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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Building Effective Security Processes and Programs | 20% | - Risk and detection prioritization methodologies - Threat intelligence research, integration and development - Documentation and standard operating procedures development |
| Topic 2: Automation and Efficiency | 20% | - Response automation using SOAR playbooks - REST API usage and description - Automation and orchestration for standard operating procedures - Case management optimization - Integration and automation capability comparison between Enterprise Security and SOAR |
| Topic 3: Data Engineering | 10% | - Data review and analysis - Data normalization methods and application - Performant data indexing creation and maintenance |
| Topic 4: Detection Engineering | 40% | - Risk-based modifiers and detections - Incorporating context into detections - Generating effective Notable Events and findings - Detection lifecycle management - Creation and tuning of detections and correlation searches |
| Topic 5: Auditing and Reporting on Security Programs | 10% | - Security report creation and population - Dashboard building for program analytics - Security metrics development and optimization |
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NEW QUESTION # 56
What is an essential step in building effective dashboards for program analytics?
Answer: B
Explanation:
Building Effective Dashboards for Program Analytics
Well-designed dashboards help SOC teams visualize security trends, performance metrics, and compliance adherence efficiently.
#1. Applying Accelerated Data Models for Better Performance (B)
Speeds up dashboard loading times by using pre-aggregated datasets.
Improves SIEM performance when analyzing large volumes of security logs.
Example:
Instead of running a full search, an accelerated data model pre-indexes event counts by severity level.
#Incorrect Answers:
A: Using predefined templates without modification # Dashboards should be customized for security needs.
C: Avoiding the use of filters and tokens # Filters improve usability by allowing analysts to refine searches.
D: Limiting the number of visualizations # Dashboards should balance performance and visibility rather than limit insights.
#Additional Resources:
Splunk Accelerated Data Models
Building Fast and Efficient Dashboards
NEW QUESTION # 57
When generating documentation for a security program, what key element should be included?
Answer: D
Explanation:
Key Elements of Security Program Documentation
A security program's documentation ensures consistency, compliance, and efficiency in cybersecurity operations.
#Why Include Standard Operating Procedures (SOPs)?
Defines step-by-step processesfor security tasks.
Ensures security teams followstandardized workflowsfor handling incidents, vulnerabilities, and monitoring.
Supportscompliance with regulationslikeNIST, ISO 27001, and CIS controls.
Example:
SOP forincident responseoutlines how analysts escalate security threats.
#Incorrect Answers:
A: Vendor contract details# Vendor agreements are important butnot core to a security program's documentation.
B: Organizational hierarchy chart# Useful for internal structure butnot essential for security documentation.
D: Financial cost breakdown# Related to budgeting, not security operations.
#Additional Resources:
NIST Security Documentation Framework
Splunk Security Operations Guide
NEW QUESTION # 58
A security analyst wants to validate whether a newly deployed SOAR playbook is performing as expected.
Whatsteps should they take?
Answer: D
Explanation:
A SOAR (Security Orchestration, Automation, and Response) playbook is a set of automated actions designed to respond to security incidents. Before deploying it in a live environment, a security analyst must ensure that it operates correctly, minimizes false positives, and doesn't disrupt business operations.
#Key Reasons for Using Simulated Incidents:
Ensures that the playbook executes correctly and follows the expected workflow.
Identifies false positives or incorrect actions before deployment.
Tests integrations with other security tools (SIEM, firewalls, endpoint security).
Provides a controlled testing environment without affecting production.
How to Test a Playbook in Splunk SOAR?
1##Use the "Test Connectivity" Feature - Ensures that APIs and integrations work.2##Simulate an Incident - Manually trigger an alert similar to a real attack (e.g., phishing email or failed admin login).3##Review the Execution Path - Check each step in the playbook debugger to verify correct actions.4##Analyze Logs & Alerts - Validate that Splunk ES logs, security alerts, and remediation steps are correct.5##Fine-tune Based on Results - Modify the playbook logic to reduce unnecessary alerts or excessive automation.
Why Not the Other Options?
#B. Monitor the playbook's actions in real-time environments - Risky without prior validation. Itcan cause disruptions if the playbook misfires.#C. Automate all tasks immediately - Not best practice. Gradual deployment ensures better security control and monitoring.#D. Compare with existing workflows - Good practice, but it does not validate the playbook's real execution.
References & Learning Resources
#Splunk SOAR Documentation: https://docs.splunk.com/Documentation/SOAR#Testing Playbooks in Splunk SOAR: https://www.splunk.com/en_us/products/soar.html#SOAR Playbook Debugging Best Practices:
https://splunkbase.splunk.com
NEW QUESTION # 59
Which stash event field created by an adaptive response action allows for troubleshooting the correlation search that created the notable event?
Answer: D
Explanation:
The search_sid field in a stash event is created by an adaptive response action and points back to the search job ID of the correlation search that generated the notable. This allows analysts to troubleshoot by reviewing the exact search execution and results.
NEW QUESTION # 60
For detections that leverage a CIM data model, which aspect of the configuration is responsible for determining which indexes are being searched?
Answer: A
Explanation:
For detections using a CIM data model, the data model's constraint macro defines which indexes are searched. This macro ensures that only relevant indexed data is pulled into the data model, controlling the search scope for detections.
NEW QUESTION # 61
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