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| Section | Weight | Objectives |
|---|---|---|
| Security Automation (SOAR) | 30% | - Playbook design and automation workflows - Incident response automation and orchestration |
| Security Operations and Program Development | 20% | - SOC process design and operational workflows - Threat intelligence integration |
| Detection Engineering | 40% | - Detection enrichment with context and risk-based alerting - Creation and tuning of detections (Correlation Searches) - Notable event generation and lifecycle management |
| Data Engineering | 10% | - Data parsing, normalization, and CIM alignment - Data ingestion and onboarding - Indexing performance and management |
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NEW QUESTION # 56
Based on a recent red team exercise, an organization is highly concerned about pass-the-hash attacks, especially including tools like Empire. Which EventCode associated with PowerShell Script Block Logging would be used to detect this activity?
Answer: B
Explanation:
EventCode 4104 represents PowerShell Script Block Logging , making it the relevant telemetry for inspecting PowerShell code executed in an environment. The question specifically ties the detection requirement to PowerShell Script Block Logging and therefore directly points to 4104.
Script Block Logging provides visibility into PowerShell script content after PowerShell has processed the command or script block. From a detection-engineering perspective, this can expose suspicious commands, modules, functions, credential-access behavior, encoded or obfuscated PowerShell content, and scripts associated with offensive frameworks. An engineer can search this telemetry for characteristics associated with the behavior discovered during the red-team exercise and subsequently operationalize reliable indicators into a detection.
EventCode 4624 , by comparison, represents a successful Windows logon and can be useful in authentication and lateral-movement analysis, but it is not the PowerShell Script Block Logging event explicitly requested.
The remaining distractor event codes do not represent the logging mechanism identified in the question.
The distinction matters because endpoint detections depend on selecting telemetry that observes the relevant layer of attacker behavior. Here, PowerShell execution content-not merely authentication-is the required visibility source.
Study Guide topics: PowerShell logging, EventCode 4104, endpoint telemetry, behavioral detection, red- team findings, Windows security monitoring.
NEW QUESTION # 57
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)
Answer: B,C,E
Explanation:
Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
Key Features for Validating Integrations
1. Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.).
Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2. Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3. Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform.
Helps optimize playbook execution time and response accuracy.
NEW QUESTION # 58
What is the main purpose of Splunk's Common Information Model (CIM)?
Answer: C
NEW QUESTION # 59
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: D
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 # 60
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?
Answer: B
Explanation:
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.
NEW QUESTION # 61
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