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| Topic | Details |
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| Topic 1 | - Building Effective Security Processes and Programs: This section targets Security Program Managers and Compliance Officers, focusing on operationalizing security workflows. It involves researching and integrating threat intelligence, applying risk and detection prioritization methodologies, and developing documentation or standard operating procedures (SOPs) to maintain robust security practices.
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| Topic 2 | - Detection Engineering: This section evaluates the expertise of Threat Hunters and SOC Engineers in developing and refining security detections. Topics include creating and tuning correlation searches, integrating contextual data into detections, applying risk-based modifiers, generating actionable Notable Events, and managing the lifecycle of detection rules to adapt to evolving threats.
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| Topic 3 | - Data Engineering: This section of the exam measures the skills of Security Analysts and Cybersecurity Engineers and covers foundational data management tasks. It includes performing data review and analysis, creating and maintaining efficient data indexing, and applying Splunk methods for data normalization to ensure structured and usable datasets for security operations.
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| Topic 4 | - Automation and Efficiency: This section assesses Automation Engineers and SOAR Specialists in streamlining security operations. It covers developing automation for SOPs, optimizing case management workflows, utilizing REST APIs, designing SOAR playbooks for response automation, and evaluating integrations between Splunk Enterprise Security and SOAR tools.
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| Topic 5 | - Auditing and Reporting on Security Programs: This section tests Auditors and Security Architects on validating and communicating program effectiveness. It includes designing security metrics, generating compliance reports, and building dashboards to visualize program performance and vulnerabilities for stakeholders.
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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q13-Q18):
NEW QUESTION # 13
When creating a detection, how might an engineer ensure that all possible contextual fields about a given asset and identity are added to a risk event?
- A. Use an identity lookup to return all available identity information in the detection output.
- B. Call an Active Directory adaptive response action to perform a real-time update.
- C. Include the standard CIM fields for assets and identities in the detection output.
- D. Use an asset lookup to return all available asset information in the detection output.
Answer: C
Explanation:
The most scalable approach is to include the appropriate standard CIM asset and identity fields in the detection results. Enterprise Security can then use its Assets and Identities framework to recognize those normalized entities and apply available contextual enrichment to the resulting risk activity.
Typical CIM-aligned entity fields include values representing users, source systems, destinations, and devices.
Correctly populating these fields enables downstream Enterprise Security functionality to associate detection results with known entities and retrieve attributes such as priority, organizational context, category, ownership, or other maintained asset/identity information.
Option B only addresses identity enrichment, while option C addresses only assets. The requirement explicitly concerns both asset and identity context , making either lookup alone incomplete. Option D is also inappropriate because querying Active Directory directly at detection time is not the standard mechanism for applying the complete ES asset-and-identity context and would introduce unnecessary external dependency and latency.
The larger engineering principle is that detections should output normalized semantic fields rather than manually embedding every possible contextual attribute. Centralized enrichment then remains maintainable as asset and identity information changes.
Study Guide topics: Assets and Identities Framework, CIM normalization, risk events, contextual enrichment, entity fields, detection output design.
NEW QUESTION # 14
What are the essential components of risk-based detections in Splunk?
- A. Risk modifiers, risk objects, and risk scores
- B. Alerts, notifications, and priority levels
- C. Summary indexing, tags, and event types
- D. Source types, correlation searches, and asset groups
Answer: A
Explanation:
What Are Risk-Based Detections in Splunk?
Risk-based detections in Splunk Enterprise Security (ES) assign risk scores to security events based on threat severity and asset criticality.
#Key Components of Risk-Based Detections:1##Risk Modifiers - Adjusts risk scores based on event type (e.
g., failed logins, malware detections).2##Risk Objects - Entities associated with security events (e.g., users, IPs, devices).3##Risk Scores - Numerical values indicating the severity of a risk.
#Example in Splunk Enterprise Security:#Scenario: A high-privilege account (Admin) fails multiple logins from an unusual location.#Splunk ES applies risk-based detection:
Failed logins add +10 risk points
Login from a suspicious country adds +15 points
Total risk score exceeds 25 # Triggers an alert
Why Not the Other Options?
#B. Summary indexing, tags, and event types - Summary indexing stores precomputed data, but doesn't drive risk-based detection.#C. Alerts, notifications, and priority levels - Important, but risk-based detection is based on scoring, not just alerts.#D. Source types, correlation searches, and asset groups - Helps in data organization, but not specific to risk-based detections.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Risk-Based Detections
& Scoring in Splunk: https://www.splunk.com/en_us/blog/security/risk-based-alerting.html#Best Practices for Risk Scoring in SOC Operations: https://splunkbase.splunk.com
NEW QUESTION # 15
Which type of correlation search reviews the events in the risk index and uses an aggregation of events impacting a single risk object to generate risk notables?
- A. Risk Rule
- B. Risk Category
- C. Risk Incident Notable
- D. Risk Incident Rule
Answer: D
NEW QUESTION # 16
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?
- A. EventCode=4168
- B. EventCode=4126
- C. EventCode=4624
- D. EventCode=4104
Answer: D
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 # 17
Which of the following actions will allow access to a list of alert actions via the API?
- A. | rest /services/alerts/adaptive_response_action
- B. | rest /services/alerts/alert_actions
- C. | rest /services/alerts/correlationsearches
- D. | rest /services/alerts/alert actions/_acl
Answer: B
Explanation:
The correct REST endpoint to list available alert actions in Splunk is | rest
/services/alerts/alert_actions
This returns details of all configured alert actions, allowing engineers to view and manage them through the API.
NEW QUESTION # 18
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