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SPLK-5002최신업데이트버전덤프문제공부 - SPLK-5002최신업데이트공부자료

고객님의 시간을 조금이라도 절약해드리고 공을 적게 들여도 자격증 취득이 쉬워지도록 Pass4Test의 IT전문가들은 최신 실러버스에 따라 몇년간의 노하우와 경험을 충분히 활용하여Splunk SPLK-5002시험대비자료를 연구제작하였습니다. Splunk SPLK-5002 덤프를 공부하여 시험에서 떨어지는 경우 덤프비용환불 혹은 다른 과목으로 교환하는중 한가지 서비스를 제공해드립니다.

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SPLK-5002최신 업데이트 공부자료 - SPLK-5002인기자격증 시험대비 공부자료

우리는 고객이 첫 번째 시도에서Splunk SPLK-5002 자격증시험을 합격할수있다는 것을 약속드립니다. Splunk SPLK-5002 시험을 합격하여 자격증을 손에 넣는다면 취직 혹은 연봉인상 혹은 승진이나 이직에 확실한 가산점이 될것입니다. Splunk SPLK-5002시험 어려운 시험이지만 저희Splunk SPLK-5002덤프로 조금이나마 쉽게 따봅시다.

Splunk SPLK-5002 시험요강:

주제
소개

주제 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.

주제 2

• 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.

주제 3

• 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.

주제 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.

주제 5

• 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.

 

최신 Cybersecurity Defense Analyst SPLK-5002 무료샘플문제 (Q26-Q31):

질문 # 26
An engineer observes a high volume of false positives generated by a correlation search.
Whatsteps should they take to reduce noise without missing critical detections?

• A. Disable the correlation search temporarily.
• B. Limit the search to a single index.
• C. Increase the frequency of the correlation search.
• D. Add suppression rules and refine thresholds.

정답：D

설명：
How to Reduce False Positives in Correlation Searches?
High false positives can overwhelm SOC teams, causing alert fatigue and missed real threats. The best solution is to fine-tune suppression rules and refine thresholds.
#How Suppression Rules & Threshold Tuning Help:#Suppression Rules: Prevent repeated false positives from low-risk recurring events (e.g., normal system scans).#Threshold Refinement: Adjust sensitivity to focus on true threats (e.g., changing a login failure alert from 3 to 10 failed attempts).
#Example in Splunk ES:#Scenario: A correlation search generates too many alerts for failed logins.#Fix: SOC analysts refine detection thresholds:
Suppress alerts if failed logins occur within a short timeframe but are followed by a successful login.
Only trigger an alert if failed logins exceed 10 attempts within 5 minutes.
Why Not the Other Options?
#A. Increase the frequency of the correlation search - Increases search load without reducing false positives.
#C. Disable the correlation search temporarily - Leads to blind spots in detection.#D. Limit the search to a single index - May exclude critical security logs from detection.
References & Learning Resources
#Splunk ES Correlation Search Optimization Guide: https://docs.splunk.com/Documentation/ES#Reducing False Positives in SOC Workflows: https://splunkbase.splunk.com#Fine-Tuning Security Alerts in Splunk:
https://www.splunk.com/en_us/blog/security

 

질문 # 27
What are critical elements of an effective incident report?(Choosethree)

• A. Names of all employees involved
• B. Steps taken to resolve the issue
• C. Recommendations for future prevention
• D. Timeline of events
• E. Financial implications of the incident

정답：B,C,D

설명：
Critical Elements of an Effective Incident Report
An incident reportdocuments security breaches, outlines response actions, and provides prevention strategies.
#1. Timeline of Events (A)
Provides achronological sequenceof the incident.
Helps analystsreconstruct attacksand understand attack vectors.
Example:
08:30 AM- Suspicious login detected.
08:45 AM- SOC investigation begins.
09:10 AM- Endpoint isolated.
#2. Steps Taken to Resolve the Issue (C)
Documentscontainment, eradication, and recovery efforts.
Ensures teamsfollow response procedures correctly.
Example:
Blocked malicious IPs, revoked compromised credentials, and restored affected systems.
#3. Recommendations for Future Prevention (E)
Suggestssecurity improvementsto prevent future attacks.
Example:
Enhance SIEM correlation rules, enforce multi-factor authentication, or update firewall rules.
#Incorrect Answers:
B: Financial implications of the incident# Important for executives,not crucial for an incident report.
D: Names of all employees involved# Avoidsexposing individualsand focuses on security processes.
#Additional Resources:
Splunk Incident Response Documentation
NIST Computer Security Incident Handling Guide

 

질문 # 28
Which Splunk configuration ensures events are parsed and indexed only once for optimal storage?

• A. Universal forwarder
• B. Index time transformations
• C. Search head clustering
• D. Summary indexing

정답：B

설명：
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.

 

질문 # 29
What methods can improve Splunk's indexing performance?(Choosetwo)

• A. Use universal forwarders for data ingestion.
• B. Optimize event breaking rules.
• C. Enable indexer clustering.
• D. Create multiple search heads.

정답：B,C

설명：
Improving Splunk's indexing performance is crucial for handling large volumes of data efficiently while maintaining fast search speeds and optimized storage utilization.
Methods to Improve Indexing Performance:
Enable Indexer Clustering (A)
Distributes indexing load across multiple indexers.
Ensures high availability and fault tolerance by replicating indexed data.
Optimize Event Breaking Rules (D)
Defines clear event boundaries to reduce processing overhead.
Uses correctLINE_BREAKERandTRUNCATEsettings to improve parsing speed.

 

질문 # 30
What methods improve risk and detection prioritization?(Choosethree)

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

정답：B,C,D

설명：
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.

 

질문 # 31
......

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