ガイド(2026年最新)実際のSplunk SPLK-5002試験問題 [Q32-Q50]

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ガイド(2026年最新)実際のSplunk SPLK-5002試験問題

SPLK-5002試験問題集合格させるのは更新されたのは2026年年最新の認証済み試験問題


Splunk SPLK-5002 認定試験の出題範囲:

トピック出題範囲
トピック 1
  • 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.
トピック 2
  • 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.
トピック 3
  • 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.
トピック 4
  • 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.
トピック 5
  • 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.

 

質問 # 32
A security analyst needs to update the SOP for handling phishing incidents.
What should they prioritize?

  • A. Ensuring all reports are manually verified by analysts
  • B. Reporting incidents to the executive board immediately
  • C. Documenting steps for user awareness training
  • D. Automating the isolation of suspected phishing emails

正解:C

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 # 33
What is the primary purpose of data indexing in Splunk?

  • A. To secure data from unauthorized access
  • B. To visualize data using dashboards
  • C. To ensure data normalization
  • D. To store raw data and enable fast search capabilities

正解:D

解説:
Understanding Data Indexing in Splunk
In Splunk Enterprise Security (ES) and Splunk SOAR, data indexing is a fundamental process that enables efficient storage, retrieval, and searching of data.
Why is Data Indexing Important?
Stores raw machine data (logs, events, metrics) in a structured manner. Enables fast searching through optimized data storage techniques. Uses an indexer to process, compress, and store data efficiently.
Why the Correct Answer is B?
Splunk indexes data to store it efficiently while ensuring fast retrieval for searches, correlation searches, and analytics.
It assigns metadata to indexed events, allowing SOC analysts to quickly filter and search logs.


質問 # 34
A company wants to implement risk-based detection for privileged account activities. What should they configure first?

  • A. Correlation searches with low thresholds
  • B. Event sampling for raw data
  • C. Asset and identity information for privileged accounts
  • D. Automated dashboards for all accounts

正解:C

解説:
Why Configure Asset & Identity Information for Privileged Accounts First?
Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.
Key Steps for Risk-Based Detection in Splunk ES:
1. Define Privileged Accounts & Groups - Identify high-risk users (Admin, HR, Finance, CISO).
2. Assign Risk Scores - Apply higher scores to actions involving privileged users.
3. Enable Identity & Asset Correlation - Link users to assets for better detection.
4. Monitor for Anomalies - Detect abnormal login patterns, excessive file access, or unusual privilege escalation.


質問 # 35
A Splunk administrator is tasked with creating a weekly security report for executives.
Whatelements should they focus on?

  • A. High-level summaries and actionable insights
  • B. Detailed logs of every notable event
  • C. Avoiding visuals to focus on raw data
  • D. Excluding compliance metrics to simplify reports

正解:A

解説:
Why Focus on High-Level Summaries & Actionable Insights?
Executive security reports should provideconcise, strategic insightsthat help leadership teams makeinformed decisions.
#Key Elements for an Executive-Level Report:#Summarized Security Incidents- Focus onmajor threats and trends.#Actionable Recommendations- Includemitigation stepsfor ongoing risks.#Visual Dashboards- Use charts and graphs foreasy interpretation.#Compliance & Risk Metrics- Highlightcompliance status(e.g., PCI- DSS, NIST).
#Example in Splunk:#Scenario:A CISO requests aweekly security report.#Best Report Format:
Threat Summary:"Detected 15 phishing attacks this week."
Key Risks:"Increase in brute-force login attempts."
Recommended Actions:"Enhance MFA enforcement & user awareness training." Why Not the Other Options?
#B. Detailed logs of every notable event- Too technical; executives needsummaries, not raw logs.#C.
Excluding compliance metrics to simplify reports- Compliance is critical forrisk assessment.#D. Avoiding visuals to focus on raw data-Visuals improve clarity; raw data is too complex for executives.
References & Learning Resources
#Splunk Security Reporting Best Practices: https://www.splunk.com/en_us/blog/security#Creating Effective Executive Dashboards in Splunk: https://splunkbase.splunk.com#Cybersecurity Metrics & Reporting for Leadership Teams:https://www.nist.gov/cyberframework


質問 # 36
Which field in the risk index is used to describe the activity within a finding?

