[Sep-2025] Updated and Accurate SPLK-5002 Questions & Answers for passing the exam Quickly
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NEW QUESTION # 10
What is the purpose of using data models in building dashboards?
- A. To reduce storage usage on Splunk instances
- B. To store raw data for compliance purposes
- C. To provide a consistent structure for dashboard queries
- D. To compress indexed data
Answer: C
Explanation:
Why Use Data Models in Dashboards?
SplunkData Modelsallow dashboards toretrieve structured, normalized data quickly, improving search performance and accuracy.
#How Data Models Help in Dashboards?(AnswerB)#Standardized Field Naming- Ensures that queries always useconsistent field names(e.g.,src_ipinstead ofsource_ip).#Faster Searches- Data models allow dashboards torun structured searches instead of raw log queries.#Example:ASOC dashboard for user activity monitoringuses a CIM-compliantAuthentication Data Model, ensuring that querieswork across different log sources.
Why Not the Other Options?
#A. To store raw data for compliance purposes- Raw data is stored in indexes,not data models.#C. To compress indexed data- Data modelsstructuredata but donot perform compression.#D. To reduce storage usage on Splunk instances- Data modelshelp with search performance, not storage reduction.
References & Learning Resources
#Splunk Data Models for Dashboard Optimization: https://docs.splunk.com/Documentation/Splunk/latest
/Knowledge/Aboutdatamodels#Building Efficient Dashboards Using Data Models: https://splunkbase.splunk.
com#Using CIM-Compliant Data Models for Security Analytics: https://www.splunk.com/en_us/blog/tips- and-tricks
NEW QUESTION # 11
Which REST API actions can Splunk perform to optimize automation workflows?(Choosetwo)
- A. PUT for updating index configurations
- B. POST for creating new data entries
- C. GET for retrieving search results
- D. DELETE for archiving historical data
Answer: B,C
Explanation:
The Splunk REST API allows programmatic access to Splunk's features, helping automate security workflows in a Security Operations Center (SOC).
Key REST API Actions for Automation:
POST for creating new data entries (A)
Used to send logs, alerts, or notable events to Splunk.
Essential for integrating external security tools with Splunk.
GET for retrieving search results (C)
Fetches logs, alerts, and notable event details programmatically.
Helps automate security monitoring and incident response.
NEW QUESTION # 12
A company's Splunk setup processes logs from multiple sources with inconsistent field naming conventions.
Howshould the engineer ensure uniformity across data for better analysis?
- A. Configure index-time data transformations.
- B. Apply Common Information Model (CIM) data models for normalization.
- C. Use data model acceleration for real-time searches.
- D. Create field extraction rules at search time.
Answer: B
Explanation:
Why Use CIM for Field Normalization?
When processing logs from multiple sources with inconsistent field names, the best way to ensure uniformity is to use Splunk's Common Information Model (CIM).
#Key Benefits of CIM for Normalization:
Ensures that different field names (e.g., src_ip, ip_src, source_address) are mapped to a common schema.
Allows security teams to run a single search query across multiple sources without manual mapping.
Enables correlation searches in Splunk Enterprise Security (ES) for better threat detection.
Example Scenario in a SOC:
#Problem: The SOC team needs to correlate firewall logs, cloud logs, and endpoint logs for failed logins.
#Without CIM: Each log source uses a different field name for failed logins, requiring multiple search queries.
#With CIM: All failed login events map to the same standardized field (e.g., action="failure"), allowing one unified search query.
Why Not the Other Options?
#A. Create field extraction rules at search time - Helps with parsing data but doesn't standardize field names across sources.#B. Use data model acceleration for real-time searches - Accelerates searches but doesn't fix inconsistent field naming.#D. Configure index-time data transformations - Changes fields at indexing but is less flexible than CIM's search-time normalization.
References & Learning Resources
#Splunk CIM for Normalization: https://docs.splunk.com/Documentation/CIM#Splunk ES CIM Field Mappings: https://splunkbase.splunk.com/app/263#Best Practices for Log Normalization: https://www.splunk.
com/en_us/blog/tips-and-tricks
NEW QUESTION # 13
Which practices strengthen the development of Standard Operating Procedures (SOPs)?(Choosethree)
- A. Collaborating with cross-functional teams
- B. Regular updates based on feedback
- C. Including detailed step-by-step instructions
- 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 # 14
What feature allows you to extract additional fields from events at search time?
