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| Section | Weight | Objectives |
|---|---|---|
| Threat Detection and Hunting | 25-30% | - Adversarial tactics, techniques, and procedures (ATT&CK) - Notable events and risk analysis - Creating and modifying detections - Using Splunk ES threat intelligence - Proactive threat hunting methodologies - Search and detection frameworks |
| Splunk SOAR for Security Automation | 10-15% | - SOAR and ES integration - SOAR platform fundamentals - Incident response automation - Automation workflows and integrations - Creating and managing playbooks |
| Splunk Enterprise Security Administration | 10-15% | - Performance tuning and optimization - User management and authentication - Backup and recovery procedures - ES content management - ES upgrade and maintenance |
| Splunk Enterprise Security (ES) Configuration | 20-25% | - ES dashboards and navigation - ES deployment and architecture - Configuring data inputs and normalization - Managing asset and identity correlation - Incident review and management |
| Incident Response and Investigation | 20-25% | - Timeline reconstruction - Using correlation searches for investigation - Malware analysis and forensics - Investigation best practices - Incident response workflows - Container and cloud environment investigation |
| Security Operations Center (SOC) Fundamentals | 10-15% | - SOC roles and responsibilities - Alert triage workflow - Security monitoring concepts - SIEM architecture in Splunk |
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問題 #27
During a high-priority incident, a user queries an index but sees incomplete results.
Whatis the most likely issue?
答案：D
解題說明：
If a user queries an index during a high-priority incident but sees incomplete results, it is likely that the indexers are overloaded, causing queue bottlenecks.
Why Indexer Queue Capacity Issues Cause Incomplete Results:
When indexing queues fill up, incoming data cannot be processed efficiently.
Search results may be incomplete or delayed if events are still in the indexing queue and not fully written to disk.
Heavy search loads during incidents can also increase pressure on indexers.
How to Fix It:
Monitor indexing queues via the Monitoring Console (indexing>indexing performance).
Checkmetrics.logon indexers formax_queue_size_exceededwarnings.
Increase indexer capacity or optimize search scheduling to reduce load.
問題 #28
If a correlation search cannot be run at the configured time, which scheduling option should an engineer use to ensure there are no backfill gaps in data?
答案：D
解題說明：
The Continuous scheduling option ensures that if a correlation search is delayed or cannot run at its scheduled time, Splunk will still execute it later and cover the missed time range. This prevents backfill gaps in data and ensures no events are overlooked.
問題 #29
Which stash event field created by an adaptive response action allows for troubleshooting the correlation search that created the notable event?
答案：B
解題說明：
The search_sid field in a stash event is created by an adaptive response action and points back to the search job ID of the correlation search that generated the notable. This allows analysts to troubleshoot by reviewing the exact search execution and results.
問題 #30
What field is used by default to direct data into CIM data model datasets?
答案：C
解題說明：
The default mechanism represented by the question is the tag field. CIM data-model datasets use constraints that commonly depend on tags applied through event types and other Splunk knowledge objects to determine whether events belong to a particular semantic dataset.
For example, events associated with a particular CIM category can be tagged so that the corresponding dataset constraint recognizes them. The underlying vendor data may originate from many different sourcetypes, but the CIM abstraction allows all correctly classified and normalized records to participate in a common data model.
A sourcetype remains extremely important because it identifies the format and parsing context of indexed data, but CIM is intentionally designed to support multiple vendors and sourcetypes within the same semantic dataset. Consequently, sourcetype alone is not the default abstraction requested here. source identifies the origin of data and similarly does not define CIM dataset membership. dataset is not the event field used by default for this routing behavior.
Correct tagging must be combined with proper CIM field normalization for downstream searches to produce meaningful standardized results.
Study Guide topics: CIM tags, dataset constraints, event types, CIM normalization, data-model membership, sourcetypes.
問題 #31
While working with the SOC analysts to review current contextualization processes, a request for automation has been raised by the SOC team. They are asking for a new automation that will check a potentially malicious URL against a remote URL filtering list. Which of the following options will work for them?
答案：D
解題說明：
Both an Adaptive Response Action and an Input Playbook can support this contextualization requirement, so B is the best answer.
An Adaptive Response Action can be invoked from Enterprise Security when a detection or finding is generated. It can pass a URL or other observable into an integrated action that queries an external reputation, filtering, or analysis service. This works well when contextualization should occur automatically as part of the detection workflow.
An Input Playbook provides another valid implementation. It can receive a URL as structured input from Enterprise Security or Mission Control and then perform the remote lookup through a SOAR asset/API integration. The supplied guide specifically establishes that an Input playbook is the playbook type used when a workflow must be called directly from Mission Control or Enterprise Security. It also demonstrates URL contextualization through REST-based submission to an external analysis service.
Because both mechanisms can perform the requested external URL check, selecting only C or D is unnecessarily restrictive.
Study Guide topics: contextualization, Adaptive Response Actions, Input Playbooks, SOAR integrations, REST APIs, URL enrichment, automated analyst workflows.
問題 #32
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