) Utilizing a distributed XSIAM architecture where data ingestion nodes are geographically dispersed, but a centralized analytics cluster can be located in any region as long as the data is encrypted.
C) Data residency is primarily addressed by configuring XSIAM's internal data routing policies and does not significantly impact underlying hardware choices, assuming sufficient global bandwidth.
D) Implementing hardware-level encryption at rest and in transit for all data within XSIAM cluster nodes, irrespective of their physical location, to meet data sovereignty laws.
E) The organization must leverage a multi-cloud strategy, deploying XSIAM instances in cloud regions that align with data residency requirements, and utilize cloud provider's native hardware for performance.

5. An XSIAM Playbook needs to determine if an observed file hash is part of a known good whitelist before submitting it to a sandboxing service. The whitelist is a large, dynamically updated list stored in an external S3 bucket. Due to the size and dynamic nature, it cannot be directly embedded or frequently fetched entirely within the Playbook. How can the Playbook efficiently and securely check if a specific hash exists in this remote whitelist without incurring excessive API calls or processing overhead within the Playbook itself?

A) Add a 'Manual Review' task to have a human analyst manually check the hash against the S3 whitelist.
B) Store the whitelist in a 'Lookup List' within XSIAM and periodically update it via an external script, then use a 'Conditional' task to check against the 'Lookup List'.
C) Use the 'Fetch File Sample' task to download the entire S3 bucket whitelist, then iterate through it using a 'Loop' task and 'Conditional' checks.
D) Utilize an 'Execute XQL Query' task to directly query the S3 bucket using a specialized XQL connector for external data sources.
E) Configure a 'Generic API Call' task to query a custom Lambda/Azure Function API Gateway endpoint. This endpoint would receive the hash, check it against the S3 whitelist, and return a boolean result.

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