[Jun 12, 2026] SPLK-5002 Exam Dumps PDF Updated Dump from Fast2test Guaranteed Success
Pass Your Splunk Exam with SPLK-5002 Exam Dumps
Splunk SPLK-5002 Exam Syllabus Topics:
| Topic | Details |
|---|---|
| Topic 1 |
|
| Topic 2 |
|
| Topic 3 |
|
| Topic 4 |
|
| Topic 5 |
|
NEW QUESTION # 65
Based on the provided screenshot, it's discovered that different machines or accounts have been associated with the shown threat objects. Enterprise Security has identified that these machines and accounts all point back to one owner - Fyodor. Which two frameworks in ES are responsible for programmatically associating this information together?
- A. Risk, Incident Review
- B. Risk, Assets & Identities
- C. Threat Intelligence, Assets & Identities
- D. Threat Intelligence, Risk
Answer: B
Explanation:
The Risk framework aggregates risky behaviors and assigns risk scores to users, systems, or accounts, while the Assets & Identities framework enriches events by correlating them with identity and asset information. Together, they programmatically associate different machines and accounts back to a single owner, as shown with Fyodor in the screenshot.
NEW QUESTION # 66
When should a detection be reviewed or retuned after deployment?
- A. Every 30 days.
- B. As defined by the established detection lifecycle.
- C. Only if it has generated a large amount of false positives.
- D. Only if it hasn't generated a finding after several weeks.
Answer: B
Explanation:
A detection should be reviewed or retuned as defined by the established detection lifecycle (DDLC). This ensures detections are consistently evaluated for accuracy, effectiveness, and alignment with evolving threats, rather than only reacting to false positives or inactivity.
NEW QUESTION # 67
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)
- A. Monitoring data ingestion rates
- B. Increasing indexer capacity
- C. Testing API connectivity
- D. Verifying authentication methods
- E. Evaluating automated action performance
Answer: C,D,E
Explanation:
Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
#Key Features for Validating Integrations
1##Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.).
Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2##Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3##Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform.
Helps optimize playbook execution time and response accuracy.
#Incorrect Answers & Explanations
B: Monitoring data ingestion rates # Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E: Increasing indexer capacity # This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
#Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations
NEW QUESTION # 68
What are key benefits of using summary indexing in Splunk? (Choose two)
- A. Increases data retention period
- B. Provides automatic field extraction during indexing
- C. Improves search performance on aggregated data
- D. Reduces storage space required for raw data
Answer: A,C
Explanation:
Summary indexing in Splunk improves search efficiency by storing pre-aggregated data, reducing the need to process large datasets repeatedly.
Key Benefits of Summary Indexing:
Improves Search Performance on Aggregated Data (B)
Reduces query execution time by storing pre-calculated results.
Helps SOC teams analyze trends without running resource-intensive searches.
Increases Data Retention Period (D)
Raw logs may have short retention periods, but summary indexes can store key insights for longer.
Useful for historical trend analysis and compliance reporting.
NEW QUESTION # 69
What is the primary function of summary indexing in Splunk reporting?
- A. Enhancing the accuracy of alerts
- B. Storing unprocessed log data
- C. Creating pre-aggregated data for faster reporting
- D. Normalizing raw data for analysis
Answer: C
Explanation:
Primary Function of Summary Indexing in Splunk Reporting
Summary indexing allows pre-aggregation of data to improve performance and speed up reports.
#Why Use Summary Indexing?
Reduces processing time by storing computed results instead of raw data.
Helps SOC teams generate reports faster and optimize search performance.
Example:
Instead of searching millions of firewall logs in real-time, a summary index stores daily aggregated counts of blocked IPs.
#Incorrect Answers:
A: Storing unprocessed log data # Raw logs are stored in primary indexes, not summary indexes.
C: Normalizing raw data for analysis # Normalization is handled by CIM and data models.
D: Enhancing the accuracy of alerts # Summary indexing improves reporting performance, not alert accuracy.
#Additional Resources:
Splunk Summary Indexing Guide
Optimizing SIEM Reports in Splunk
NEW QUESTION # 70
When creating a case in Splunk SOAR, which action should be taken to correlate various findings (risk notables) to ensure all are actioned?
- A. Search Splunk Enterprise Security for all related events based on key fields in a risk notable and select how to process the results to decide which events to merge into the current investigation.
- B. Search Splunk Enterprise Security for similar or duplicate events based on the threat_object field in a risk notable.
- C. Search Splunk Enterprise Security for all related events based on key fields in a notable and select how to process the results to decide which events to merge into the current investigation.
- D. Search Splunk Enterprise Security for similar or duplicate events based on the risk_object field in a risk notable.
