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NEW QUESTION # 22
What is the main benefit of automating case management workflows in Splunk?
Answer: D
Explanation:
Automating case management workflows in Splunk streamlines incident response and reduces manual overhead, allowing analysts to focus on higher-value tasks.
Main Benefits of Automating Case Management:
Reduces Response Times (C)
Automatically assigns cases to analysts based on predefined rules.
Triggers playbooks and workflows in Splunk SOAR to handle common incidents.
Improves Analyst Productivity (C)
Reduces time spent on manual case creation and updates.
Provides integrated case tracking across Splunk and ITSM tools (e.g., ServiceNow, Jira).
NEW QUESTION # 23
The Director of Security would like to understand the operational efficiency of the SOC analysts at a high level. What is a metric that can be used to determine their efficiency?
Answer: C
Explanation:
MTTR - Mean Time to Respond/Resolve - is the most appropriate high-level indicator of SOC analyst operational efficiency among the choices provided. It measures how quickly the SOC progresses from identification of an actionable security condition through investigation and response or resolution, depending on the organization ' s specific MTTR definition.
MTTD, or Mean Time to Detect, primarily measures detection capability and telemetry/detection-engineering effectiveness rather than analyst processing efficiency. A strong SOC could have excellent analyst workflows yet still exhibit a high MTTD if telemetry coverage or detection content is weak. MTBR is generally associated with reliability or recurrence-oriented measurements and is not the primary SOC analyst efficiency metric. MTTI can measure investigation duration in some organizations, but MTTR provides the broader executive-level operational indicator requested by the question.
For leadership reporting, MTTR is most useful when segmented by severity, incident class, team, or reporting period; a single aggregate average can otherwise be distorted by extreme cases. The supplied Cybersecurity Defense Engineer material emphasizes measurable SOC lifecycle metrics and distinguishes operational performance indicators from simple activity counts.
Study Guide topics: SOC performance metrics, operational efficiency, MTTR, incident lifecycle measurement, security-program reporting.
NEW QUESTION # 24
In Enterprise Security, what is the name of the threat intelligence lookup pertaining to files?
Answer: B
Explanation:
In Splunk Enterprise Security, the file_intel lookup is used for threat intelligence related to files, such as file hashes or suspicious file indicators. This lookup allows correlation searches and risk scoring to incorporate known malicious file information.
NEW QUESTION # 25
An engineer creates a new event type. What defines the association of this event type to an applicable data model?
Answer: B
Explanation:
The tag or tags assigned to an event type establish its semantic association with the appropriate Common Information Model data-model dataset. Splunk CIM commonly uses event types together with tags to classify heterogeneous events into standardized categories.
An event type itself is defined by a search expression that identifies matching events, but the search string does not by itself establish CIM data-model membership. After the event type has been created, the appropriate CIM tag-such as one representing authentication, network traffic, change activity, or another normalized domain-is applied. Data-model dataset constraints can then recognize events carrying the required tag.
Field aliases serve a different purpose: they map source-specific field names to normalized CIM field names.
They are essential for schema normalization but do not determine the event type ' s association with a data model. Similarly, a saved-search name has no role in assigning CIM dataset membership.
The supplied Cybersecurity Defense Engineer material explicitly tests the same architectural concept by identifying tags as the construct that ensures events from different sources participate in an applicable CIM data model.
Study Guide topics: CIM, event types, tags, data-model constraints, field normalization, CIM dataset membership.
NEW QUESTION # 26
Which tool can help provide a baseline of the data sources in a given Splunk environment?
Answer: A
Explanation:
Splunk Security Essentials Data Inventory is designed to help security engineers understand what security- relevant data is present in a Splunk deployment, making it the appropriate tool for establishing a baseline of available data sources .
A data inventory is fundamental to detection engineering because detection coverage is constrained by telemetry availability. Before implementing analytics for authentication, endpoint behavior, network traffic, DNS, cloud activity, or other threat behaviors, an engineer must determine which sources are currently ingested and whether they provide the fields required by the desired detections. Data Inventory assists with that visibility and supports identification of telemetry gaps.
Enterprise Security Content Update is primarily associated with distributing and maintaining security content rather than inventorying the environment ' s data sources. Analytic Stories organize related security detections and supporting content around attack behaviors or use cases, but they are not the primary capability for creating an environmental data-source baseline. "Enterprise Security Data Library" is not the data- inventory capability being tested.
This exact question is not included in the supplied 60-question PDF, so the selection is based on the Splunk Security Essentials product terminology used in the question.
Study Guide topics: data-source inventory, telemetry baselining, Splunk Security Essentials, detection prerequisites, coverage-gap analysis.
NEW QUESTION # 27
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