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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Automation and Efficiency | 20% | - Case management optimization - Integration and automation capability comparison between Enterprise Security and SOAR - Response automation using SOAR playbooks - Automation and orchestration for standard operating procedures - REST API usage and description |
| Topic 2: Data Engineering | 10% | - Performant data indexing creation and maintenance - Data normalization methods and application - Data review and analysis |
| Topic 3: Auditing and Reporting on Security Programs | 10% | - Security metrics development and optimization - Security report creation and population - Dashboard building for program analytics |
| Topic 4: Detection Engineering | 40% | - Creation and tuning of detections and correlation searches - Risk-based modifiers and detections - Detection lifecycle management - Incorporating context into detections - Generating effective Notable Events and findings |
| Topic 5: Building Effective Security Processes and Programs | 20% | - Risk and detection prioritization methodologies - Threat intelligence research, integration and development - Documentation and standard operating procedures development |
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25. Frage
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?
Antwort: B
Begründung:
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.
26. Frage
Based on this example image, if it is detected that a member has been added to a security-enabled local group, how many risk events will be created?
Antwort: D
Begründung:
The configuration shown contains two separate Risk Modifiers , so a single detection result will generate two risk events .
The first Risk Modifier assigns:
* Risk Score: 10
* Risk Object Field: src
* Risk Object Type: system
The second Risk Modifier assigns:
* Risk Score: 10
* Risk Object Field: user
* Risk Object Type: user
Splunk Enterprise Security creates a separate risk event for each configured risk modifier because each modifier applies risk to a distinct risk object . In this example, one event attributes risk to the source system represented by src, while another attributes risk to the account represented by user.
The two scores are not added together to determine the number of events . Therefore, option A (20) confuses total numerical risk contribution with event count, while option C (10) represents the score assigned to each individual risk event rather than the number created. Option B is incorrect because there are two configured risk objects.
This configuration is a common Risk-Based Alerting pattern: one suspicious action can simultaneously contribute risk to multiple entities involved in the activity.
Study Guide topics: Risk Analysis Adaptive Response Action, Risk Modifiers, risk objects, risk object types, risk scores, Risk-Based Alerting.
27. Frage
An engineer receives a report that the "Traffic over time by action" dashboard is not populating. It has been confirmed that the relevant logs are being ingested properly and they are CIM compliant. What other configuration may be missing?
Antwort: B
Begründung:
The "Traffic over time by action" dashboard relies on the Network Traffic data model. For it to populate correctly, the data model must be accelerated, ensuring that the dashboard can pull from the accelerated summaries instead of raw data.
28. Frage
A cyber defense engineer plays a role in maintaining a secure SOAR Cloud configuration. Which network security statement is correct about SOAR Cloud?
Antwort: B
Begründung:
In Splunk SOAR Cloud, the Automation Broker is responsible for maintaining connectivity. It initiates an outbound SSL connection to Splunk Cloud (so no inbound firewall rules are needed) and also makes outbound connections to the managed endpoints to execute playbook actions securely.
29. Frage
Which of the following macro values will exclude all of the company networks if it is called from the following search?
index=firewall sourcetype=pan:traffic NOT "company_networks"
Antwort: B
Begründung:
To exclude all company networks from the search, the macro should negate the source IPs using NOT (src_ip IN (...)). This ensures that any traffic originating from the specified company networks is filtered out of the results.
30. Frage
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