検証済みSPLK-5002問題集PDF資料 [2025]
最新のSPLK-5002実際の無料試験問題更新された85問あります
質問 # 36
Which actions can optimize case management in Splunk?(Choosetwo)
- A. Standardizing ticket creation workflows
- B. Reducing the number of search heads
- C. Integrating Splunk with ITSM tools
- D. Increasing the indexing frequency
正解：A、C
解説：
Effective case management in Splunk Enterprise Security (ES) helps streamline incident tracking, investigation, and resolution.
How to Optimize Case Management:
Standardizing ticket creation workflows (A)
Ensures consistency in how incidents are reported and tracked.
Reduces manual errors and improves collaboration between SOC teams.
Integrating Splunk with ITSM tools (C)
Automates the process of creating and updating tickets in ServiceNow, Jira, or Remedy.
Enables better tracking of incidents and response actions.
質問 # 37
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.
正解：C
解説：
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
質問 # 38
A security analyst needs to update the SOP for handling phishing incidents.
What should they prioritize?
- A. Documenting steps for user awareness training
- B. Reporting incidents to the executive board immediately
- C. Automating the isolation of suspected phishing emails
- D. Ensuring all reports are manually verified by analysts
正解：A
解説：
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
質問 # 39
What Splunk process ensures that duplicate data is not indexed?
- A. Event parsing
- B. Data deduplication
- C. Metadata tagging
- D. Indexer clustering
正解：A
解説：
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.
質問 # 40
During a high-priority incident, a user queries an index but sees incomplete results.
Whatis the most likely issue?
- A. Indexers have reached their queue capacity.
- B. Data normalization was not applied.
- C. The search head configuration is outdated.
- D. Buckets in the warm state are inaccessible.
正解：A
解説：
If a user queries an index during a high-priority incident but sees incomplete results, it is likely that the indexers are overloaded, causing queue bottlenecks.
Why Indexer Queue Capacity Issues Cause Incomplete Results:
When indexing queues fill up, incoming data cannot be processed efficiently.
Search results may be incomplete or delayed if events are still in the indexing queue and not fully written to disk.
Heavy search loads during incidents can also increase pressure on indexers.
How to Fix It:
Monitor indexing queues via the Monitoring Console (indexing>indexing performance).
Checkmetrics.logon indexers formax_queue_size_exceededwarnings.
Increase indexer capacity or optimize search scheduling to reduce load.
質問 # 41
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)
- A. Testing API connectivity
- B. Monitoring data ingestion rates
- C. Evaluating automated action performance
- D. Verifying authentication methods
- E. Increasing indexer capacity
正解：A、C、D
解説：
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
質問 # 42
A Splunk administrator needs to integrate a third-party vulnerability management tool to automate remediation workflows.
Whatis the most efficient first step?
- A. Use REST APIs to integrate the third-party tool with Splunk SOAR
- B. Set up a manual alerting system for vulnerabilities
- C. Configure custom dashboards to monitor vulnerabilities
- D. Write a correlation search for each vulnerability type
正解：A
解説：
Why Use REST APIs for Integration?
When integrating a third-party vulnerability management tool (e.g., Tenable, Qualys, Rapid7) with Splunk SOAR, using REST APIs is the most efficient and scalable approach.
#Why REST APIs?
APIs enable direct communication between Splunk SOAR and the third-party tool.
Allows automated ingestion of vulnerability data into Splunk.
Supports automated remediation workflows (e.g., patch deployment, firewall rule updates).
Reduces manual work by allowing Splunk SOAR to pull real-time data from the vulnerability tool.
Steps to Integrate a Third-Party Vulnerability Tool with Splunk SOAR Using REST API:
1##Obtain API Credentials - Get API keys or authentication tokens from the vulnerability management tool.
2##Configure REST API Integration - Use Splunk SOAR's built-in API connectors or create a custom REST API call.3##Ingest Vulnerability Data into Splunk - Map API responses to Splunk ES correlation searches.
4##Automate Remediation Playbooks - Build Splunk SOAR playbooks to:
Automatically open tickets for critical vulnerabilities.
Trigger patches or firewall rules for high-risk vulnerabilities.
Notify SOC analysts when a high-risk vulnerability is detected on a critical asset.
Example Use Case in Splunk SOAR:
#Scenario: The company uses Tenable.io for vulnerability management.#Splunk SOAR connects to Tenable's API and pulls vulnerability scan results.#If a critical vulnerability is found on a production server, Splunk SOAR:
Automatically creates a ServiceNow ticket for remediation.
Triggers a patching script to fix the vulnerability.
Updates Splunk ES dashboards for tracking.
Why Not the Other Options?
#A. Set up a manual alerting system for vulnerabilities - Manual alerting is inefficient and doesn't scale well.
#C. Write a correlation search for each vulnerability type - This would create too many rules; API integration allows real-time updates from the vulnerability tool.#D. Configure custom dashboards to monitor vulnerabilities - Dashboards provide visibility but don't automate remediation.