Answer: A
Explanation:
When creating a case in Splunk SOAR, correlation is achieved by searching Splunk Enterprise Security for all related events based on key fields in a risk notable, then deciding how to process and merge those events into the investigation. This ensures that all relevant risk notables are actioned together for a complete response.
NEW QUESTION # 71
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?
- A. Optimize search head clustering.
- B. Reconfigure the props.conf file.
- C. Increase the indexer memory allocation.
- D. Review forwarder logs for queue blockages.
Answer: D
Explanation:
If there is a delay in data being indexed from a remote location, even though the Universal Forwarder (UF) is correctly configured, the issue is likely a queue blockage or network latency.
Steps to Diagnose and Fix Forwarder Delays:
Check Forwarder Logs (splunkd.log) for Queue Issues (A)
Look for messages likeTcpOutAutoLoadBalancedorQueue is full.
If queues are full, events are stuck at the forwarder and not reaching the indexer.
Monitor Forwarder Health Usingmetrics.log
Useindex=_internal source=*metrics.log* group=queueto check queue performance.
NEW QUESTION # 72
What are the essential components of risk-based detections in Splunk?
- A. Summary indexing, tags, and event types
- B. Risk modifiers, risk objects, and risk scores
- C. Source types, correlation searches, and asset groups
- D. Alerts, notifications, and priority levels
Answer: B
Explanation:
What Are Risk-Based Detections in Splunk?
Risk-based detections in Splunk Enterprise Security (ES) assign risk scores to security events based on threat severity and asset criticality.
#Key Components of Risk-Based Detections:1##Risk Modifiers - Adjusts risk scores based on event type (e.
g., failed logins, malware detections).2##Risk Objects - Entities associated with security events (e.g., users, IPs, devices).3##Risk Scores - Numerical values indicating the severity of a risk.
#Example in Splunk Enterprise Security:#Scenario: A high-privilege account (Admin) fails multiple logins from an unusual location.#Splunk ES applies risk-based detection:
Failed logins add +10 risk points
Login from a suspicious country adds +15 points
Total risk score exceeds 25 # Triggers an alert
Why Not the Other Options?
#B. Summary indexing, tags, and event types - Summary indexing stores precomputed data, but doesn't drive risk-based detection.#C. Alerts, notifications, and priority levels - Important, but risk-based detection is based on scoring, not just alerts.#D. Source types, correlation searches, and asset groups - Helps in data organization, but not specific to risk-based detections.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Risk-Based Detections
& Scoring in Splunk: https://www.splunk.com/en_us/blog/security/risk-based-alerting.html#Best Practices for Risk Scoring in SOC Operations: https://splunkbase.splunk.com
NEW QUESTION # 73
One of the goals of a detection engineer is to facilitate the triage process by providing the analyst as much context as possible. One way of accomplishing this is to provide context options through the use of which of the following settings?
- A. Risk Analysis Adaptive Response Action
- B. Correlation Search Name
- C. Risk Object Name
- D. Drill-down search
Answer: D
Explanation:
A drill-down search provides analysts with additional context during triage by allowing them to pivot directly from a detection or notable to a more detailed search. This helps streamline investigations and reduces the time needed to gather supporting information.
NEW QUESTION # 74
Which configurations are required for data normalization in Splunk?(Choosetwo)
- A. transforms.conf
- B. authorize.conf
- C. eventtypes.conf
- D. props.conf
- E. savedsearches.conf
Answer: A,D
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 # 75
When developing security metrics, why would a Key Performance Indicator (KPI) that focuses on total perimeter firewall blocks be an ineffective metric?
- A. Perimeter firewalls should be measured on both the number of connections that they permit as well as the number they block.
- B. This a Key Result Indicator, not a KPI. It is a metric that is measuring the results of the perimeter firewall's actions, not the performance of the firewall.
- C. The metric is too high level, it should be broken down by the type of block. For example, blocks of remote systems that have repeated failed connections to services that do not exist.
- D. Perimeter firewalls are exposed on the internet directly and thus subject to automated scanners and attack tools.
Answer: D
Explanation:
A KPI based on total perimeter firewall blocks is ineffective because perimeter firewalls are constantly exposed to the internet and subject to automated scans and attack tools, which can generate very high block counts. This inflates the metric with noise, making it a poor indicator of actual security performance or risk reduction.
NEW QUESTION # 76
What are essential steps in developing threat intelligence for a security program?(Choosethree)
- A. Collecting data from trusted sources
- B. Conducting regular penetration tests
- C. Analyzing and correlating threat data
- D. Creating dashboards for executives
- E. Operationalizing intelligence through workflows
Answer: A,C,E
Explanation:
Threat intelligence in Splunk Enterprise Security (ES) enhances SOC capabilities by identifying known attack patterns, suspicious activity, and malicious indicators.
