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The Splunk SPLK-5002 Certification is one of the most valuable certificates in the modern Splunk world. This Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) certification exam is designed to validate a candidate's skills and knowledge level. With this SPLK-5002 exam everyone whether he is a beginner or seasoned professional can not only validate their expertise but also get solid proof of their skills and knowledge. By doing this you can gain several personal and professional benefits.
Splunk SPLK-5002 Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 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
- 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 4
- 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 5
- 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.
Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q81-Q86):
NEW QUESTION # 81
What are key benefits of automating responses using SOAR?(Choosethree)
- A. Faster incident resolution
- B. Consistent task execution
- C. Reducing false positives
- D. Scaling manual efforts
- E. Eliminating all human intervention
Answer: A,B,D
Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) improves security operations by automating routine tasks.
#1. Faster Incident Resolution (A)
SOAR playbooks reduce response time from hours to minutes.
Example:
A malicious IP is automatically blocked in the firewall after detection.
#2. Scaling Manual Efforts (C)
Automation allows security teams to handle more incidents without increasing headcount.
Example:
Instead of manually reviewing phishing emails, SOAR triages them automatically.
#3. Consistent Task Execution (D)
Ensures standardized responses to security incidents.
Example:
Every malware alert follows the same containment process.
#Incorrect Answers:
B: Reducing false positives # SOAR automates response but does not inherently reduce false positives (SIEM tuning does).
E: Eliminating all human intervention # Human analysts are still needed for decision-making.
#Additional Resources:
Splunk SOAR Automation Guide
Best Practices for SOAR Implementation
NEW QUESTION # 82
Which configurations are required for data normalization in Splunk?(Choosetwo)
- A. authorize.conf
- B. transforms.conf
- C. props.conf
- D. savedsearches.conf
- E. eventtypes.conf
Answer: B,C
Explanation:
Configurations Required for Data Normalization in Splunk
Data normalization ensures consistent field naming and event structuring, especially for Splunk Common Information Model (CIM) compliance.
#1. props.conf (A)
Defines how data is parsed and indexed.
Controls field extractions, event breaking, and timestamp recognition.
Example:
Assigns custom sourcetypes and defines regex-based field extraction.
#2. transforms.conf (B)
Used for data transformation, lookup table mapping, and field aliasing.
Example:
Normalizes firewall logs by renaming src_ip # src to align with CIM.
#Incorrect Answers:
C: savedsearches.conf # Defines scheduled searches, not data normalization.
D: authorize.conf # Manages user permissions, not data normalization.
E: eventtypes.conf # Groups events into categories but doesn't modify data structure.
#Additional Resources:
Splunk Data Normalization Guide
Understanding props.conf and transforms.conf
NEW QUESTION # 83
How can you ensure efficient detection tuning?(Choosethree)
- A. Disable correlation searches for low-priority threats.
- B. Use detailed asset and identity information.
- C. Perform regular reviews of false positives.
- D. Automate threshold adjustments.
Answer: B,C,D
Explanation:
Ensuring Efficient Detection Tuning in Splunk Enterprise Security
Detection tuning is essential to minimize false positives and improve security visibility.
#1. Perform Regular Reviews of False Positives (A)
Reviewing false positives helps refine detection logic.
Analysts should analyze past alerts and adjust correlation rules.
Example:
Tuning a failed login correlation search to exclude known legitimate admin accounts.
#2. Use Detailed Asset and Identity Information (B)
Enriches detections with asset and user context.
Helps differentiate high-risk vs. low-risk security events.
Example:
A login from an executive's laptop is higher risk than from a test server.
#3. Automate Threshold Adjustments (D)
Dynamic thresholds adjust based on activity baselines.
Reduces false positives while maintaining security coverage.
Example:
A brute-force detection rule dynamically adjusts its alerting threshold based on normal user behavior.
C: Disable correlation searches for low-priority threats # Instead of disabling, adjust the rule sensitivity or lower alert severity.
#Additional Resources:
Splunk Security Essentials: Detection Tuning Guide
Tuning Correlation Searches in Splunk ES
NEW QUESTION # 84
What is the main purpose of incorporating threat intelligence into a security program?
- A. To generate incident reports for stakeholders
- B. To archive historical events for compliance
- C. To proactively identify and mitigate potential threats
- D. To automate response workflows
Answer: C
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 # 85
How can you incorporate additional context into notable events generated by correlation searches?
- A. By configuring additional indexers
- B. By using the dedup command in SPL
- C. By adding enriched fields during search execution
- D. By optimizing the search head memory
Answer: C
Explanation:
In Splunk Enterprise Security (ES), notable events are generated by correlation searches, which are predefined searches designed to detect security incidents by analyzing logs and alerts from multiple data sources. Adding additional context to these notable events enhances their value for analysts and improves the efficiency of incident response.
To incorporate additional context, you can:
Use lookup tables to enrich data with information such as asset details, threat intelligence, and user identity.
Leverage KV Store or external enrichment sources like CMDB (Configuration Management Database) and identity management solutions.
Apply Splunk macros orevalcommands to transform and enhance event data dynamically.
Use Adaptive Response Actions in Splunk ES to pull additional information into a notable event.
The correct answer is A. By adding enriched fields during search execution, because enrichment occurs dynamically during search execution, ensuring that additional fields (such as geolocation, asset owner, and risk score) are included in the notable event.
References:
Splunk ES Documentation on Notable Event Enrichment
Correlation Search Best Practices
Using Lookups for Data Enrichment
NEW QUESTION # 86
......
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