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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

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

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 5

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.

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The Splunk SPLK-5002 certification exam is one of the hottest and career-oriented Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exams. With the Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam you can validate your skills and upgrade your knowledge level. By doing this you can learn new in-demand skills and gain multiple career opportunities. To do this you just need to enroll in the Splunk SPLK-5002 Certification Exam and put all your efforts to pass this important Splunk SPLK-5002 Exam Questions.

Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q30-Q35):

NEW QUESTION # 30
What are the key components of Splunk's indexing process?(Choosethree)

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

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 # 31
What should a security engineer prioritize when building a new security process?

A. Integrating it with legacy systems
B. Ensuring it aligns with compliance requirements
C. Automating all workflows within the process
D. Reducing the overall number of employees required

Answer: B

Explanation:
When aSecurity Engineeris building a new security process, theirtop priorityshould be ensuring that the process aligns withcompliance requirements. This is crucial because compliance dictates the legal, regulatory, and industry standards that organizations must follow to protect sensitive data and maintain trust.
Why Compliance is the Top Priority?
Legal and Regulatory Obligations- Many industries are required to follow compliance standards such asGDPR, HIPAA, PCI-DSS, NIST, ISO 27001, and SOX. Non-compliance can lead toheavy fines and legal actions.
Data Protection & Privacy- Compliance ensures that sensitive information is handled securely, preventingdata breachesandunauthorized access.
Risk Reduction- Following compliance standards helps mitigate cybersecurity risks byimplementing security best practicessuch as encryption, access controls, and logging.
Business Reputation & Trust- Organizations that comply with standards buildcustomer confidence and industry credibility.
Audit Readiness- Security teams must ensure that logs, incidents, and processes align with compliance frameworks topass internal/external auditseasily.
How Does Splunk Enterprise Security (ES) Help with Compliance?
Splunk ES is aSecurity Information and Event Management (SIEM)tool that helps organizations meet compliance requirements by:
#Log Management & Retention- Stores and correlates security logs forauditability and forensic investigation.
#Real-time Monitoring & Alerts- Detects suspicious activity andalerts SOC teams.#Prebuilt Compliance Dashboards- Comes with out-of-the-box dashboards forPCI-DSS, GDPR, HIPAA, NIST 800-53, and other frameworks.#Automated Reporting- Generates reports that can be used forcompliance audits.
Example in Splunk ES:A security engineer can createcorrelation searches and risk-based alerting (RBA)to monitor and enforce compliance policies.
How Does Splunk SOAR Help Automate Compliance-Driven Security Processes?
Splunk SOAR (Security Orchestration, Automation, and Response) enhances compliance processes by:
#Automating Incident Response- Ensures that responses to security threats followpredefined compliance guidelines.#Automated Evidence Collection- Helps inaudit documentationby automatically collecting logs, alerts, and incident data.#Playbooks for Compliance Violations- Can automaticallydetect and remediatenon- compliant actions (e.g., blocking unauthorized access).
Example in Splunk SOAR:Aplaybookcan be configured to automaticallyrespond to an unencrypted database storing customer databy triggering a compliance violation alert and notifying the compliance team.
Why Not the Other Options?
#A. Integrating with legacy systems- While important,compliance is a higher priority. Security engineers shouldmodernizelegacy systems if they pose security risks.#C. Automating all workflows- Automation is beneficial, but it should not be prioritizedover security and compliance. Some security decisions requirehuman oversight.#D. Reducing the number of employees- Efficiency is important, butsecurity cannot be sacrificedto cut costs. Skilled SOC analysts and engineers arecritical to cybersecurity defense.
References & Learning Resources
#Splunk Docs - Security Essentials: https://docs.splunk.com/#Splunk ES Compliance Dashboards:
https://splunkbase.splunk.com/app/3435/#Splunk SOAR Playbooks for Compliance: https://www.splunk.com/en_us/products/soar.html#NIST Cybersecurity Framework & Splunk Integration: https://www.nist.gov/cyberframework

NEW QUESTION # 32
Which Splunk configuration ensures events are parsed and indexed only once for optimal storage?

A. Index time transformations
B. Summary indexing
C. Universal forwarder
D. Search head clustering

Answer: A

Explanation:
Why Use Index-Time Transformations for One-Time Parsing & Indexing?
Splunk parses and indexes data once during ingestion to ensure efficient storage and search performance.
Index-time transformations ensure that logs are:
#Parsed, transformed, and stored efficiently before indexing.#Normalized before indexing, so the SOC team doesn't need to clean up fields later.#Processed once, ensuring optimal storage utilization.
#Example of Index-Time Transformation in Splunk:#Scenario: The SOC team needs to mask sensitive data in security logs before storing them in Splunk.#Solution: Use anINDEXED_EXTRACTIONSrule to:
Redact confidential fields (e.g., obfuscate Social Security Numbers in logs).
Rename fields for consistency before indexing.

NEW QUESTION # 33
What is an essential step in building effective dashboards for program analytics?

A. Avoiding the use of filters and tokens
B. Applying accelerated data models for better performance
C. Limiting the number of visualizations
D. Using predefined templates without modification

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 # 34
What is the role of aggregation policies in correlation searches?

A. To group related notable events for analysis
B. To index events from multiple sources
C. To normalize event fields for dashboards
D. To automate responses to critical events

Answer: A

Explanation:
Aggregation policies in Splunk Enterprise Security (ES) are used to group related notable events, reducing alert fatigue and improving incident analysis.
Role of Aggregation Policies in Correlation Searches:
Group Related Notable Events (A)
Helps SOC analysts see a single consolidated event instead of multiple isolated alerts.
Uses common attributes like user, asset, or attack type to aggregate events.
Improves Incident Response Efficiency
Reduces the number of duplicate alerts, helping analysts focus on high-priority threats.

NEW QUESTION # 35
......

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