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Exam Splunk SPLK-5002 Dump & SPLK-5002 Latest Test Questions
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Splunk SPLK-5002 Exam Syllabus Topics:
Topic
Details
Topic 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.
Topic 2
- 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.
Topic 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.
Topic 4
- 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.
Topic 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.
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Splunk SPLK-5002 Latest Test Questions | Valid Braindumps SPLK-5002 Files
The Splunk SPLK-5002 certification exam is one of the top rated career advancement certification exams in the market. This Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam is designed to prove candidates' skills and knowledge levels. By doing this the Splunk SPLK-5002 certificate holders can gain multiple personal and professional benefits. These benefits assist the SPLK-5002 Exam holder to pursue a rewarding career in the highly competitive market and achieve their career objectives in a short time period.
Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q59-Q64):
NEW QUESTION # 59
What key elements should an audit report include?(Choosetwo)
- A. List of unprocessed log data
- B. Compliance metrics
- C. Analysis of past incidents
- D. Asset inventory details
Answer: B,C
Explanation:
An audit report provides an overview of security operations, compliance adherence, and past incidents, helping organizations ensure regulatory compliance and improve security posture.
Key Elements of an Audit Report:
Analysis of Past Incidents (A)
Includes details on security breaches, alerts, and investigations.
Helps identify recurring threats and security gaps.
Compliance Metrics (C)
Evaluates adherence to regulatory frameworks (e.g., NIST, ISO 27001, PCI-DSS, GDPR).
Measures risk scores, policy violations, and control effectiveness.
NEW QUESTION # 60
Which report type is most suitable for monitoring the success of a phishing campaign detection program?
- A. Weekly incident trend reports
- B. Risk score-based summary reports
- C. SLA compliance reports
- D. Real-time notable event dashboards
Answer: D
Explanation:
Why Use Real-Time Notable Event Dashboards for Phishing Detection?
Phishing campaigns require real-time monitoring to detect threats as they emerge and respond quickly.
#Why "Real-Time Notable Event Dashboards" is the Best Choice? (Answer B)#Shows live security alerts for phishing detections.#Enables SOC analysts to take immediate action (e.g., blocking malicious domains, disabling compromised accounts).#Uses correlation searches in Splunk Enterprise Security (ES) to detect phishing indicators.
#Example in Splunk:#Scenario: A company runs a phishing awareness campaign.#Real-time dashboards track:
How many employees clicked on phishing links.
How many users reported phishing emails.
Any suspicious activity (e.g., account takeovers).
Why Not the Other Options?
#A. Weekly incident trend reports - Helpful for analysis but not fast enough for phishing detection.#C. Risk score-based summary reports - Risk scores are useful but not designed for real-time phishing detection.#D.
SLA compliance reports - SLA reports measure performance but don't help actively detect phishing attacks.
References & Learning Resources
#Splunk ES Notable Events & Phishing Detection: https://docs.splunk.com/Documentation/ES#Real-Time Security Monitoring with Splunk: https://splunkbase.splunk.com#SOC Dashboards for Phishing Campaigns:
https://www.splunk.com/en_us/blog/tips-and-tricks
NEW QUESTION # 61
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. Limit the search to a single index.
- B. Add suppression rules and refine thresholds.
- C. Disable the correlation search temporarily.
- D. Increase the frequency of the correlation search.
Answer: B
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 # 62
What are key benefits of using summary indexing in Splunk? (Choose two)
- A. Provides automatic field extraction during indexing
- B. Reduces storage space required for raw data
- C. Increases data retention period
- D. Improves search performance on aggregated data
Answer: C,D
Explanation:
Summary indexing in Splunk improves search efficiency by storing pre-aggregated data, reducing the need to process large datasets repeatedly.
Key Benefits of Summary Indexing:
Improves Search Performance on Aggregated Data (B)
Reduces query execution time by storing pre-calculated results.
Helps SOC teams analyze trends without running resource-intensive searches.
Increases Data Retention Period (D)
Raw logs may have short retention periods, but summary indexes can store key insights for longer.
Useful for historical trend analysis and compliance reporting.
NEW QUESTION # 63
During a high-priority incident, a user queries an index but sees incomplete results.
Whatis the most likely issue?
- A. Buckets in the warm state are inaccessible.
- B. Indexers have reached their queue capacity.
- C. The search head configuration is outdated.
- D. Data normalization was not applied.
Answer: B
Explanation:
If a user queries an index during a high-priority incident but sees incomplete results, it is likely that the indexers are overloaded, causing queue bottlenecks.
Why Indexer Queue Capacity Issues Cause Incomplete Results:
When indexing queues fill up, incoming data cannot be processed efficiently.
Search results may be incomplete or delayed if events are still in the indexing queue and not fully written to disk.
Heavy search loads during incidents can also increase pressure on indexers.
How to Fix It:
Monitor indexing queues via the Monitoring Console (indexing>indexing performance).
Checkmetrics.logon indexers formax_queue_size_exceededwarnings.
Increase indexer capacity or optimize search scheduling to reduce load.
NEW QUESTION # 64
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