Essential Steps in Developing Threat Intelligence:
Collecting Data from Trusted Sources (A)
Gather data from threat intelligence feeds (e.g., STIX, TAXII, OpenCTI, VirusTotal, AbuseIPDB).
Include internal logs, honeypots, and third-party security vendors.
Analyzing and Correlating Threat Data (C)
Use correlation searches to match known threat indicators against live data.
Identify patterns in network traffic, logs, and endpoint activity.
Operationalizing Intelligence Through Workflows (E)
Automate responses using Splunk SOAR (Security Orchestration, Automation, and Response).
Enhance alert prioritization by integrating intelligence into risk-based alerting (RBA).
NEW QUESTION # 77
Risk scores are associated with how many levels of risk in Enterprise Security by default?
- A. (5) Info, Low, Medium, High, Critical
- B. (4) Info, Medium, High, Critical
- C. (3) Low, Medium, High
- D. (6) Info, Low, Medium, High, Critical, Unknown
Answer: A
Explanation:
By default, Splunk Enterprise Security associates risk scores with five levels: Info, Low, Medium, High, and Critical. These levels help prioritize security events and focus analyst attention on the most impactful risks.
NEW QUESTION # 78
Which of the following is a methodology to help prevent malicious lateral movement?
- A. Zero Trust
- B. Breakglass
- C. Lockheed Martin Cyber Kill Chain
- D. MITRE ATT&CK
Answer: A
Explanation:
Zero Trust is a security methodology that helps prevent malicious lateral movement by enforcing the principle of "never trust, always verify." It restricts access based on continuous verification, least privilege, and microsegmentation, making it harder for attackers to move laterally within the network.
NEW QUESTION # 79
Which elements are critical for documenting security processes?(Choosetwo)
- A. Incident response playbooks
- B. Customer satisfaction surveys
- C. Detailed event logs
- D. Visual workflow diagrams
Answer: A,D
Explanation:
Effective documentation ensures that security teams canstandardize response procedures, reduce incident response time, and improve compliance.
#1. Visual Workflow Diagrams (B)
Helpsmap out security processesin an easy-to-understand format.
Useful for SOC analysts, engineers, and auditors to understandincident escalation procedures.
Example:
Incident flow diagramsshowing escalation fromTier 1 SOC analysts # Threat hunters # Incident response teams.
#2. Incident Response Playbooks (C)
Definesstep-by-step response actionsfor security incidents.
Standardizes how teams shoulddetect, analyze, contain, and remediate threats.
Example:
ASOAR playbookfor handlingphishing emails(e.g., extract indicators, check sandbox results, quarantine email).
#Incorrect Answers:
A: Detailed event logs# Logs areessential for investigationsbut do not constituteprocess documentation.
D: Customer satisfaction surveys# Not relevant tosecurity process documentation.
#Additional Resources:
NIST Cybersecurity Framework - Incident Response
Splunk SOAR Playbook Documentation
NEW QUESTION # 80
When generating documentation for a security program, what key element should be included?
- A. Organizational hierarchy chart
- B. Financial cost breakdown
- C. Vendor contract details
- D. Standard operating procedures (SOPs)
Answer: D
Explanation:
Key Elements of Security Program Documentation
A security program's documentation ensures consistency, compliance, and efficiency in cybersecurity operations.
#Why Include Standard Operating Procedures (SOPs)?
Defines step-by-step processesfor security tasks.
Ensures security teams followstandardized workflowsfor handling incidents, vulnerabilities, and monitoring.
Supportscompliance with regulationslikeNIST, ISO 27001, and CIS controls.
Example:
SOP forincident responseoutlines how analysts escalate security threats.
#Incorrect Answers:
A: Vendor contract details# Vendor agreements are important butnot core to a security program's documentation.
B: Organizational hierarchy chart# Useful for internal structure butnot essential for security documentation.
D: Financial cost breakdown# Related to budgeting, not security operations.
#Additional Resources:
NIST Security Documentation Framework
Splunk Security Operations Guide
NEW QUESTION # 81
When building detections using the Authentication Data Model, which values are recommended for use against the actions field?
- A. allowed, blocked, processing, error
- B. success, denied, pending, error
- C. success, failure, pending, error
- D. allowed, blocked, teardown, error
Answer: C
Explanation:
In the Authentication Data Model, the recommended values for the action field are success, failure, pending, and error. These standardized values ensure consistent mapping across authentication data sources for accurate detection and reporting.
