To disable a saved search (detection) via the Splunk REST API, the correct syntax is a POST request to the .../disable endpoint. Thus, the proper cURL command is curl -k -u admin:pass
https://localhost:8089/servicesNS/admin/search/saved/searches/TestSearchDevelopment/disable
-X POST

Why Maintain a Detection Lifecycle?
Adetection lifecycleensures that security alerts, correlation searches, and automation playbooks arecontinuously refinedto maintainaccuracy, efficiency, and relevanceagainst modern threats.
#1. Detecting and Eliminating Outdated Searches (Answer A)#Removes unnecessary or redundant correlation searchesthat may slow down performance.#Prevents false positivescaused by outdated detection logic.
#Example:A Splunk ES search for anold malware variantmay no longer be effective # it should be updated to detectnew techniques used by attackers.
#2. Ensuring Detections Remain Relevant to Evolving Threats (Answer C)#Regular updatesensure thatnew MITRE ATT&CK techniquesand threat indicators are included.#Example:If attackers start usingLiving-off- the-Land (LotL) techniques, security teams mustupdate detection rules to identify suspicious PowerShell activity.
Why Not the Other Options?
#B. Scaling the Splunk deployment effectively- Lifecycle management improvesdetection accuracy, notinfrastructure scalability.#D. Automating the deployment of new detection logic- Automation helps, but lifecycle management isabout reviewing and updating detections, not just deployment.
References & Learning Resources
#Detection Management in Splunk ES: https://docs.splunk.com/Documentation/ES#Updating Threat Detections Using MITRE ATT&CK in Splunk: https://attack.mitre.org/resources#Best Practices for SOC Detection Engineering: https://splunkbase.splunk.com

In Splunk, an event type is associated with a CIM data model through its tag(s). Tags determine which events qualify for inclusion in a specific data model, enabling normalization and alignment with CIM for consistent detections and reporting.

If the network telemetry is already ingested and correctly mapped to CIM, the remaining configuration relevant to this dashboard is acceleration of the Network Traffic data model . Enterprise Security dashboards and searches can depend on accelerated data models so that large volumes of normalized security telemetry can be queried efficiently.
Data-model acceleration creates summarized structures that commands such as tstats can search much more efficiently than repeatedly scanning underlying raw events. Consequently, a dashboard built against an accelerated CIM data model may fail to provide the expected results when acceleration is disabled, incomplete, or otherwise unavailable even though raw CIM-compliant events exist.
The question specifically concerns traffic over time by action , making the Network Traffic data model the relevant CIM domain. The Performance data model is unrelated, and Network Sessions is not the applicable model identified by the requested network-traffic visualization.
Troubleshooting should therefore follow the data pipeline logically: confirm ingestion, validate sourcetypes and field normalization, validate tags and CIM membership, then verify the required data-model acceleration and summary coverage.
Study Guide topics: Network Traffic data model, CIM, data-model acceleration, tstats, Enterprise Security dashboards, troubleshooting.

MTTR (Mean Time to Resolution/Recovery/Respond) measures how long it takes to fully complete an investigation or resolve an incident. This is the key metric for tracking investigation completion time in SOC performance dashboards.