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Splunk SPLK-5002 Exam Syllabus Topics:

Topic Details
Topic 1
  • 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 2
  • 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.
Topic 3
  • 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 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.
Topic 5
  • 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.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q77-Q82):

NEW QUESTION # 77
Which tool can help provide a baseline of the data sources in a given Splunk environment?

  • A. Enterprise Security Content Update
  • B. Enterprise Security Data Library
  • C. Splunk Security Essentials Analytic Stories
  • D. Splunk Security Essentials Data Inventory

Answer: B

Explanation:
The Enterprise Security Data Library (ESDL) provides a baseline of the data sources available in a Splunk environment. It helps identify which data sources are present, how they map to security use cases, and whether they align with Enterprise Security requirements.


NEW QUESTION # 78
A Splunk administrator needs to integrate a third-party vulnerability management tool to automate remediation workflows. What is the most efficient first step?

  • A. Configure custom dashboards to monitor vulnerabilities
  • B. Write a correlation search for each vulnerability type
  • C. Set up a manual alerting system for vulnerabilities
  • D. Use REST APIs to integrate the third-party tool with Splunk SOAR

Answer: D

Explanation:
Why Use REST APIs for Integration?
When integrating a third-party vulnerability management tool (e.g., Tenable, Qualys, Rapid7) with Splunk SOAR, using REST APIs is the most efficient and scalable approach.
Why REST APIs?
APIs enable direct communication between Splunk SOAR and the third-party tool.
Allows automated ingestion of vulnerability data into Splunk.
Supports automated remediation workflows (e.g., patch deployment, firewall rule updates).
Reduces manual work by allowing Splunk SOAR to pull real-time data from the vulnerability tool.
Steps to Integrate a Third-Party Vulnerability Tool with Splunk SOAR Using REST API:
1. Obtain API Credentials - Get API keys or authentication tokens from the vulnerability management tool.
2. Configure REST API Integration - Use Splunk SOAR's built-in API connectors or create a custom REST API call.
3. Ingest Vulnerability Data into Splunk - Map API responses to Splunk ES correlation searches.
4. Automate Remediation Playbooks - Build Splunk SOAR playbooks to:
Automatically open tickets for critical vulnerabilities.
Trigger patches or firewall rules for high-risk vulnerabilities.
Notify SOC analysts when a high-risk vulnerability is detected on a critical asset.
Example Use Case in Splunk SOAR:
Scenario: The company uses Tenable.io for vulnerability management.
Splunk SOAR connects to Tenable's API and pulls vulnerability scan results.
If a critical vulnerability is found on a production server, Splunk SOAR:
Automatically creates a ServiceNow ticket for remediation.
Triggers a patching script to fix the vulnerability.
Updates Splunk ES dashboards for tracking.


NEW QUESTION # 79
During an incident, a correlation search generates several notable events related to failed logins. The engineer notices the events are from test accounts.
Whatshould be done to address this?

  • A. Apply filtering to exclude test accounts from the search results.
  • B. Lower the search threshold for failed logins.
  • C. Suppress all notable events temporarily.
  • D. Disable the correlation search for test accounts.

Answer: A

Explanation:
When a correlation search in Splunk Enterprise Security (ES) generates excessive notable events due to test accounts, the best approach is to filter out test accounts while keeping legitimate detections active.
#1. Apply Filtering to Exclude Test Accounts (B)
Modifies the correlation search to exclude known test accounts.
Reduces false positives while keeping real threats visible.
Example:
Update the search to exclude test accounts:
index=auth_logs NOT user IN ("test_user1", "test_user2")
#Incorrect Answers:
A: Disable the correlation search for test accounts # This removes visibility into all failed logins, including those that may indicate real threats.
C: Lower the search threshold for failed logins # Would increase false positives, making it harder for SOC teams to focus on real attacks.
D: Suppress all notable events temporarily # Suppression hides all alerts, potentially missing real security incidents.
#Additional Resources:
Splunk ES: Managing Correlation Searches
Reducing False Positives in SIEM


NEW QUESTION # 80
Which action improves the effectiveness of notable events in Enterprise Security?

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

Answer: C

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.


NEW QUESTION # 81
The SOC notices over the course of an investigation there are numerous logs like the following:
14-Apr-2024 20:16:49.083 client 15.111.116.918*18345 UDP: query:
reallybad.c2.com IN A response: SERVFAIL +E
What detection should be created to alert on this behavior for the future?

  • A. Excessive DNS Failures
  • B. Excessive Authentication Failures
  • C. Excessive Network Failures
  • D. Excessive Endpoint Failures

Answer: A

Explanation:
The log shows repeated DNS query failures (SERVFAIL) to a suspicious domain (reallybad.c2.com). The correct detection to create is Excessive DNS Failures, which alerts on abnormal patterns of failed DNS lookups that may indicate command-and-control or malware activity.


NEW QUESTION # 82
......

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