- A. Search-time field extraction
- B. Event parsing
- C. Data modeling
- D. Index-time field extraction
Answer: A
Explanation:
Splunk allows dynamic field extraction to enhance data analysis without modifying raw indexed data.
Search-Time Field Extraction:
Extracts fields on-demand when running searches.
Uses Splunk's Field Extraction Engine (rex,spath, or automatic field discovery).
Minimizes indexing overhead by keeping the raw data unchanged.
NEW QUESTION # 15
What are key benefits of using summary indexing in Splunk? (Choose two)
- A. Improves search performance on aggregated data
- B. Provides automatic field extraction during indexing
- C. Reduces storage space required for raw data
- D. Increases data retention period
Answer: A,D
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 # 16
Which features of Splunk are crucial for tuning correlation searches?(Choosethree)
- A. Optimizing search queries
- B. Disabling field extractions
- C. Using thresholds and conditions
- D. Reviewing notable event outcomes
- E. Enabling event sampling
Answer: A,C,D
Explanation:
Correlation searches are a key component of Splunk Enterprise Security (ES) that help detect and alert on security threats by analyzing machine data across various sources. Proper tuning of these searches is essential to reduce false positives, improve performance, and enhance the accuracy of security detections in a Security Operations Center (SOC).
Crucial Features for Tuning Correlation Searches
#1. Using Thresholds and Conditions (A)
Thresholds help control the sensitivity of correlation searches by defining when a condition is met.
Setting appropriate conditions ensures that only relevant events trigger notable events or alerts, reducing noise.
Example:
Instead of alerting on any failed login attempt, a threshold of 5 failed logins within 10 minutes can be set to identify actual brute-force attempts.
#2. Reviewing Notable Event Outcomes (B)
Notable events are generated by correlation searches, and reviewing them is critical for fine-tuning.
Analysts in the SOC should frequently review false positives, duplicates, and low-priority alerts to refine rules.
Example:
If a correlation search is generating excessive alerts for normal user activity, analysts can modify it to exclude known safe behaviors.
#3. Optimizing Search Queries (E)
Efficient Splunk Search Processing Language (SPL) queries are crucial to improving search performance.
Best practices include:
Using index-time fields instead of extracting fields at search time.
Avoiding wildcards and unnecessary joins in searches.
Using tstats instead of regular searches to improve efficiency.
Example:
Using:
| tstats count where index=firewall by src_ip
instead of:
index=firewall | stats count by src_ip
can significantly improve performance.
Incorrect Answers & Explanation
#C. Enabling Event Sampling
Event sampling helps analyze a subset of events to improve testing but does not directly impact correlation search tuning in production.
In a SOC environment, tuning needs to be based on actual real-time event volumes, not just sampled data.
#D. Disabling Field Extractions
Field extractions are essential for correlation searches because they help identify and analyze security-related fields (e.g.,user,src_ip,dest_ip).
Disabling them would limit the visibility of important security event attributes, making detections less effective.
Additional Resources for Learning
#Splunk Documentation & Learning Paths:
Splunk ES Correlation Search Documentation
Best Practices for Writing SPL
Splunk Security Essentials - Use Cases
SOC Analysts Guide for Correlation Search Tuning
#Courses & Certifications:
Splunk Enterprise Security Certified Admin
Splunk Core Certified Power User
Splunk SOAR Certified Automation Specialist
NEW QUESTION # 17
Which Splunk feature helps in tracking and documenting threat trends over time?
- A. Event sampling
- B. Summary indexing
- C. Data model acceleration
- D. Risk-based dashboards
Answer: D
Explanation:
Why Use Risk-Based Dashboards for Tracking Threat Trends?
Risk-based dashboards in Splunk Enterprise Security (ES) provide a structured way to track threats over time.
#How Risk-Based Dashboards Help:#Aggregate security events into risk scores # Helps prioritize high-risk activities.#Show historical trends of threat activity.#Correlate multiple risk factors across different security events.