References & Learning Resources
#Splunk SOAR API Integration Guide: https://docs.splunk.com/Documentation/SOAR#Integrating Tenable, Qualys, Rapid7 with Splunk: https://splunkbase.splunk.com#REST API Automation in Splunk SOAR:
https://www.splunk.com/en_us/products/soar.html
質問 # 43
What is the primary purpose of Splunk SOAR (Security Orchestration, Automation, and Response)?
- A. To automate and orchestrate security workflows
- B. To provide threat intelligence feeds
- C. To accelerate data ingestion
- D. To improve indexing performance
正解：A
解説：
Splunk SOAR (Security Orchestration, Automation, and Response) helps SOC teams automate threat detection, investigation, and response by integrating security tools and orchestrating workflows.
Primary Purpose of Splunk SOAR:
Automates Security Tasks (B)
Reduces manual efforts by using playbooks to handle routine incidents automatically.
Accelerates threat mitigation by automating response actions (e.g., blocking malicious IPs, isolating endpoints).
Orchestrates Security Workflows (B)
Connects SIEM, threat intelligence, firewalls, endpoint security, and ITSM tools into a unified security workflow.
Ensures faster and more effective threat response across multiple security tools.
質問 # 44
What is the main benefit of automating case management workflows in Splunk?
- A. Minimizing the use of correlation searches
- B. Enabling dynamic storage allocation
- C. Eliminating the need for manual alerts
- D. Reducing response times and improving analyst productivity
正解：D
解説：
Automating case management workflows in Splunk streamlines incident response and reduces manual overhead, allowing analysts to focus on higher-value tasks.
Main Benefits of Automating Case Management:
Reduces Response Times (C)
Automatically assigns cases to analysts based on predefined rules.
Triggers playbooks and workflows in Splunk SOAR to handle common incidents.
Improves Analyst Productivity (C)
Reduces time spent on manual case creation and updates.
Provides integrated case tracking across Splunk and ITSM tools (e.g., ServiceNow, Jira).
質問 # 45
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
正解：B、C
解説：
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.
質問 # 46
What methods enhance risk-based detection in Splunk?(Choosetwo)
- A. Enriching risk objects with contextual data
- B. Using summary indexing for raw events
- C. Limiting the number of correlation searches
- D. Defining accurate risk modifiers
正解：A、D
解説：
Risk-based detection in Splunk prioritizes alerts based on behavior, threat intelligence, and business impact.
Enhancing risk scores and enriching contextual data ensures that SOC teams focus on the most critical threats.
Methods to Enhance Risk-Based Detection:
Defining Accurate Risk Modifiers (A)
Adjusts risk scores dynamically based on asset value, user behavior, and historical activity.
Ensures that low-priority noise doesn't overwhelm SOC analysts.
Enriching Risk Objects with Contextual Data (D)
Adds threat intelligence feeds, asset criticality, and user behavior data to alerts.
Improves incident triage and correlation of multiple low-level events into significant threats.
質問 # 47
What is the purpose of leveraging REST APIs in a Splunk automation workflow?
- A. To configure storage retention policies
- B. To compress data before indexing
- C. To generate predefined reports
- D. To integrate Splunk with external applications and automate interactions
正解：D
解説：
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
質問 # 48
What are the main steps of the Splunk data pipeline?(Choosethree)
- A. Input phase
- B. Alerting
- C. Visualization
- D. Parsing
- E. Indexing
正解：A、D、E
解説：
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.
質問 # 49
Which Splunk feature helps to standardize data for better search accuracy and detection logic?
- A. Event Correlation
- B. Data Models
- C. Field Extraction
- D. Normalization Rules
正解：B
解説：
Why Use "Data Models" for Standardized Search Accuracy and Detection Logic?
SplunkData Modelsprovide astructured, normalized representationof raw logs, improving:
#Search consistency across different log sources#Detection logic by ensuring standardized field names#Faster and more efficient querieswith data model acceleration
#Example in Splunk Enterprise Security:#Scenario:A SOC team monitors login failures acrossmultiple authentication systems.#Without Data Models:Different logs usesrc_ip, source_ip, or ip_address, making searches complex.#With Data Models:All fieldsmap to a standard format, enablingconsistent detection logic.
Why Not the Other Options?
#A. Field Extraction- Extracts fields from raw events butdoes not standardize field names across sources.#C.
Event Correlation- Detects relationships between logsbut doesn't normalize data for search accuracy.#D.
Normalization Rules- A general term; Splunkuses CIM & Data Models for normalization.
References & Learning Resources
#Splunk Data Models Documentation: https://docs.splunk.com/Documentation/Splunk/latest/Knowledge
/Aboutdatamodels#Using CIM & Data Models for Security Analytics: https://splunkbase.splunk.com/app
/263#How Data Models Improve Search Performance: https://www.splunk.com/en_us/blog/tips-and-
質問 # 50
An engineer observes a delay in data being indexed from a remote location. The universal forwarder is configured correctly.
Whatshould they check next?
- A. Review forwarder logs for queue blockages.
- B. Increase the indexer memory allocation.
- C. Optimize search head clustering.
- D. Reconfigure the props.conf file.
正解：A
解説：
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.
質問 # 51
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