  • A. risk_description
  • B. risk_object
  • C. risk_reason
  • D. risk_message

正解:C

解説:
The risk_reason field in the risk index is used to describe the specific activity or behavior that contributed to the risk in a finding. This provides context for analysts to understand why the risk event was generated.


質問 # 37
Which of the following identifies elements of the Detection Development Lifecyle (DDLC)?

  • A. Research, Design, Deploy, Validate
  • B. Research, Develop, Document, Test, Deploy
  • C. Design, Develop, Deploy, Monitor, Maintain
  • D. Design, Develop, Test, Deploy

正解:C

解説:
The Detection Development Lifecycle (DDLC) includes the stages Design, Develop, Deploy, Monitor, and Maintain. This structured process ensures detections are thoughtfully built, effectively deployed, and continuously refined for accuracy and relevance.


質問 # 38
Which REST API actions can Splunk perform to optimize automation workflows?(Choosetwo)

  • A. POST for creating new data entries
  • B. PUT for updating index configurations
  • C. DELETE for archiving historical data
  • D. GET for retrieving search results

正解:A、D

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 # 39
When building a metrics dashboard for the SOC manager, which metric would represent how long it takes to fully complete an investigation?

  • A. MTBF
  • B. MTTD
  • C. MTTA
  • D. MTTR

正解:D

解説:
MTTR (Mean Time to Resolution/Recovery/Respond) measures how long it takes to fully complete an investigation or resolve an incident. This is the key metric for tracking investigation completion time in SOC performance dashboards.


質問 # 40
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. Use data model acceleration for real-time searches.
  • B. Create field extraction rules at search time.
  • C. Configure index-time data transformations.
  • D. Apply Common Information Model (CIM) data models for normalization.

正解:D

解説:
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


質問 # 41
How can you incorporate additional context into notable events generated by correlation searches?

  • A. By adding enriched fields during search execution
  • B. By optimizing the search head memory
  • C. By configuring additional indexers
  • D. By using the dedup command in SPL

正解:A

解説:
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


質問 # 42
What is an essential step in building effective dashboards for program analytics?

  • A. Limiting the number of visualizations
  • B. Applying accelerated data models for better performance
  • C. Using predefined templates without modification
  • D. Avoiding the use of filters and tokens

正解:B

解説:
Building Effective Dashboards for Program Analytics
Well-designed dashboards help SOC teams visualize security trends, performance metrics, and compliance adherence efficiently.
#1. Applying Accelerated Data Models for Better Performance (B)
Speeds up dashboard loading times by using pre-aggregated datasets.
Improves SIEM performance when analyzing large volumes of security logs.
Example:
Instead of running a full search, an accelerated data model pre-indexes event counts by severity level.
#Incorrect Answers:
A: Using predefined templates without modification # Dashboards should be customized for security needs.
C: Avoiding the use of filters and tokens # Filters improve usability by allowing analysts to refine searches.
D: Limiting the number of visualizations # Dashboards should balance performance and visibility rather than limit insights.
#Additional Resources:
Splunk Accelerated Data Models
Building Fast and Efficient Dashboards


質問 # 43
An EDR tool was recently purchased and needs to be integrated into existing Splunk SOAR playbooks. Which actions are typically associated with this type of asset?

  • A. Block hash, block process, quarantine device, get indicator
  • B. Block device, remove email, detonate URL, get indicator
  • C. Block hash, reset user password, quarantine device, get indicator
  • D. Block URL, block subdomain, quarantine device, get indicator, detonate URL

正解:A

解説:
EDR platforms commonly support host-level actions such as blocking malicious hashes, stopping or blocking processes, quarantining infected endpoints, and retrieving indicators for investigation.