#Example in Splunk ES:#Scenario: A SOC team tracks insider threat activity over 6 months.#The Risk-Based Dashboard shows:
Users with rising risk scores over time.
Patterns of malicious behavior (e.g., repeated failed logins + data exfiltration).
Correlation between different security alerts (e.g., phishing clicks # malware execution).
Why Not the Other Options?
#A. Event sampling - Helps with performance optimization, not threat trend tracking.#C. Summary indexing
- Stores precomputed data but is not designed for tracking risk trends.#D. Data model acceleration - Improves search speed, but doesn't track security trends.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Tracking Security Trends Using Risk-Based Dashboards: https://splunkbase.splunk.com#How to Build Risk-Based Analytics in Splunk: https://www.splunk.com/en_us/blog/security
NEW QUESTION # 18
What methods improve risk and detection prioritization?(Choosethree)
- A. Automating detection tuning
- B. Incorporating business context into decisions
- C. Enforcing strict search head resource limits
- D. Using predefined alert templates
- E. Assigning risk scores to assets and events
Answer: A,B,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 # 19
How can you ensure that a specific sourcetype is assigned during data ingestion?
- A. Configure the sourcetype in the deployment server.
- B. Use props.conf to specify the sourcetype.
- C. Define the sourcetype in the search head.
- D. Use REST API calls to tag sourcetypes dynamically.
Answer: B
Explanation:
Why Useprops.confto Assign Sourcetypes?
In Splunk, sourcetypes define the format and structure of incoming data. Assigning the correct sourcetype ensures that logs are parsed, indexed, and searchable correctly.
#How Doesprops.confHelp?
props.confallows manual sourcetype assignment based on source or host.
Ensures that logs are indexed with the correct parsing rules (timestamps, fields, etc.).
#Example Configuration inprops.conf:
ini
CopyEdit
[source::/var/log/auth.log]
sourcetype = auth_logs
#This forces all logs from/var/log/auth.logto be assigned sourcetype=auth_logs.
Why Not the Other Options?
#B. Define the sourcetype in the search head - Sourcetypes are assigned at ingestion time, not at search time.
#C. Configure the sourcetype in the deployment server - The deployment server manages configurations, butprops.confis what actually assigns sourcetypes.#D. Use REST API calls to tag sourcetypes dynamically - REST APIs help modify configurations, but they don't assign sourcetypes directly during ingestion.
References & Learning Resources
#Splunkprops.confDocumentation:https://docs.splunk.com/Documentation/Splunk/latest/Admin
/Propsconf#Best Practices for Sourcetype Management: https://www.splunk.com/en_us/blog/tips-and- tricks#Splunk Data Parsing Guide: https://splunkbase.splunk.com
NEW QUESTION # 20
What methods can improve dashboard usability for security program analytics?(Choosethree)
- A. Standardizing color coding for alerts
- B. Using drill-down options for detailed views
- C. Adding context-sensitive filters
- D. Limiting the number of panels on the dashboard
- E. Avoiding performance optimization
Answer: A,B,C
Explanation:
Methods to Improve Dashboard Usability in Security Analytics
A well-designed Splunk security dashboard helps SOC teams quickly identify, analyze, and respond to security threats.
#1. Using Drill-Down Options for Detailed Views (A)
Allows analysts to click on high-level metrics and drill down into event details.
Helps teams pivot from summary statistics to specific security logs.
Example:
Clicking on a failed login trend chart reveals specific failed login attempts per user.
#2. Standardizing Color Coding for Alerts (B)
Consistent color usage enhances readability and priority identification.
Example:
Red # Critical incidents
Yellow # Medium-risk alerts
Green # Resolved issues
#3. Adding Context-Sensitive Filters (D)
Filters allow users to focus on specific security events without running new searches.
Example:
A dropdown filter for "Event Severity" lets analysts view only high-risk events.
#Incorrect Answers:
C: Limiting the number of panels on the dashboard # Dashboards should be optimized, not restricted.
E: Avoiding performance optimization # Performance tuning is essential for responsive dashboards.
#Additional Resources:
Splunk Dashboard Design Best Practices
Optimizing Security Dashboards in Splunk
NEW QUESTION # 21
Which REST API method is used to retrieve data from a Splunk index?
