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NEW QUESTION # 44
When should a detection be reviewed or retuned after deployment?
Answer: D
Explanation:
Detection review and tuning should occur according to the organization ' s established detection lifecycle , rather than only in response to a single symptom or an arbitrary universal interval.
A mature detection lifecycle defines how security content progresses through design, development, testing, deployment, validation, operational monitoring, and subsequent tuning or maintenance. Post-deployment review should consider multiple signals: false-positive volume, unexpected false negatives, changes in telemetry, new application behavior, data-model changes, threat-intelligence developments, ATT & CK coverage requirements, analyst feedback, and changes in the environment.
Option A imposes a fixed 30-day interval without considering the organization ' s lifecycle or risk requirements. A monthly review may be appropriate in a particular program, but it is not universally required.
Option B is too narrow because a detection may require tuning even when false positives are low-for example, if required fields disappear or attacker behavior changes. Option D is similarly incomplete because an absence of findings does not automatically prove that the detection is ineffective.
The supplied material explicitly tests the Detection Development Lifecycle (DDLC) and emphasizes structured detection development rather than ad hoc changes.
Study Guide topics: DDLC, detection validation, post-deployment tuning, lifecycle governance, false- positive management, detection maintenance.
NEW QUESTION # 45
In which threat intelligence KV store would a list of malicious domains (FQDNs) be stored?
Answer: B
Explanation:
A list of malicious domains (FQDNs) would be stored in the http_intel KV store within Splunk Enterprise Security. This KV store is specifically designed for HTTP-based threat intelligence indicators such as domains and URLs.
NEW QUESTION # 46
What Splunk feature is most effective for managing the lifecycle of a detection?
Answer: B
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 # 47
Which Enterprise Security components provide enrichment to the Risk Framework?
Answer: C
Explanation:
The Risk Framework can be enriched through the Assets & Identities Framework, Risk Factoring, and Annotations , making option A the correct combination.
The Assets & Identities Framework contributes organizational context about entities represented by risk objects. For example, a destination system may be identified as highly critical, or a user may belong to a privileged identity category. That context allows the same underlying behavior to be interpreted differently depending on the entity involved.
Risk Factors provide a mechanism for modifying risk according to contextual conditions. A detection may assign a baseline risk score, while a Risk Factor increases or otherwise adjusts the effective risk when characteristics of the affected user or asset justify higher concern.
Annotations provide structured metadata describing the detection and its security meaning, such as mappings to relevant adversary techniques or other analytical context. This makes accumulated risk more understandable and useful to analysts.
A risk object is the entity receiving risk rather than an enrichment mechanism. Data models provide normalized data structures, and the notable framework concerns analyst-facing security events rather than the complete enrichment set requested here.
Study Guide topics: Risk Framework; Assets & Identities; Risk Factors; annotations; contextual enrichment; risk objects; RBA.
NEW QUESTION # 48
When creating a case in Splunk SOAR, which action should be taken to correlate various findings (risk notables) to ensure all are actioned?
Answer: C
Explanation:
The correct approach is to search Enterprise Security for all related events using the significant fields in the risk notable , review those results, and determine which findings should be incorporated into the active investigation. This makes D more complete than simply searching for duplicate values of risk_object or threat_object.
Risk-based detections often aggregate multiple behavioral observations around an entity such as a user, host, or other risk object. A single investigation may therefore involve several risk notables representing different behaviors, techniques, or stages of activity. Correlating only on risk_object can be too restrictive or produce misleading associations because the analyst also needs relevant event context and other identifying fields.
The workflow described by D supports the investigation objective: locate related security events , assess their contextual relationship, and deliberately merge the appropriate findings into the current case so that they are tracked and actioned together.
The uploaded study-guide extract does not contain this exact question, so this selection is based on the Enterprise Security/SOAR case-correlation workflow represented by the terminology in the question.
Study Guide topics: investigation management, risk notables, risk objects, case correlation, SOAR case handling, finding aggregation.
NEW QUESTION # 49
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