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| Section | Weight | Objectives |
|---|---|---|
| Detection Engineering | 40% | - Creation and tuning of detections and correlation searches - Detection lifecycle management - Incorporating context into detections - Generating effective Notable Events and findings - Risk-based modifiers and detections |
| Auditing and Reporting on Security Programs | 10% | - Dashboard building for program analytics - Security report creation and population - Security metrics development and optimization |
| Automation and Efficiency | 20% | - Response automation using SOAR playbooks - Case management optimization - Automation and orchestration for standard operating procedures - REST API usage and description - Integration and automation capability comparison between Enterprise Security and SOAR |
| Data Engineering | 10% | - Data normalization methods and application - Data review and analysis - Performant data indexing creation and maintenance |
| Building Effective Security Processes and Programs | 20% | - Threat intelligence research, integration and development - Risk and detection prioritization methodologies - Documentation and standard operating procedures development |
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NEW QUESTION # 87
An engineer adds a custom event status of ' Testing ' and accidentally makes it the new default status.
Their SOC calculates some metrics based on Notable status change sequences, starting from the old default status of ' New ' . Which metrics can be affected by this mistake?
Answer: C
Explanation:
The affected metrics are Mean Time to Respond and Mean Time to Resolve because both can depend on the expected lifecycle of a notable beginning in the default New state and progressing through subsequent analyst-handling states.
If Testing is accidentally configured as the default, newly generated notables no longer begin with the status value expected by searches or reports that identify sequences such as:
New # In Progress
or
New # ... # Resolved
As a result, the timestamp used to establish the beginning of the response or resolution interval may be missing from the expected status-change sequence, producing inaccurate, incomplete, or excluded metric calculations.
Dwell Time is different. It measures how long malicious activity remains present or undetected in the environment and is not fundamentally calculated from Enterprise Security notable-status transitions. That eliminates options C and D. Option B is also incorrect because changing a status value relied upon by existing SOC metric searches can directly alter their results.
The supplied guide explicitly emphasizes notable status and ownership as operational SOC measurement fields , supporting the importance of preserving lifecycle-state consistency.
Study Guide topics: notable-event lifecycle, status transitions, Mean Time to Respond, Mean Time to Resolve, SOC metrics, reporting consistency.
NEW QUESTION # 88
Below is an example of a Sysmon process create log. Which EventCode would be associated with this log entry?
Answer: C
Explanation:
A Sysmon Process Create event is identified by Event ID 1 , making EventCode=1 the correct selection.
This event type is among the most important endpoint telemetry sources for detection engineering because it records process execution and provides fields useful for reconstructing process relationships and identifying suspicious command execution.
Typical Process Create telemetry can contain attributes such as the process image, command line, process identifier, parent process, parent command line, user context, hashes, integrity level, and process GUID.
These fields support detections for suspicious scripting interpreters, unusual parent-child relationships, LOLBins, encoded commands, malware execution, and other endpoint behaviors.
The remaining event IDs represent different Sysmon activities. Event ID 2 concerns changes to file creation time, while Event ID 3 represents network connections when that telemetry is enabled. Event ID 4 records changes in the Sysmon service state. None of those describes the process-creation record shown in the question.
Correct event-type interpretation is fundamental to building accurate SPL because filtering on the wrong EventCode can completely change the semantic meaning of a detection.
Study Guide topics: Sysmon telemetry, Event ID 1, process creation, Windows endpoint data, process analytics, event normalization.
NEW QUESTION # 89
In the context of Splunk ' s Common Information Model (CIM), which construct ensures that events from different data sources appear in the applicable data model?
Answer: C
Explanation:
CIM data-model datasets commonly use tags as part of their constraints to identify events belonging to a particular semantic category. Therefore, correctly applying the required tags allows heterogeneous source data to qualify for the applicable CIM dataset.
For example, authentication telemetry may originate from Windows, cloud identity systems, VPN appliances, Linux systems, or other authentication platforms. Their original vendor schemas can differ substantially. CIM provides normalization so those events can participate in a common analytical model. Tags and associated event types help categorize the events so that they meet the constraints of the relevant dataset.
Normalization requires more than tagging alone: fields must also be mapped into expected CIM field names.
However, the question asks which construct ensures events from different sources appear in the applicable data model , and the applicable dataset constraints commonly depend on CIM tags.
Hosts identify systems generating data but do not classify an event into a CIM semantic dataset. Assets provide enrichment rather than dataset membership. Field names normalize event attributes after data is appropriately classified, but they do not replace the tagging mechanism used by dataset constraints.
Study Guide topics: CIM, tags, event types, dataset constraints, data normalization, CIM-compliant ingestion.
NEW QUESTION # 90
Which of the following should an engineer do as they evaluate their Threat Detection and Incident Response lifecycle?
Answer: A
NEW QUESTION # 91
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?
Answer: A
Explanation:
If there is a delay in data being indexed from a remote location, even though the Universal Forwarder (UF) is correctly configured, the issue is likely a queue blockage or network latency.
Steps to Diagnose and Fix Forwarder Delays:
Check Forwarder Logs (splunkd.log) for Queue Issues (A)
Look for messages likeTcpOutAutoLoadBalancedorQueue is full.
If queues are full, events are stuck at the forwarder and not reaching the indexer.
Monitor Forwarder Health Usingmetrics.log
Useindex=_internal source=*metrics.log* group=queueto check queue performance.
NEW QUESTION # 92
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