- A. DELETE
- B. POST
- C. PUT
- D. GET
Answer: D
Explanation:
The GET method in the Splunk REST API is used to retrieve data from a Splunk index. It allows users and automated scripts to fetch logs, alerts, or query results programmatically.
Key Points About GET in Splunk API:
Used for searching and retrieving logs from indexes.
Can be used to get search results, job status, and Splunk configuration details.
Common API endpoints include:
/services/search/jobs/{search_id}/results- Retrieves results of a completed search.
/services/search/jobs/export- Exports search results in real-time.
NEW QUESTION # 22
Which Splunk feature enables integration with third-party tools for automated response actions?
- A. Event sampling
- B. Summary indexing
- C. Workflow actions
- D. Data model acceleration
Answer: C
Explanation:
Security teams use Splunk Enterprise Security (ES) and Splunk SOAR to integrate with firewalls, endpoint security, and SIEM tools for automated threat response.
#Workflow Actions (B) - Key Integration Feature
Allows analysts to trigger automated actions directly from Splunk searches and dashboards.
Can integrate with SOAR playbooks, ticketing systems (e.g., ServiceNow), or firewalls to take action.
Example:
Block an IP on a firewall from a Splunk dashboard.
Trigger a SOAR playbook for automated threat containment.
#Incorrect Answers:
A: Data Model Acceleration # Speeds up searches, but doesn't handle integrations.
C: Summary Indexing # Stores summarized data for reporting, not automation.
D: Event Sampling # Reduces search load, but doesn't trigger automated actions.
#Additional Resources:
Splunk Workflow Actions Documentation
Automating Response with Splunk SOAR
NEW QUESTION # 23
What is the main purpose of incorporating threat intelligence into a security program?
- A. To proactively identify and mitigate potential threats
- B. To generate incident reports for stakeholders
- C. To archive historical events for compliance
- D. To automate response workflows
Answer: A
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 # 24
What is the purpose of leveraging REST APIs in a Splunk automation workflow?
- A. To configure storage retention policies
- B. To generate predefined reports
- C. To integrate Splunk with external applications and automate interactions
- D. To compress data before indexing
Answer: C
Explanation:
Splunk's REST API allows external applications and security tools to automate workflows, integrate with Splunk, and retrieve/search data programmatically.
#Why Use REST APIs in Splunk Automation?
Automates interactions between Splunk and other security tools.
Enables real-time data ingestion, enrichment, and response actions.
Used in Splunk SOAR playbooks for automated threat response.
Example:
A security event detected in Splunk ES triggers a Splunk SOAR playbook via REST API to:
Retrieve threat intelligence from VirusTotal.
Block the malicious IP in Palo Alto firewall.
Create an incident ticket in ServiceNow.
#Incorrect Answers:
A: To configure storage retention policies # Storage is managed via Splunk indexing, not REST APIs.
C: To compress data before indexing # Splunk does not use REST APIs for data compression.
D: To generate predefined reports # Reports are generated using Splunk's search and reporting functionality, not APIs.
#Additional Resources:
Splunk REST API Documentation
Automating Workflows with Splunk API
NEW QUESTION # 25
What are key elements of a well-constructed notable event?(Choosethree)
- A. Minimal use of contextual data
- B. Meaningful descriptions
- C. Relevant field extractions
- D. Proper categorization
Answer: B,C,D
Explanation:
A notable event in Splunk Enterprise Security (ES) represents a significant security detection that requires investigation.
#Key Elements of a Good Notable Event:#Meaningful Descriptions (Answer A) Helps analysts understand the event at a glance.
Example: Instead of "Possible attack detected," use "Multiple failed admin logins from foreign IP address".
#Proper Categorization (Answer C)
Ensures events are classified correctly (e.g., Brute Force, Insider Threat, Malware Activity).
Example: A malicious file download alert should be categorized as "Malware Infection", not just "General Alert".
#Relevant Field Extractions (Answer D)
Ensures that critical details (IP, user, timestamp) are present for SOC analysis.
Example: If an alert reports failed logins, extracted fields should include username, source IP, and login method.
Why Not the Other Options?