NEW QUESTION # 82
What are the main steps of the Splunk data pipeline?(Choosethree)
- A. Indexing
- B. Parsing
- C. Visualization
- D. Input phase
- E. Alerting
Answer: A,B,D
Explanation:
The Splunk Data Pipeline consists of multiple stages that process incoming data from ingestion to visualization.
Main Steps of the Splunk Data Pipeline:
Input Phase (C)
Splunk collects raw data from logs, applications, network traffic, and endpoints.
Supports various data sources like syslog, APIs, cloud services, and agents (e.g., Universal Forwarders).
Parsing (D)
Splunk breaks incoming data into events and extracts metadata fields.
Removes duplicates, formats timestamps, and applies transformations.
Indexing (A)
Stores parsed events into indexes for efficient searching.
Supports data retention policies, compression, and search optimization.
NEW QUESTION # 83
A security team needs a dashboard to monitor incident resolution times across multiple regions.
Whichfeature should they prioritize?
- A. Using static panels for historical trends
- B. Disabling drill-down for simplicity
- C. Including all raw data logs for transparency
- D. Real-time filtering by region
Answer: D
Explanation:
A real-time incident dashboard helps SOC teams track resolution times by region, severity, and response efficiency.
#1. Real-time Filtering by Region (A)
Allows dynamic updates on incident trends across different locations.
Helps SOC teams identify regional attack patterns.
Example:
A dashboard with dropdown filters to switch between:
North America # Incident MTTR (Mean Time to Respond): 2 hours.
Europe # Incident MTTR: 5 hours.
#Incorrect Answers:
B: Including all raw data logs for transparency # Dashboards should show summarized insights, not raw logs.
C: Using static panels for historical trends # Static panels don't allow real-time updates.
D: Disabling drill-down for simplicity # Drill-down allows deeper investigation into regional trends.
#Additional Resources:
Splunk Dashboard Design Best Practices
NEW QUESTION # 84
While working in Mission Control, an analyst is looking to add enrichment and contextualize the finding that is being worked. If they were to click the execute icon next to the
"Mission_Control_Identifier_Reputation_Analysis" playbook, how many playbooks would execute?
- A. At least 1 playbook
- B. None
- C. 1 playbook
- D. Unknown
Answer: C
Explanation:
Clicking the execute icon next to "Mission_Control_Identifier_Reputation_Analysis" triggers exactly 1 playbook. In Mission Control, each listed playbook is a discrete automation, so selecting it runs only that specific playbook for enrichment and contextualization.
NEW QUESTION # 85
What methods improve risk and detection prioritization?(Choosethree)
- A. Incorporating business context into decisions
- B. Using predefined alert templates
- C. Enforcing strict search head resource limits
- D. Assigning risk scores to assets and events
- E. Automating detection tuning
Answer: A,D,E
Explanation:
Risk and detection prioritization in Splunk Enterprise Security (ES) helps SOC analysts focus on the most critical threats. By assigning risk scores, integrating business context, and automating detection tuning, organizations can prioritize security incidents efficiently.
Methods to Improve Risk and Detection Prioritization:
Assigning Risk Scores to Assets and Events (A)
Uses Risk-Based Alerting (RBA) to prioritize high-risk activities based on behavior and history.
Helps SOC teams focus on true threats instead of isolated events.
Incorporating Business Context into Decisions (C)
Adds context from asset criticality, user roles, and business impact.
Ensures alerts are ranked based on their potential business impact.
Automating Detection Tuning (D)
Uses machine learning and adaptive response actions to reduce false positives.
Dynamically adjusts alert thresholds based on evolving threat patterns.
NEW QUESTION # 86
What should a security engineer prioritize when building a new security process?
- A. Ensuring it aligns with compliance requirements
- B. Integrating it with legacy systems
- C. Automating all workflows within the process
- D. Reducing the overall number of employees required
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 # 87
Below is an example of a sysmon process create log. Which EventCode would be associated to this log entry?
- A. EventCode=4
- B. EventCode=1
- C. EventCode=2
- D. EventCode=3
Answer: B
Explanation:
In Sysmon, EventCode=1 corresponds to a Process Create event. The log provided shows details of a new process creation (powershell.exe) including ProcessGuid, ProcessId, CommandLine, ParentProcessId, and ParentImage, which are all fields specific to a Process Create event.
NEW QUESTION # 88
......
New Real SPLK-5002 Exam Dumps Questions: https://www.fast2test.com/SPLK-5002-premium-file.html
SPLK-5002 Exam Dumps - Splunk Practice Test Questions: https://drive.google.com/open?id=14U97pkKnEdpGKCsGTR2DagOCdCoNkirC