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Splunk SPLK-5002 Exam Syllabus Topics:

Topic	Details
Topic 1	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.
Topic 2	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.
Topic 3	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.
Topic 4	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.
Topic 5	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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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q75-Q80):

NEW QUESTION # 75
What are key benefits of using summary indexing in Splunk? (Choose two)

A. Provides automatic field extraction during indexing
B. Increases data retention period
C. Reduces storage space required for raw data
D. Improves search performance on aggregated data

Answer: B,D

Explanation:
Summary indexing in Splunk improves search efficiency by storing pre-aggregated data, reducing the need to process large datasets repeatedly.
Key Benefits of Summary Indexing:
Improves Search Performance on Aggregated Data (B)
Reduces query execution time by storing pre-calculated results.
Helps SOC teams analyze trends without running resource-intensive searches.
Increases Data Retention Period (D)
Raw logs may have short retention periods, but summary indexes can store key insights for longer.
Useful for historical trend analysis and compliance reporting.

NEW QUESTION # 76
An effective method for building automation workflows is to follow the OODA (Observe, Orient, Decide, Act) loop stages. When transitioning between the Decide and Act stages, what additional work should be included before automating the Act stage?

A. Validate response data paths from Decide stage.
B. Create a new automation playbook.
C. Create a new response template.
D. Validate if the asset, identity, or service has an exemption.

Answer: D

Explanation:
Before automating the Act stage of the OODA loop, it is essential to validate whether the asset, identity, or service has an exemption. This ensures that automated actions do not negatively impact business-critical systems or users who are intentionally excluded from automated remediation.

NEW QUESTION # 77
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

A. Testing API connectivity
B. Increasing indexer capacity
C. Evaluating automated action performance
D. Verifying authentication methods
E. Monitoring data ingestion rates

Answer: A,C,D

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.
#Incorrect Answers & Explanations
B: Monitoring data ingestion rates # Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E: Increasing indexer capacity # This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
#Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations

NEW QUESTION # 78
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

A. Testing API connectivity
B. Increasing indexer capacity
C. Evaluating automated action performance
D. Verifying authentication methods
E. Monitoring data ingestion rates

Answer: A,C,D

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 # 79
Which action improves the effectiveness of notable events in Enterprise Security?

A. Applying suppression rules for false positives
B. Using only raw log data in searches
C. Limiting the search scope to one index
D. Disabling scheduled searches

Answer: A

Explanation:
Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.
How to Improve Notable Events Effectiveness:
Apply suppression rules to filter out known false positives and reduce alert fatigue.
Refine correlation searches by adjusting thresholds and tuning event detection logic.
Leverage risk-based alerting (RBA) to prioritize high-risk events.
Use adaptive response actions to enrich events dynamically.
By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable.
Thus, the correct answer is A. Applying suppression rules for false positives.
References:
Managing Notable Events in Splunk ES
Best Practices for Tuning Correlation Searches
Using Suppression in Splunk ES

NEW QUESTION # 80
......

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