質問 # 44
What is the primary purpose of developing security metrics in a Splunk environment?

  • A. To identify low-priority alerts for suppression
  • B. To measure and evaluate the effectiveness of security programs
  • C. To enhance data retention policies
  • D. To automate case management workflows

正解:B

解説:
Security metrics help organizations assess their security posture and make data-driven decisions.
Primary Purpose of Security Metrics in Splunk:
Measure Security Effectiveness (B)
Tracks incident response times, threat detection rates, and alert accuracy.
Helps SOC teams and leadership evaluate security program performance.
Improve Threat Detection & Incident Response
Identifies gaps in detection logic and false positives.
Helps fine-tune correlation searches and notable events.


質問 # 45
What is a key feature of effective security reports for stakeholders?

  • A. Excluding compliance-related metrics
  • B. Detailed event logs for every incident
  • C. High-level summaries with actionable insights
  • D. Exclusively technical details for IT teams

正解:C

解説:
Security reports provide stakeholders (executives, compliance officers, and security teams) with insights into security posture, risks, and recommendations.
Key Features of Effective Security Reports
High-Level Summaries
Stakeholders don't need raw logs but require summary-level insights on threats and trends.
Actionable Insights
Reports should provide clear recommendations on mitigating risks.
Visual Dashboards & Metrics
Charts, KPIs, and trends enhance understanding for non-technical stakeholders.


質問 # 46
Which sourcetype configurations affect data ingestion?(Choosethree)

  • A. Data retention policies
  • B. Event breaking rules
  • C. Line merging rules
  • D. Timestamp extraction

正解:B、C、D

解説:
The sourcetype in Splunk defines how incoming machine data is interpreted, structured, and stored. Proper sourcetype configurations ensure accurate event parsing, indexing, and searching.
#1. Event Breaking Rules (A)
Determines how Splunk splits raw logs into individual events.
If misconfigured, a single event may be broken into multiple fragments or multiple log lines may be combined incorrectly.
Controlled using LINE_BREAKER and BREAK_ONLY_BEFORE settings.
#2. Timestamp Extraction (B)
Extracts and assigns timestamps to events during ingestion.
Incorrect timestamp configuration leads to misplaced events in time-based searches.
Uses TIME_PREFIX, MAX_TIMESTAMP_LOOKAHEAD, and TIME_FORMAT settings.
#3. Line Merging Rules (D)
Controls whether multiline events should be combined into a single event.
Useful for logs like stack traces or multi-line syslog messages.
Uses SHOULD_LINEMERGE and LINE_BREAKER settings.
C: Data Retention Policies #
Affects storage and deletion, not data ingestion itself.
#Additional Resources:
Splunk Sourcetype Configuration Guide
Event Breaking and Line Merging


質問 # 47
What methods improve risk and detection prioritization?(Choosethree)

  • A. Using predefined alert templates
  • B. Incorporating business context into decisions
  • C. Enforcing strict search head resource limits
  • D. Assigning risk scores to assets and events
  • E. Automating detection tuning

正解:B、D、E

解説:
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.


質問 # 48
What does Splunk's term "bucket" refer to in data indexing?

  • A. A storage unit for archived data
  • B. A database table for search results
  • C. A directory containing indexed data
  • D. A collection of events with a specific retention policy

正解:C


質問 # 49
What are essential steps in developing threat intelligence for a security program?(Choosethree)

  • A. Creating dashboards for executives
  • B. Analyzing and correlating threat data
  • C. Conducting regular penetration tests
  • D. Collecting data from trusted sources
  • E. Operationalizing intelligence through workflows

正解:B、D、E

解説:
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).


質問 # 50
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合格させる保証付き無料クイズ2026年最新の実際に出ると確認されたSplunk:https://www.passtest.jp/Splunk/SPLK-5002-shiken.html

SPLK-5002試験問題でリアルに更新された問題PDF:https://drive.google.com/open?id=1mRzRYzQSOk_DbuXaPo7oqiQuR9QXA-3x