SPLK-5002 VALID TEST CRAM - VALID SPLK-5002 EXAM DUMPS

SPLK-5002 Valid Test Cram - Valid SPLK-5002 Exam Dumps

SPLK-5002 Valid Test Cram - Valid SPLK-5002 Exam Dumps

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Tags: SPLK-5002 Valid Test Cram, Valid SPLK-5002 Exam Dumps, SPLK-5002 PDF Guide, SPLK-5002 Trustworthy Pdf, Test SPLK-5002 Collection

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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q72-Q77):

NEW QUESTION # 72
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. Excluding compliance metrics to simplify reports
  • D. Avoiding visuals to focus on raw data

Answer: A

Explanation:
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


NEW QUESTION # 73
Which of the following actions improve data indexing performance in Splunk?(Choosetwo)

  • A. Increasing the number of indexers in a distributed environment
  • B. Configuring index time field extractions
  • C. Using lightweight forwarders for data ingestion
  • D. Indexing data with detailed metadata

Answer: A,B

Explanation:
How to Improve Data Indexing Performance in Splunk?
Optimizing indexing performance is critical for ensuring faster search speeds, better storage efficiency, and reduced latency in a Splunk deployment.
#Why is "Configuring Index-Time Field Extractions" Important? (Answer B) Extracting fields at index time reduces the need for search-time processing, making searches faster.
Example: If security logs contain IP addresses, usernames, or error codes, configuring index-time extraction ensures that these fields are already available during searches.
#Why "Increasing the Number of Indexers in a Distributed Environment" Helps? (Answer D) Adding more indexers distributes the data load, improving overall indexing speed and search performance.
Example: In a large SOC environment, more indexers allow for faster log ingestion from multiple sources (firewalls, IDS, cloud services).
Why Not the Other Options?
#A. Indexing data with detailed metadata - Adding too much metadata increases indexing overhead and slows down performance.#C. Using lightweight forwarders for data ingestion - Lightweight forwarders only forward raw data and don't enhance indexing performance.
References & Learning Resources
#Splunk Indexing Performance Guide: https://docs.splunk.com/Documentation/Splunk/latest/Indexer
/Howindexingworks#Best Practices for Splunk Indexing Optimization: https://splunkbase.splunk.
com#Distributed Splunk Architecture for Large-Scale Environments: https://www.splunk.com/en_us/blog
/tips-and-tricks


NEW QUESTION # 74
A cybersecurity engineer notices a delay in retrieving indexed data during a security incident investigation.
The Splunk environment has multiple indexers but only one search head.
Which approach can resolve this issue?

  • A. Increase search head memory allocation.
  • B. Configure a search head cluster to distribute search queries.
  • C. Optimize search queries to use tstats instead of raw searches.
  • D. Implement accelerated data models for faster querying.

Answer: C

Explanation:
Why Usetstatsfor Faster Searches?
When a cybersecurity engineer experiences delays in retrieving indexed data, the best way to improve search performance is to usetstatsinstead of raw searches.
#What iststats?tstatsis a high-performance command that queries data from indexed fields only, rather than scanning raw events. This makes searches significantly faster and more efficient.
#Why is This the Best Approach?
tstatssearches are 10-100x faster than raw event searches.
It leverages metadata and indexed fields, reducing search load.
It minimizes memory and CPU usage on the search head and indexers.
#Example Use Case:#Scenario: The SOC team is investigating failed logins across multiple indexers.#Using a raw search:
index=security sourcetype=auth_logs action=failed | stats count by user
#Problem: This query scans millions of raw events, causing slow performance.
#Optimized usingtstats:
| tstats count where index=security sourcetype=auth_logs action=failed by user
#Advantage: Faster results without scanning raw events.
Why Not the Other Options?
#A. Increase search head memory allocation - May help, but inefficient queries will still slow down searches.
#C. Configure a search head cluster - A single search head isn't necessarily the problem; improvingsearch performance is more effective.#D. Implement accelerated data models - Useful for prebuilt dashboards, but won't improve ad-hoc searches.


NEW QUESTION # 75
What is the primary function of a Lean Six Sigma methodology in a security program?

  • A. Optimizing processes for efficiency and effectiveness
  • B. Monitoring the performance of detection searches
  • C. Enhancing user activity logs
  • D. Automating detection workflows

Answer: A

Explanation:
Lean Six Sigma (LSS) is a process improvement methodology used to enhance operational efficiency by reducing waste, eliminating errors, and improving consistency.
Primary Function of Lean Six Sigma in a Security Program:
Improves security operations efficiency by optimizing alert handling, threat hunting, and incident response workflows.
Reduces unnecessary steps in SOC processes, eliminating redundancies in threat detection and response.
Enhances decision-making by using data-driven analysis to improve security metrics and Key Performance Indicators (KPIs).


NEW QUESTION # 76
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. Add suppression rules and refine thresholds.
  • B. Disable the correlation search temporarily.
  • C. Limit the search to a single index.
  • D. Increase the frequency of the correlation search.

Answer: A

Explanation:
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


NEW QUESTION # 77
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