#B. Minimal use of contextual data - More context helps SOC analysts investigate faster.
References & Learning Resources
#Building Effective Notable Events in Splunk ES: https://docs.splunk.com/Documentation/ES#SOC Best Practices for Security Alerts: https://splunkbase.splunk.com#How to Categorize Security Alerts Properly:
https://www.splunk.com/en_us/blog/security
NEW QUESTION # 26
What is the role of aggregation policies in correlation searches?
- A. To automate responses to critical events
- B. To group related notable events for analysis
- C. To normalize event fields for dashboards
- D. To index events from multiple sources
Answer: B
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 # 27
What Splunk process ensures that duplicate data is not indexed?
- A. Indexer clustering
- B. Data deduplication
- C. Event parsing
- D. Metadata tagging
Answer: C
Explanation:
Splunk prevents duplicate data from being indexed through event parsing, which occurs during the data ingestion process.
How Event Parsing Prevents Duplicate Data:
Splunk's indexer parses incoming data and assigns unique timestamps, metadata, and event IDs to prevent reindexing duplicate logs.
CRC Checks (Cyclic Redundancy Checks) are applied to avoid duplicate event ingestion.
Index-time filtering and transformation rules help detect and drop repeated data before indexing.
NEW QUESTION # 28
Which report type is most suitable for monitoring the success of a phishing campaign detection program?
- A. Weekly incident trend reports
- B. Risk score-based summary reports
- C. Real-time notable event dashboards
- D. SLA compliance reports
Answer: C
Explanation:
Why Use Real-Time Notable Event Dashboards for Phishing Detection?
Phishing campaigns require real-time monitoring to detect threats as they emerge and respond quickly.
#Why "Real-Time Notable Event Dashboards" is the Best Choice? (Answer B)#Shows live security alerts for phishing detections.#Enables SOC analysts to take immediate action (e.g., blocking malicious domains, disabling compromised accounts).#Uses correlation searches in Splunk Enterprise Security (ES) to detect phishing indicators.
#Example in Splunk:#Scenario: A company runs a phishing awareness campaign.#Real-time dashboards track:
How many employees clicked on phishing links.
How many users reported phishing emails.
Any suspicious activity (e.g., account takeovers).
Why Not the Other Options?
#A. Weekly incident trend reports - Helpful for analysis but not fast enough for phishing detection.#C. Risk score-based summary reports - Risk scores are useful but not designed for real-time phishing detection.#D.
SLA compliance reports - SLA reports measure performance but don't help actively detect phishing attacks.
References & Learning Resources
#Splunk ES Notable Events & Phishing Detection: https://docs.splunk.com/Documentation/ES#Real-Time Security Monitoring with Splunk: https://splunkbase.splunk.com#SOC Dashboards for Phishing Campaigns:
https://www.splunk.com/en_us/blog/tips-and-tricks
NEW QUESTION # 29
An organization uses MITRE ATT&CK to enhance its threat detection capabilities.
Howshould this methodology be incorporated?
- A. Rely solely on vendor-provided threat intelligence.
- B. Deploy it as a replacement for current detection systems.
- C. Develop custom detection rules based on attack techniques.
- D. Use it only for reporting after incidents.
Answer: C
Explanation:
MITRE ATT&CK is a threat intelligence framework that helps security teams map attack techniques to detection rules.
#1. Develop Custom Detection Rules Based on Attack Techniques (A)
Maps Splunk correlation searches to MITRE ATT&CK techniques to detect adversary behaviors.
Example:
To detect T1078 (Valid Accounts):
index=auth_logs action=failed | stats count by user, src_ip
If an account logs in from anomalous locations, trigger an alert.
#Incorrect Answers:
B: Use it only for reporting after incidents # MITRE ATT&CK should be used proactively for threat detection.
C: Rely solely on vendor-provided threat intelligence # Custom rules tailored to an organization's threat landscape are more effective.
D: Deploy it as a replacement for current detection systems # MITRE ATT&CK complements existing SIEM
/EDR tools, not replaces them.
