SPLK-5002최신인증시험 & SPLK-5002최고덤프자료

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Splunk SPLK-5002 시험요강:

주제소개
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
  • 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.
주제 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.
주제 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.
주제 5
  • 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.

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Splunk SPLK-5002 인증 덤프

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최신 Cybersecurity Defense Analyst SPLK-5002 무료샘플문제 (Q35-Q40):

질문 # 35
An effective method for building automation workflows is to follow the OODA (Observe, Orient, Decide, Act) loop stages. When transitioning between the Decide and Act stages, what additional work should be included before automating the Act stage?

정답：C

설명：
Before automating the Act stage of the OODA loop, it is essential to validate whether the asset, identity, or service has an exemption. This ensures that automated actions do not negatively impact business-critical systems or users who are intentionally excluded from automated remediation.


질문 # 36
A SOC ' s Incident Response Standard Operating Procedure (SOP) calls for any phishing emails containing files to be detonated in Splunk Attack Analyzer for evaluation. Which of the following can an engineer implement to gain efficiency through automation?

정답：A

설명：
The most efficient implementation is to use a Splunk SOAR playbook to perform the repetitive submission and collection operations involving Splunk Attack Analyzer. The playbook can take the relevant phishing artifact, submit it for analysis, collect the resulting verdict and associated evidence, and make that information available to the analyst responsible for the finding.
This represents an appropriate automation boundary. File submission, API interaction, status polling, result retrieval, and evidence attachment are deterministic operations that do not generally require human judgment.
Automating them reduces analyst handling time and improves process consistency while preserving human review for interpretation and disposition.
Automatic assignment or email notification may improve workflow routing, but neither actually performs the detonation process required by the SOP. Option D introduces PhishTank as an intermediary even though the requirement specifically identifies Splunk Attack Analyzer and does not establish PhishTank as the mechanism responsible for executing that analysis.
The course scenario therefore demonstrates a central SOAR design principle: automate repetitive data movement and enrichment while presenting the resulting context to the analyst for decision-making.
Study Guide topics: Splunk SOAR playbooks, Attack Analyzer, phishing response, automated enrichment, artifact detonation, analyst efficiency.


질문 # 37
The SOC manager has a desire to measure mean time to acknowledge findings (notable events) in order to meet a desired service level objective. Which two fields can be used to measure this metric?

정답：C

설명：
Mean Time to Acknowledge (MTTA) can be measured using the Status and Owner fields. Status indicates when a notable event moves from a new or unacknowledged state, and Owner identifies which analyst acknowledged the event, allowing calculation of the time taken to respond.


질문 # 38
How can you incorporate additional context into notable events generated by correlation searches?

정답：B

설명：
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 or eval commands 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.


질문 # 39
Which action improves the effectiveness of notable events in Enterprise Security?

정답：B

설명：
Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.
How to Improve Notable Events Effectiveness:
Apply suppression rules to filter out known false positives and reduce alert fatigue.
Refine correlation searches by adjusting thresholds and tuning event detection logic.
Leverage risk-based alerting (RBA) to prioritize high-risk events.
Use adaptive response actions to enrich events dynamically.
By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable.
Thus, the correct answer is A. Applying suppression rules for false positives.
References:
Managing Notable Events in Splunk ES
Best Practices for Tuning Correlation Searches
Using Suppression in Splunk ES


질문 # 40
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