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NEW QUESTION # 32
The SOC manager has a desire to measure mean time to acknowledge finding (notable event) in order to meet a desired service-level objective. Which two fields can be used to measure the difference?
Answer: D
Explanation:
Status and Owner are the operational fields most directly associated with determining whether a finding has entered active analyst handling. Mean Time to Acknowledge (MTTA) measures the elapsed time between creation of a security finding and the point at which the SOC acknowledges and assumes responsibility for it.
Within an incident-management workflow, assigning an owner indicates analyst responsibility, while a status transition records progression through the handling lifecycle. These changes can therefore be used as workflow evidence when constructing SOC service-level measurements and determining whether findings are being acknowledged within the organization ' s expected response interval.
Urgency and severity describe prioritization characteristics rather than whether an analyst has actually taken ownership. Likewise, user normally describes an entity involved in the underlying security activity and does not represent the analyst responsible for the finding.
From a program-management perspective, MTTA should be distinguished from detection time, investigation duration, containment time, and Mean Time to Resolve/Respond. Each measures a different operational stage.
Reliable status and ownership data therefore become important for SOC performance reporting and SLA/SLO auditing.
Question 10 appears on page 3 of the supplied material.
Study Guide topics: SOC metrics, MTTA, finding/notable management, status, ownership, service-level objectives, security-program reporting.
NEW QUESTION # 33
When creating detections, which of the following sequences would result in the most performant SPL query?
Answer: B
Explanation:
The most performant SPL query sequence is:
Define base query → Minimize data → Combine/Summarize data → Execute calculations → Format the data.
Minimizing the data early (using filters, time constraints, and field limitations) reduces the dataset before expensive operations like summarization or calculations, resulting in optimal performance.
NEW QUESTION # 34
What Splunk feature is most effective for managing the lifecycle of a detection?
Answer: D
Explanation:
Why Use "Content Management in Enterprise Security" for Detection Lifecycle Management?
The detection lifecycle refers to the process of creating, managing, tuning, and deprecating security detections over time. In Splunk Enterprise Security (ES), Content Management helps security teams:
#Create, update, and retire correlation searches and security content#Manage use case coverage for different threat categories#Tune detection rules to reduce false positives#Track changes in detection rules for better governance
#Example in Splunk ES:#Scenario: A company updates its threat detection strategy based on new attack techniques.#SOC analysts use Content Management in ES to:
Review existing correlation searches
Modify detection logic to adapt to new attack patterns
Archive outdated detections and enable new MITRE ATT&CK techniques
Why Not the Other Options?
#A. Data model acceleration - Improves search performance but does not manage detection lifecycles.#C.
Metrics indexing - Used for time-series data (e.g., system performance monitoring), not formanaging detections.#D. Summary indexing - Stores precomputed search results but does not control detection content.
References & Learning Resources
#Splunk ES Content Management Documentation: https://docs.splunk.com/Documentation/ES#Best Practices for Security Content Management in Splunk ES: https://www.splunk.com/en_us/blog/security#MITRE ATT&CK Integration with Splunk: https://attack.mitre.org/resources
NEW QUESTION # 35
Based on a recent red team exercise, an organization is highly concerned about pass the hash attacks especially including tools like Empire. Which Eventcode associated to PowerShell Script Block Logging would be used to detect this activity?
Answer: C
Explanation:
EventCode=4104 is associated with PowerShell Script Block Logging, which records the full content of executed PowerShell scripts. This is critical for detecting malicious frameworks like Empire that rely on PowerShell for pass-the-hash and other attack techniques.
NEW QUESTION # 36
In a Risk-Based Alerting implementation with Splunk Enterprise Security, which of the following best describes a risk factor?
Answer: B
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 # 37
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