Palo Alto Networks XSIAM-Engineer 問題集

質問 1：
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. 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.
B. 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.
C. 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.
D. 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.
E. 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.
正解：A,B,C,D
解説: (Topexam メンバーにのみ表示されます)

質問 2：
A financial institution is evaluating its existing identity and access management (IAM) infrastructure for XSIAM integration. They utilize Microsoft Active Directory Federation Services (AD FS) for on-premise application authentication, Okta for cloud application SSO, and a custom LDAP directory for legacy systems. What is the MOST effective strategy for this institution to ensure comprehensive identity telemetry collection for XSIAM, and what is a potential pitfall to avoid?
A. Strategy: Deploy XSIAM Data Collectors (XSIAM_DC) on-premise to ingest logs from AD FS event logs, directly integrate Okta via API, and configure LDAP forwarding from the custom directory. Pitfall: Ensuring proper log normalization and field mapping across disparate identity sources.
B. Strategy: Implement a Security Information and Event Management (SIEM) solution as an intermediary to collect all identity logs, then forward a summarized feed to XSIAM. Pitfall: Adding an unnecessary layer of complexity and potential latency for real-time analysis.
C. Strategy: Configure each application to directly forward authentication logs to XSIAM via syslog. Pitfall: Managing syslog configurations across a large number of applications and potential data loss.
D. Strategy: Consolidate all identity sources into a single Azure AD instance, then integrate Azure AD with XSIAM. Pitfall: Data migration complexity and potential downtime during consolidation.
E. Strategy: Utilize XSIAM's built-in User-ID agent to pull user mappings from all identity sources directly. Pitfall: Over-reliance on User-ID for full authentication details rather than just IP-to-user mapping.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 3：
A critical XSIAM dashboard relies on data from a custom application data source. Users report that recent data points on the dashboard are inconsistent, showing sudden drops or spikes that don't align with the application's behavior. Upon inspecting the raw logs in XSIAM for the affected period, it's observed that a non-standard value, 'N/A', is appearing in a numeric field ('transaction_value') which should only contain decimal numbers. This 'N/A' is causing downstream aggregations to fail or return incorrect results. What is the most robust way to handle this data quality issue within XSIAM's ingestion pipeline?
A. Scale up the XSIAM Data Lake nodes to improve indexing performance, which might implicitly fix data type issues. This is unrelated to data content validation.
B. Implement a 'mutate or 'replace' operation within the XSIAM parsing rule or a post-parsing normalization step to convert 'N/A' to 'null' or for the 'transaction_value' field, ensuring it's treated as a numeric type. This needs to occur before indexing.
C. Modify the XSIAM query used by the dashboard to filter out events where 'transaction_value' is 'N/A'. This addresses the dashboard view but not the underlying data quality in the index.
D. Change the schema of the 'transaction_value' field from 'number' to 'string' in XSIAM. This would allow 'N/A' but prevent numeric operations.
E. Contact the application development team to ensure they stop sending 'N/A' in numeric fields. This is the ideal long-term solution but doesn't fix existing or immediate data.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 4：
When a Cortex XSIAM playbook execution reaches a breakpoint on a non-manual task, which two actions will allow the playbook to continue? (Choose two.)
A. Click Run Script Now or Complete Manually.
B. Wait for all parallel tasks to be completed before the breakpoint task resumes automatically.
C. Disable the breakpoint and rerun the playbook from the start.
D. Skip the task with the breakpoint to let the playbook proceed automatically.
正解：A,D
解説: (Topexam メンバーにのみ表示されます)

質問 5：
Consider a large enterprise with a complex Cortex XSIAM deployment involving multiple on-prem collectors and integrations, and numerous custom playbooks. The security operations center (SOC) reports that for the past week, the XSIAM dashboard's 'Attacker Focus' widget is consistently showing 'No Data Available' or outdated information, even though new incidents are being generated and observed in the 'All Incidents' view. Basic checks confirm collectors are online and ingesting data'. Which of the following is the most advanced and holistic troubleshooting approach to resolve this issue?
A. Examine the 'Data Source' logs in XSIAM to identify any errors specific to the parsing or normalization of threat-related indicators.
B. Review the health and performance metrics of the XSIAM backend services responsible for data aggregation and analytics, typically visible in the XSIAM 'System Health' dashboard (if available to administrators).
C. Create a new custom dashboard with the same widgets to see if the issue persists on a fresh configuration.
D. Verify that the XSIAM roles assigned to SOC analysts include permissions to view 'Attacker Focus' data.
E. Check the XSIAM incident schema for any recent custom field additions or modifications that might conflict with the 'Attacker Focus' data model.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 6：
An organization is migrating from a legacy SIEM to XSIAM. They have a complex network infrastructure with multiple data centers and cloud environments, generating petabytes of logs daily from various sources including firewalls, servers, endpoints, and cloud services.
They also use a Security Orchestration, Automation, and Response (SOAR) platform for existing playbooks. The migration strategy requires a phased approach: initial data ingestion without disruption, followed by migrating existing SOAR playbooks and developing new ones in XSIAM. Which of the following sets of XSIAM components and integration considerations are critical for a successful, high- volume migration and automation capability transfer?
A. Forward all logs from legacy SIEM to XSIAM via syslog. Configure XSIAM to use its generic parsers for all data types. For SOAR migration, use a third-party migration tool to convert existing SOAR workflows directly into XSIAM playbooks.
B. Utilize XSIAM Data Brokers deployed strategically across data centers and cloud VPCs for high-throughput ingestion. Prioritize onboarding critical data sources first using native connectors where available, and implement custom parsers for unique formats. For SOAR migration, manually rewrite existing playbooks as XSIAM playbooks and re-map integrations to XSIAM's native actions.
C. Deploy XSIAM Agents on all servers and endpoints for data collection. Ingest cloud logs using cloud-native services forwarding to XSIAM. For SOAR migration, continue using the legacy SOAR platform and integrate it with XSIAM using XSIAM's 'External Playbook' capability, triggering legacy playbooks from XSIAM incidents.
D. Deploy XSIAM Log Collectors on premises and in the cloud for all data ingestion, ensuring network connectivity to all sources. Focus on creating an exhaustive list of custom parsers for every log type. For SOAR migration, identify common SOAR actions and build a comprehensive library of reusable XSIAM playbook snippets to facilitate quick recreation.
E. Ingest all historical data first from the legacy SIEM using batch imports into XSIAM Data Lake. For live data, use a single centralized XSIAM Broker. For SOAR migration, leverage XSIAM's open API to build custom adapters that translate legacy SOAR actions to XSIAM actions, and integrate via messaging queues.
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 7：


A. Option E
B. Option A
C. Option C
D. Option D
E. Option B
正解：E

質問 8：
During a new Cortex XSIAM deployment, a user consistently experiences timeout sessions while trying to connect to the agent through Live Terminal, even though the firewall engineer has confirmed that all source IP addresses, port 443, and destinations are allowed.
What could be causing these persistent timeout issues?
A. Live Terminal feature is not supported on the current OS.
B. NTP is not synchronized with the server time.
C. SSL Decryption is currently being used to inspect the underlying traffic.
D. User does not have administrative privileges on the managed endpoint.
正解：C
解説: (Topexam メンバーにのみ表示されます)