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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer |
| Exam Number: | SPLK-5002 |
| Exam Format: | Multiple choice, Multiple select, Hands-on lab simulation |
| Related Certifications: | Splunk Enterprise Security Certified Admin Splunk SOAR Certified Automation Developer Splunk Core Certified User |
| Exam Duration: | 120 minutes |
| Real Exam Qty: | 82 |
| Passing Score: | 65-70% (variable) |
| Available Languages: | English |
| Exam Price: | $200 USD |
| Certificate Validity Period: | 3 years |
| Sample Questions: | Splunk SPLK-5002 Sample Questions |
| Exam Way: | Online proctored exam at Pearson VUE testing centers or remote proctoring |
| Pre Condition: | Splunk Core Certified User, Splunk Enterprise Security Certified Admin, and Splunk SOAR Certified Automation Developer recommended; minimum 1-2 years hands-on Splunk security experience strongly advised |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html |
All exam questions that contained in our Splunk SPLK-5002 study engine you should know are written by our professional specialists with three versions to choose from: the PDF, the Software and the APP online. In case there are any changes happened to the Splunk SPLK-5002 Exam, the experts keep close eyes on trends of it and compile new updates constantly.
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NEW QUESTION # 81
What should a security engineer prioritize when building a new security process?
Answer: A
Explanation:
When a Security Engineer is building a new security process, their top priority should be ensuring that the process aligns with compliance 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 as GDPR, HIPAA, PCI-DSS, NIST, ISO 27001, and SOX. Non-compliance can lead to heavy fines and legal actions.
Data Protection & Privacy - Compliance ensures that sensitive information is handled securely, preventing data breaches and unauthorized access.
Risk Reduction - Following compliance standards helps mitigate cybersecurity risks by implementing security best practices such as encryption, access controls, and logging.
Business Reputation & Trust - Organizations that comply with standards build customer confidence and industry credibility.
Audit Readiness - Security teams must ensure that logs, incidents, and processes align with compliance frameworks to pass internal/external audits easily.
How Does Splunk Enterprise Security (ES) Help with Compliance?
Splunk ES is a Security Information and Event Management (SIEM) tool that helps organizations meet compliance requirements by:
Log Management & Retention - Stores and correlates security logs for auditability and forensic investigation.
Real-time Monitoring & Alerts - Detects suspicious activity and alerts SOC teams.
Prebuilt Compliance Dashboards - Comes with out-of-the-box dashboards for PCI-DSS, GDPR, HIPAA, NIST 800-53, and other frameworks.
Automated Reporting - Generates reports that can be used for compliance audits.
Example in Splunk ES:
A security engineer can create correlation 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 follow predefined compliance guidelines.
Automated Evidence Collection - Helps in audit documentation by automatically collecting logs, alerts, and incident data.
Playbooks for Compliance Violations - Can automatically detect and remediate non-compliant actions (e.g., blocking unauthorized access).
Example in Splunk SOAR:
A playbook can be configured to automatically respond to an unencrypted database storing customer data by triggering a compliance violation alert and notifying the compliance team.
NEW QUESTION # 82
Which action improves the effectiveness of notable events in Enterprise Security?
Answer: D
Explanation:
Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.
How to Improve Notable Events Effectiveness:
Apply suppression rules to filter out known false positives and reduce alert fatigue.
Refine correlation searches by adjusting thresholds and tuning event detection logic.
Leverage risk-based alerting (RBA) to prioritize high-risk events.
Use adaptive response actions to enrich events dynamically.
By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable. Thus, the correct answer is A. Applying suppression rules for false positives.
NEW QUESTION # 83
Which of the following should be the primary reference when designing a new playbook in Splunk SOAR?
Answer: B
Explanation:
The existing Standard Operating Procedure (SOP) should be the primary reference when designing a Splunk SOAR playbook. A playbook is fundamentally an automation implementation of an established operational process; therefore, the engineer should first understand the SOC-approved sequence of investigation, enrichment, decision, containment, escalation, and remediation steps before converting suitable portions into automated actions.
The SOP defines what should happen, in what order, under which conditions, and with what human approval requirements . Once that workflow is understood, deterministic and repeatable steps can be automated while judgment-intensive or high-impact actions can retain analyst approval gates. The supplied Cybersecurity Defense Engineer material supports this workflow-oriented design through its coverage of SOPs, Workbooks, response templates, and SOAR playbooks as mechanisms for standardizing and automating analyst processes.
MITRE ATT & CK is valuable for mapping adversary behavior and detection coverage, while CIS provides control guidance. Existing investigation actions may inform implementation, but none replaces the organization ' s approved operating procedure as the authoritative workflow definition.
Study Guide topics: SOPs, SOAR playbooks, workflow automation, Workbooks, response templates, analyst process standardization, automation guardrails.
NEW QUESTION # 84
What are the key components of Splunk's indexing process?(Choosethree)
Answer: A,B,C
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 # 85
Which configurations are required for data normalization in Splunk?(Choosetwo)
Answer: A,E
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 # 86
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