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Splunk SPLK-5002日本語版対応参考書 & CertJuken -資格試験のリーダー & SPLK-5002必殺問題集
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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
- 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 2
- 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 3
- 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 4
- 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.
トピック 5
- 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.
SPLK-5002必殺問題集、SPLK-5002練習問題
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Splunk Certified Cybersecurity Defense Engineer 認定 SPLK-5002 試験問題 (Q55-Q60):
質問 # 55
What is an essential step in building effective dashboards for program analytics?
- A. Using predefined templates without modification
- B. Limiting the number of visualizations
- C. Avoiding the use of filters and tokens
- D. Applying accelerated data models for better performance
正解:D
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 # 56
Which practices improve the effectiveness of security reporting?(Choosethree)
- A. Including unrelated historical data for context
- B. Providing actionable recommendations
- C. Using dynamic filters for better analysis
- D. Customizing reports for different audiences
- E. Automating report generation
正解:B、D、E
解説:
Effective security reporting helps SOC teams, executives, and compliance officers make informed decisions.
#1. Automating Report Generation (A)
Saves time by scheduling reports for regular distribution.
Reduces manual effort and ensures timely insights.
Example:
A weekly phishing attack report sent to SOC analysts.
#2. Customizing Reports for Different Audiences (B)
Technical reports for SOC teams include detailed event logs.
Executive summaries provide risk assessments and trends.
Example:
SOC analysts see incident logs, while executives get a risk summary.
#3. Providing Actionable Recommendations (D)
Reports should not just show data but suggest actions.
Example:
If failed login attempts increase, recommend MFA enforcement.
#Incorrect Answers:
C: Including unrelated historical data for context # Reports should be concise and relevant.
E: Using dynamic filters for better analysis # Useful in dashboards, but not a primary factor in reporting effectiveness.
#Additional Resources:
Splunk Security Reporting Guide
Best Practices for Security Metrics
質問 # 57
Which Splunk configuration ensures events are parsed and indexed only once for optimal storage?
- A. Universal forwarder
- B. Summary indexing
- C. Index time transformations
- D. Search head clustering
正解:C
解説:
Why Use Index-Time Transformations for One-Time Parsing & Indexing?
Splunk parses and indexes data once during ingestion to ensure efficient storage and search performance.
Index-time transformations ensure that logs are:
#Parsed, transformed, and stored efficiently before indexing.#Normalized before indexing, so the SOC team doesn't need to clean up fields later.#Processed once, ensuring optimal storage utilization.
#Example of Index-Time Transformation in Splunk:#Scenario: The SOC team needs to mask sensitive data in security logs before storing them in Splunk.#Solution: Use anINDEXED_EXTRACTIONSrule to:
Redact confidential fields (e.g., obfuscate Social Security Numbers in logs).
Rename fields for consistency before indexing.
質問 # 58
Which features of Splunk are crucial for tuning correlation searches?(Choosethree)
- A. Optimizing search queries
- B. Using thresholds and conditions
- C. Disabling field extractions
- D. Reviewing notable event outcomes
- E. Enabling event sampling
正解:A、B、D
解説:
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
質問 # 59
What is the purpose of leveraging REST APIs in a Splunk automation workflow?
- A. To integrate Splunk with external applications and automate interactions
- B. To compress data before indexing
- C. To generate predefined reports
- D. To configure storage retention policies
正解:A
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 # 60
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