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Splunk SPLK-5002 Exam Syllabus Topics:
Topic
Details
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.
Topic 2
- 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 3
- 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 4
- 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 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.
Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q35-Q40):
NEW QUESTION # 35
What is the purpose of leveraging REST APIs in a Splunk automation workflow?
- A. To configure storage retention policies
- B. To compress data before indexing
- C. To generate predefined reports
- D. To integrate Splunk with external applications and automate interactions
Answer: D
Explanation:
Splunk's REST API allows external applications and security tools to automate workflows, integrate with Splunk, and retrieve/search data programmatically.
#Why Use REST APIs in Splunk Automation?
Automates interactions between Splunk and other security tools.
Enables real-time data ingestion, enrichment, and response actions.
Used in Splunk SOAR playbooks for automated threat response.
Example:
A security event detected in Splunk ES triggers a Splunk SOAR playbook via REST API to:
Retrieve threat intelligence from VirusTotal.
Block the malicious IP in Palo Alto firewall.
Create an incident ticket in ServiceNow.
#Incorrect Answers:
A: To configure storage retention policies # Storage is managed via Splunk indexing, not REST APIs.
C: To compress data before indexing # Splunk does not use REST APIs for data compression.
D: To generate predefined reports # Reports are generated using Splunk's search and reporting functionality, not APIs.
#Additional Resources:
Splunk REST API Documentation
Automating Workflows with Splunk API
NEW QUESTION # 36
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. Suppress all notable events temporarily.
- C. Disable the correlation search for test accounts.
- D. Lower the search threshold for failed logins.
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 # 37
Which components are necessary to develop a SOAR playbook in Splunk?(Choosethree)
- A. Defined workflows
- B. Manual approval processes
- C. Threat intelligence feeds
- D. Actionable steps or tasks
- E. Integration with external tools
Answer: A,D,E
Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) playbooks automate security processes, reducing response times.
#1. Defined Workflows (A)
A structured flowchart of actions for handling security events.
Ensures that the playbook follows a logical sequence (e.g., detect # enrich # contain # remediate).
Example:
If a phishing email is detected, the workflow includes:
Extract email artifacts (e.g., sender, links).
Check indicators against threat intelligence feeds.
Quarantine the email if it is malicious.
#2. Actionable Steps or Tasks (C)
Each playbook contains specific, automated steps that execute responses.
Examples:
Extracting indicators from logs.
Blocking malicious IPs in firewalls.
Isolating compromised endpoints.
#3. Integration with External Tools (E)
Playbooks must connect with SIEM, EDR, firewalls, threat intelligence platforms, and ticketing systems.
Uses APIs and connectors to integrate with tools like:
Splunk ES
Palo Alto Networks
Microsoft Defender
ServiceNow
#Incorrect Answers:
B: Threat intelligence feeds # These enrich playbooks but are not mandatory components of playbook development.
D: Manual approval processes # Playbooks are designed for automation, not manual approvals.
#Additional Resources:
Splunk SOAR Playbook Documentation
Best Practices for Developing SOAR Playbooks
NEW QUESTION # 38
What are the benefits of incorporating asset and identity information into correlation searches?(Choosetwo)
- A. Prioritizing incidents based on asset value
- B. Enhancing the context of detections
- C. Accelerating data ingestion rates
- D. Reducing the volume of raw data indexed
Answer: A,B
Explanation:
Why is Asset and Identity Information Important in Correlation Searches?
Correlation searches in Splunk Enterprise Security (ES) analyze security events to detect anomalies, threats, and suspicious behaviors. Adding asset and identity information significantly improves security detection and response by:
1##Enhancing the Context of Detections - (Answer A)
Helps analysts understand the impact of an event by associating security alerts with specific assets and users.
Example: If a failed login attempt happens on a critical server, it's more serious than one on a guest user account.
2##Prioritizing Incidents Based on Asset Value - (Answer C)
High-value assets (CEO's laptop, production databases) need higher priority investigations.
Example: If malware is detected on a critical finance server, the SOC team prioritizes it over a low-impact system.
Why Not the Other Options?
#B. Reducing the volume of raw data indexed - Asset and identity enrichment adds more metadata;it doesn't reduce indexed data.#D. Accelerating data ingestion rates - Adding asset identity doesn't speed up ingestion; it actually introduces more processing.
References & Learning Resources
#Splunk ES Asset & Identity Framework: https://docs.splunk.com/Documentation/ES/latest/Admin
/Assetsandidentitymanagement#Correlation Searches in Splunk ES: https://docs.splunk.com/Documentation
/ES/latest/Admin/Correlationsearches
NEW QUESTION # 39
What is the main purpose of incorporating threat intelligence into a security program?
- A. To automate response workflows
- B. To archive historical events for compliance
- C. To generate incident reports for stakeholders
- D. To proactively identify and mitigate potential threats
Answer: D
Explanation:
Why Use Threat Intelligence in Security Programs?
Threat intelligence providesreal-time data on known threats, helping SOC teamsidentify, detect, and mitigate security risks proactively.
#Key Benefits of Threat Intelligence:#Early Threat Detection- Identifiesknown attack patterns(IP addresses, domains, hashes).#Proactive Defense- Blocks threatsbefore they impact systems.#Better Incident Response- Speeds uptriage and forensic analysis.#Contextualized Alerts- Reduces false positives bycorrelating security events with known threats.
#Example Use Case in Splunk ES:#Scenario:The SOC team ingeststhreat intelligence feeds(e.g., from MITRE ATT&CK, VirusTotal).#Splunk Enterprise Security (ES)correlates security eventswith knownmalicious IPs or domains.#If an internal system communicates with aknown C2 server, the SOC teamautomatically receives an alertandblocks the IPusing Splunk SOAR.
Why Not the Other Options?
#A. To automate response workflows- While automation is beneficial,threat intelligence is primarily for proactive identification.#C. To generate incident reports for stakeholders- Reports are abyproduct, but not themain goalof threat intelligence.#D. To archive historical events for compliance- Threat intelligence isreal- time and proactive, whereas compliance focuses onrecord-keeping.
References & Learning Resources
#Splunk ES Threat Intelligence Guide: https://docs.splunk.com/Documentation/ES#MITRE ATT&CK Integration with Splunk: https://attack.mitre.org/resources#Threat Intelligence Best Practices in SOC:
https://splunkbase.splunk.com
NEW QUESTION # 40
......
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