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| Section | Weight | Objectives |
|---|---|---|
| Splunk Enterprise Security (ES) Configuration | 20-25% | - ES dashboards and navigation - ES deployment and architecture - Incident review and management - Managing asset and identity correlation - Configuring data inputs and normalization |
| Splunk SOAR for Security Automation | 10-15% | - Automation workflows and integrations - SOAR and ES integration - SOAR platform fundamentals - Creating and managing playbooks - Incident response automation |
| Incident Response and Investigation | 20-25% | - Container and cloud environment investigation - Using correlation searches for investigation - Malware analysis and forensics - Investigation best practices - Incident response workflows - Timeline reconstruction |
| Splunk Enterprise Security Administration | 10-15% | - ES upgrade and maintenance - ES content management - Backup and recovery procedures - Performance tuning and optimization - User management and authentication |
| Security Operations Center (SOC) Fundamentals | 10-15% | - Alert triage workflow - SOC roles and responsibilities - Security monitoring concepts - SIEM architecture in Splunk |
| Threat Detection and Hunting | 25-30% | - Using Splunk ES threat intelligence - Creating and modifying detections - Adversarial tactics, techniques, and procedures (ATT&CK) - Search and detection frameworks - Notable events and risk analysis - Proactive threat hunting methodologies |
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NEW QUESTION # 90
Which of the following actions will allow access to a list of alert actions via the API?
Answer: A
Explanation:
The correct REST endpoint to list available alert actions in Splunk is | rest
/services/alerts/alert_actions
This returns details of all configured alert actions, allowing engineers to view and manage them through the API.
NEW QUESTION # 91
What Splunk process ensures that duplicate data is not indexed?
Answer: D
Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.
NEW QUESTION # 92
In the context of Splunk's Common Information Model (CIM), which constraint ensures that events from different data sources appear in the applicable data model?
Answer: C
Explanation:
In Splunk's Common Information Model (CIM), tags are the constraint that ensures events from different data sources are mapped into the correct data model. By applying consistent tags (e.g., authentication, email, network), CIM can normalize diverse data sources into a unified schema.
NEW QUESTION # 93
In a Risk-Based Alerting implementation with Splunk Enterprise Security, which of the following best describes a risk factor?
Answer: C
Explanation:
A Risk Factor is best characterized as a multiplier of risk based on contextual characteristics of a specific user or asset . It allows Enterprise Security to adjust the significance of an otherwise identical security observation depending on the entity involved.
Suppose a detection normally produces a risk score representing suspicious authentication behavior. If the affected host is an ordinary workstation, the base score may appropriately represent its significance. If the same activity affects a domain controller, highly sensitive database, privileged administrator, or other critical entity, a Risk Factor can increase the resulting risk so that the situation receives greater analytical priority.
This enables organizations to incorporate business context into Risk-Based Alerting without duplicating detection logic for every asset category. The detection identifies the behavior; the Risk Factor modifies its importance according to contextual conditions.
A Risk Factor is not itself simply another risk event, nor is its purpose to accelerate a data model. It is also unrelated to a SOAR action generated from detection annotations. Its role is contextual adjustment of risk , supporting more meaningful aggregation and escalation.
Study Guide topics: Risk-Based Alerting; Risk Factors; risk multiplication; asset criticality; identity context; risk prioritization.
NEW QUESTION # 94
What can an engineer use to capture contextual values from a dashboard and create a drilldown to link to a new search?
Answer: D
Explanation:
Splunk dashboards use tokens to capture and pass contextual values between dashboard elements, user interactions, and drilldown destinations. Therefore, tokens are the mechanism an engineer can use when a user selects a visualization element and the resulting value must be inserted into another search.
A token can represent contextual information derived from an interaction-for example, a selected host, username, source IP, destination, process, or time range. A drilldown can then use that value to construct a more focused search. Conceptually, a dashboard could capture a selected src value and pass it to a destination search so the analyst moves directly from an aggregate visualization to events associated with that source.
This design improves investigation efficiency because the analyst does not need to manually copy values from one interface into another search. It also preserves analytical context as the user moves from summary information to detailed evidence.
Aliases concern alternate representations of fields; environment variables are not the standard dashboard mechanism for passing selected visualization context; and JSON may define dashboard structures but is not itself the contextual-value mechanism being tested.
Study Guide topics: dashboard tokens, drilldowns, contextual searches, analyst workflow, dashboard interactivity, investigation efficiency.
NEW QUESTION # 95
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