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

1. Your SOC is implementing a new 'Threat Hunting' workflow within XSIAM. For each 'Threat Hunting Result' incident type, analysts need to quickly see: 1) the XQL query that led to the finding, 2) the number of hits for that query, and 3) the top 5 affected assets identified by the query. This data needs to be presented concisely in the incident's summary. You also want to provide a clickable link to re-run the full XQL query directly from the incident. Which of the following content optimization features are essential to achieve this, and why?

A) Creating an XSIAM dashboard specific to threat hunting that shows query results.
B) Storing all threat hunting queries in an external document and manually pasting results into XSIAM.
C) Disabling the default incident summary and forcing analysts to review all raw logs.
D) A custom incident layout for 'Threat Hunting Result' incidents, incorporating a custom field for the XQL query string. Use a 'Link Renderer' to make the query string clickable. For hits and top assets, leverage 'Data Transformers' on other custom fields that execute dynamic XQL sub-queries against the raw logs to derive these values, and then 'Table Renderers' or 'List Renderers' to display the top 5 assets.
E) Utilizing basic custom text fields for all information and relying on manual data entry.

2. A financial institution utilizes Palo Alto Networks XSIAM to manage its attack surface. They have a zero-tolerance policy for shadow IT, particularly unapproved cloud-based development environments. They suspect some developers are provisioning GitHub repositories directly linked to their production cloud accounts without proper oversight. You need to create an XSIAM ASM rule that identifies newly created GitHub repositories that have explicit webhooks configured to sensitive production cloud environments (e.g., an AWS Lambda trigger or Azure Function). Assume XSIAM is ingesting GitHub audit logs and cloud configuration changes.

A)

B)

C)

D) Manually review all new GitHub repositories created each day and cross-reference with cloud resource inventories.
E)

3. An XSIAM Engineer is debugging a sophisticated parsing issue for cloud audit logs ingested via a custom API integration. The logs are JSON, but certain 'details' fields contain nested JSON strings that are not being correctly parsed as objects, but rather as raw strings. The goal is for these nested JSON strings to be parsed into actual JSON objects within XSIAM's schema'. Given a raw log snippet like this:

The 'event_data' field is currently ingested as a string. How can the XSIAM parsing rule be modified to parse "event_data' as a nested JSON object?

A) Change the source API integration to send the 'event_data' field as a pre-parsed JSON object, not a string. This requires source-side modification, which may not be feasible.
B) Within the XSIAM parsing rule for this data source, define the 'event_data' field as type 'JSON' (if supported) or use a 'JSON Extractor' processor specifically on the 'event_data' field to recursively parse its content. This involves specifying 'json_extract: event_data' or similar.
C) The XSIAM schema definition for 'event_data' needs to be changed from string to object. This alone won't parse the string content.
D) Apply a 'mutate' filter in the XSIAM ingestion pipeline to convert the 'event_data' string to a JSON object. This is typically done for simple type conversions, not complex nested parsing.
E) Use a regex in the parsing rule to extract the entire 'event_data' field as a string, then manually write a custom post-processing script to convert it to JSON. This is inefficient.

4. A global conglomerate with operations in multiple geopolitical regions is onboarding XSIAM. Their existing data residency requirements dictate that certain types of security logs from specific regions must not leave those regions, even for cloud-based processing. How can XSIAM's architecture be adapted to meet these stringent data residency and compliance needs, while still providing a unified security posture view?

A) Utilize XSIAM's Data Collectors to perform data filtering and masking at the edge, ensuring only non-sensitive, aggregated metadata is sent to the central XSIAM cloud instance, while raw data remains local.
B) Configure separate XSIAM tenants for each region, each deployed in a specific cloud region compliant with data residency, and then use a federated query mechanism across tenants.
C) Deploy a full XSIAM instance in each region's private cloud to process and store data locally, then use a central XSIAM instance for consolidated reporting.
D) Modify the XSIAM platform code to allow for on-premise data processing modules that communicate with the central cloud control plane.
E) Implement a 'data lake' solution in each region to store all raw logs, then develop custom scripts to selectively push sanitized data to the central XSIAM instance.

5. An e-commerce company is evaluating its existing incident response (IR) procedures and tooling against XSIAM's capabilities. Their current IR process is largely manual, relying on disparate logs from multiple point solutions (SIEM, EDR, Firewall logs) and manual correlation. They use a separate ticketing system (Jira) for incident tracking. How does XSIAM's XDR/SIEM/SOAR convergence benefit this company in improving its IR posture, and what specific steps should be taken during the XSIAM planning phase to maximize these benefits?

A) Benefits: XSIAM replaces Jira and all existing security tools. Planning: Immediately decommission all legacy systems and migrate incident data to XSIAM.
B) Benefits: XSIAM provides an executive dashboard for security metrics. Planning: Configure executive reports to display security posture improvements.
C) Benefits: XSIAM centralizes telemetry, automates correlation, and provides integrated response actions. Planning: (1 ) Map existing IR playbooks to XSIAM's XSOAR capabilities, identifying automation opportunities. (2) Define data ingestion requirements for all relevant security tools (endpoints, network, cloud, identity) to feed (3) Plan for API integrations with existing systems like Jira for bi-directional updates, rather than full replacement.
D) Benefits: XSIAM is a pure SIEM, offering only enhanced log aggregation. Planning: Focus solely on ingesting more log sources into XSIAM for better historical analysis.
E) Benefits: XSIAM is only for network-based threats. Planning: Ensure all network devices are Palo Alto Networks NGFWs for full compatibility.

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