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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

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

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

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

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 (Q21-Q26):

NEW QUESTION # 21
What is the primary purpose of correlation searches in Splunk?

A. To store pre-aggregated search results
B. To identify patterns and relationships between multiple data sources
C. To create dashboards for real-time monitoring
D. To extract and index raw data

Answer: B

Explanation:
Correlation searches in Splunk Enterprise Security (ES) are a critical component of Security Operations Center (SOC) workflows, designed to detect threats by analyzing security data from multiple sources.
Primary Purpose of Correlation Searches:
Identify threats and anomalies: They detect patterns and suspicious activity by correlating logs, alerts, and events from different sources.
Automate security monitoring: By continuously running searches on ingested data, correlationsearches help reduce manual efforts for SOC analysts.
Generate notable events: When a correlation search identifies a security risk, it creates a notable event in Splunk ES for investigation.
Trigger security automation: In combination with Splunk SOAR, correlation searches can initiate automated response actions, such as isolating endpoints or blocking malicious IPs.
Since correlation searches analyze relationships and patterns across multiple data sources to detect security threats, the correct answer is B. To identify patterns and relationships between multiple data sources.
References:
Splunk ES Correlation Searches Overview
Best Practices for Correlation Searches
Splunk ES Use Cases and Notable Events

NEW QUESTION # 22
What methods enhance risk-based detection in Splunk?(Choosetwo)

A. Defining accurate risk modifiers
B. Enriching risk objects with contextual data
C. Limiting the number of correlation searches
D. Using summary indexing for raw events

Answer: A,B

Explanation:
Risk-based detection in Splunk prioritizes alerts based on behavior, threat intelligence, and business impact.
Enhancing risk scores and enriching contextual data ensures that SOC teams focus on the most critical threats.
Methods to Enhance Risk-Based Detection:
Defining Accurate Risk Modifiers (A)
Adjusts risk scores dynamically based on asset value, user behavior, and historical activity.
Ensures that low-priority noise doesn't overwhelm SOC analysts.
Enriching Risk Objects with Contextual Data (D)
Adds threat intelligence feeds, asset criticality, and user behavior data to alerts.
Improves incident triage and correlation of multiple low-level events into significant threats.

NEW QUESTION # 23
What are the key components of Splunk's indexing process?(Choosethree)

A. Alerting
B. Parsing
C. Input phase
D. Searching
E. Indexing

Answer: B,C,E

Explanation:
Key Components of Splunk's Indexing Process
Splunk's indexing process consists of multiple stages that ingest, process, and store data efficiently for search and analysis.
#1. Input Phase (E)
Collects data from sources (e.g., syslogs, cloud services, network devices).
Defines where the data comes from and applies pre-processing rules.
Example:
A firewall log is ingested from a syslog server into Splunk.
#2. Parsing (A)
Breaks raw data into individual events.
Applies rules for timestamp extraction, line breaking, and event formatting.
Example:
A multiline log file is parsed so that each log entry is a separate event.
#3. Indexing (C)
Stores parsed data in indexes to enable fast searching.
Assigns metadata like host, source, and sourcetype.
Example:
An index=firewall_logs contains all firewall-related events.
#Incorrect Answers:
B: Searching # Searching happens after indexing, not during the indexing process.
D: Alerting # Alerting is part of SIEM and detection, not indexing.
#Additional Resources:
Splunk Indexing Process Documentation
Splunk Data Processing Pipeline

NEW QUESTION # 24
Which practices strengthen the development of Standard Operating Procedures (SOPs)?(Choosethree)

A. Collaborating with cross-functional teams
B. Including detailed step-by-step instructions
C. Regular updates based on feedback
D. Focusing solely on high-risk scenarios
E. Excluding historical incident data

Answer: A,B,C

Explanation:
Why Are These Practices Essential for SOP Development?
Standard Operating Procedures (SOPs)are crucial for ensuring consistent, repeatable, and effective security operations in aSecurity Operations Center (SOC). Strengthening SOP development ensuresefficiency, clarity, and adaptabilityin responding to incidents.
1##Regular Updates Based on Feedback (Answer A)
Security threats evolve, andSOPs must be updatedbased onreal-world incidents, analyst feedback, and lessons learned.
Example: Anew ransomware variantis detected; theSOP is updatedto include aspecific containment playbookin Splunk SOAR.
2##Collaborating with Cross-Functional Teams (Answer C)
Effective SOPs requireinput from SOC analysts, threat hunters, IT, compliance teams, and DevSecOps.
Ensures thatall relevant security and business perspectivesare covered.
Example: ASOC team collaborates with DevOpsto ensure that acloud security response SOPaligns with AWS security controls.
3##Including Detailed Step-by-Step Instructions (Answer D)
SOPs should provideclear, actionable, and standardizedsteps for security analysts.
Example: ASplunk ES incident response SOPshould include:
How to investigate a security alertusing correlation searches.
How to escalate incidentsbased on risk levels.
How to trigger a Splunk SOAR playbookfor automated remediation.
Why Not the Other Options?
#B. Focusing solely on high-risk scenarios-All security events matter, not just high-risk ones.Low-level alertscan be early indicators of larger threats.#E. Excluding historical incident data- Past incidents providevaluable lessonsto improveSOPs and incident response workflows.
References & Learning Resources
#Best Practices for SOPs in Cybersecurity:https://www.nist.gov/cybersecurity-framework#Splunk SOAR Playbook SOP Development: https://docs.splunk.com/Documentation/SOAR#Incident Response SOPs with Splunk: https://splunkbase.splunk.com

NEW QUESTION # 25
What is the role of event timestamping during Splunk's data indexing?

A. Tagging events for correlation searches
B. Assigning data to a specific source type
C. Ensuring events are organized chronologically
D. Synchronizing event data with system time

Answer: C

Explanation:
Why is Event Timestamping Important in Splunk?
Event timestamps helpmaintain the correct sequence of logs, ensuring that data isaccurately analyzed and correlated over time.
#Why "Ensuring Events Are Organized Chronologically" is the Best Answer?(AnswerD)#Prevents event misalignment- Ensures logs appear in the correct order.#Enables accurate correlation searches- Helps SOC analyststrace attack timelines.#Improves incident investigation accuracy- Ensures that event sequences are correctly reconstructed.
#Example in Splunk:#Scenario:A security analyst investigates abrute-force attackacross multiple logs.
#Without correct timestamps, login failures might appearout of order, making analysis difficult.#With proper event timestamping, logsline up correctly, allowing SOC analysts to detect theexact attack timeline.
Why Not the Other Options?
#A. Assigning data to a specific sourcetype- Sourcetypes classify logs butdon't affect timestamps.#B.
Tagging events for correlation searches- Correlation uses timestamps buttimestamping itself isn't about tagging.#C. Synchronizing event data with system time- System time matters, butevent timestamping is about chronological ordering.
References & Learning Resources
#Splunk Event Timestamping Guide: https://docs.splunk.com/Documentation/Splunk/latest/Data
/HowSplunkextractstimestamps#Best Practices for Log Time Management in Splunk: https://www.splunk.com
/en_us/blog/tips-and-tricks#SOC Investigations & Log Timestamping: https://splunkbase.splunk.com

NEW QUESTION # 26
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