#Additional Resources:
MITRE ATT&CK & Splunk
Using MITRE ATT&CK in SIEMs
NEW QUESTION # 30
What are the benefits of maintaining a detection lifecycle?(Choosetwo)
- A. Scaling the Splunk deployment effectively
- B. Detecting and eliminating outdated searches
- C. Ensuring detections remain relevant to evolving threats
- D. Automating the deployment of new detection logic
Answer: B,C
Explanation:
Why Maintain a Detection Lifecycle?
Adetection lifecycleensures that security alerts, correlation searches, and automation playbooks arecontinuously refinedto maintainaccuracy, efficiency, and relevanceagainst modern threats.
#1. Detecting and Eliminating Outdated Searches (Answer A)#Removes unnecessary or redundant correlation searchesthat may slow down performance.#Prevents false positivescaused by outdated detection logic.
#Example:A Splunk ES search for anold malware variantmay no longer be effective # it should be updated to detectnew techniques used by attackers.
#2. Ensuring Detections Remain Relevant to Evolving Threats (Answer C)#Regular updatesensure thatnew MITRE ATT&CK techniquesand threat indicators are included.#Example:If attackers start usingLiving-off- the-Land (LotL) techniques, security teams mustupdate detection rules to identify suspicious PowerShell activity.
Why Not the Other Options?
#B. Scaling the Splunk deployment effectively- Lifecycle management improvesdetection accuracy, notinfrastructure scalability.#D. Automating the deployment of new detection logic- Automation helps, but lifecycle management isabout reviewing and updating detections, not just deployment.
References & Learning Resources
#Detection Management in Splunk ES: https://docs.splunk.com/Documentation/ES#Updating Threat Detections Using MITRE ATT&CK in Splunk: https://attack.mitre.org/resources#Best Practices for SOC Detection Engineering: https://splunkbase.splunk.com
NEW QUESTION # 31
A security analyst needs to update the SOP for handling phishing incidents.
What should they prioritize?
- A. Reporting incidents to the executive board immediately
- B. Ensuring all reports are manually verified by analysts
- C. Documenting steps for user awareness training
- D. Automating the isolation of suspected phishing emails
Answer: C
Explanation:
Updating the SOP for Handling Phishing Incidents
AStandard Operating Procedure (SOP)should focus onprevention, detection, and response.
#1. Documenting Steps for User Awareness Training (C)
Training employeeshelps prevent phishing incidents.
Example:
Teach users toidentify phishing emails and report them via a Splunk SOAR playbook.
#Incorrect Answers:
A: Ensuring all reports are manually verified by analysts#Automation(via SOAR) should be used forinitial triage.
B: Automating the isolation of suspected phishing emails# Automation is useful, butuser education prevents incidents.
D: Reporting incidents to the executive board immediately#Only major security breachesshould beescalated to executives.
#Additional Resources:
NIST Incident Response Guide
Splunk Phishing Detection Playbooks
NEW QUESTION # 32
Which configurations are required for data normalization in Splunk?(Choosetwo)
- A. transforms.conf
- B. authorize.conf
- C. savedsearches.conf
- D. eventtypes.conf
- E. props.conf
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 # 33
Which actions help to monitor and troubleshoot indexing issues?(Choosethree)
- A. Enable distributed search in Splunk Web.
- B. Use btool to check configurations.
- C. Monitor queues in the Monitoring Console.
- D. Review internal logs such as splunkd.log.
Answer: B,C,D
Explanation:
Indexing issues can cause search performance problems, data loss, and delays in security event processing.
#1. Use btool to Check Configurations (A)
Helps validate Splunk configurations related to indexing.
Example:
Checkindexes.confsettings:
splunk btool indexes list --debug
#2. Monitor Queues in the Monitoring Console (B)
Identifies indexing bottlenecks such as blocked queues, dropped events, or indexing lag.
Example:
Navigate to: Settings # Monitoring Console # Indexing Performance.
#3. Review Internal Logs Such as splunkd.log (C)
Thesplunkd.logfile contains indexing errors, disk failures, and queue overflows.
Example:
Use Splunk to search internal logs:
D: Enable distributed search in Splunk Web # Distributed search improves scalability, but does not troubleshoot indexing problems.
#Additional Resources:
Splunk Indexing Performance Guide
Using btool for Debugging
NEW QUESTION # 34
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