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Splunk SPLK-5002 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 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.
Topic 3
- 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 4
- 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 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.
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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q69-Q74):
NEW QUESTION # 69
Which Splunk feature helps in tracking and documenting threat trends over time?
- A. Summary indexing
- B. Event sampling
- C. Data model acceleration
- D. Risk-based dashboards
Answer: D
Explanation:
Why Use Risk-Based Dashboards for Tracking Threat Trends?
Risk-based dashboards in Splunk Enterprise Security (ES) provide a structured way to track threats over time.
#How Risk-Based Dashboards Help:#Aggregate security events into risk scores # Helps prioritize high-risk activities.#Show historical trends of threat activity.#Correlate multiple risk factors across different security events.
#Example in Splunk ES:#Scenario: A SOC team tracks insider threat activity over 6 months.#The Risk-Based Dashboard shows:
Users with rising risk scores over time.
Patterns of malicious behavior (e.g., repeated failed logins + data exfiltration).
Correlation between different security alerts (e.g., phishing clicks # malware execution).
Why Not the Other Options?
#A. Event sampling - Helps with performance optimization, not threat trend tracking.#C. Summary indexing
- Stores precomputed data but is not designed for tracking risk trends.#D. Data model acceleration - Improves search speed, but doesn't track security trends.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Tracking Security Trends Using Risk-Based Dashboards: https://splunkbase.splunk.com#How to Build Risk-Based Analytics in Splunk: https://www.splunk.com/en_us/blog/security
NEW QUESTION # 70
What does Splunk's term "bucket" refer to in data indexing?
- A. A database table for search results
- B. A directory containing indexed data
- C. A storage unit for archived data
- D. A collection of events with a specific retention policy
Answer: B
NEW QUESTION # 71
A company wants to create a dashboard that displays normalized event data from various sources.
Whatapproach should they use?
- A. Apply search-time field extractions.
- B. Configure a summary index.
- C. Implement a data model using CIM.
- D. Use SPL queries to manually extract fields.
Answer: C
Explanation:
When organizations need to normalize event data from various sources, using Common Information Model (CIM) in Splunk is the best approach.
Why Use CIM for Normalized Event Data?
Standardizes Data Across Different Log Sources
CIM ensures consistent field names and formats across varied log types.
Makes searches, reports, and dashboards easier to manage.
Enables Faster and More Efficient Searches
Uses Data Models to accelerate search queries.
Reduces the need for custom field extractions.
NEW QUESTION # 72
Which components are necessary to develop a SOAR playbook in Splunk?(Choosethree)
- A. Actionable steps or tasks
- B. Defined workflows
- C. Threat intelligence feeds
- D. Manual approval processes
- E. Integration with external tools
Answer: A,B,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 # 73
What is the main purpose of incorporating threat intelligence into a security program?
- A. To archive historical events for compliance
- B. To automate response workflows
- 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 # 74
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