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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer Exam |
| Exam Number: | SPLK-5002 |
| Exam Price: | $130 USD |
| Exam Duration: | 75 minutes |
| Available Languages: | English |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 60 |
| Exam Format: | Multiple response, Multiple choice |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Splunk Core Certified Power User Splunk Certified Cybersecurity Defense Analyst |
| Recommended Training: | Splunk Training & Certification |
| Exam Registration: | Pearson VUE Registration |
| Sample Questions: | Splunk SPLK-5002 Sample Questions |
| Exam Way: | Online proctored or onsite testing center via Pearson VUE |
| Pre Condition: | Recommended: Splunk Certified Cybersecurity Defense Analyst, or equivalent experience; Splunk Core Certified Power User knowledge |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification/splk-5002-cybersecurity-defense-engineer.html |
PrepAwayExam's Splunk SPLK-5002 web-based and desktop practice tests provide you with an Splunk actual test scenario, allowing you to experience the SPLK-5002 final test conditions. Customizable Splunk SPLK-5002 Practice Tests (desktop and web-based) allow you to change the time and quantity of Splunk SPLK-5002 practice questions.
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NEW QUESTION # 41
Which actions can optimize case management in Splunk?(Choosetwo)
Answer: B,C
Explanation:
Effective case management in Splunk Enterprise Security (ES) helps streamline incident tracking, investigation, and resolution.
How to Optimize Case Management:
Standardizing ticket creation workflows (A)
Ensures consistency in how incidents are reported and tracked.
Reduces manual errors and improves collaboration between SOC teams.
Integrating Splunk with ITSM tools (C)
Automates the process of creating and updating tickets in ServiceNow, Jira, or Remedy.
Enables better tracking of incidents and response actions.
NEW QUESTION # 42
Which phase of the incident response lifecycle would cause the least amount of friction when replacing manual steps with automation?
Answer: B
Explanation:
Triage involves repetitive, data-gathering, and enrichment steps (e.g., indicator lookups, context collection) that can be automated with minimal risk. This phase typically introduces the least friction when shifting from manual work to automation.
NEW QUESTION # 43
What is the best method to operationalize the results of a threat hunt for daily use by SOC analysts?
Answer: B
Explanation:
The most effective way to operationalize a validated threat-hunting result is to create detections based on the documented findings . Threat hunting is exploratory: analysts search historical or current telemetry for behaviors that may not yet have reliable automated coverage. Once a repeatable malicious or suspicious pattern is identified and validated, detection engineering converts that knowledge into an analytic that operates continuously.
This establishes a mature feedback loop:
Threat hunt # validate behavior # document evidence # engineer detection # test # deploy # monitor and tune.
Reports and communication remain valuable, particularly for management, architecture, and lessons learned, but they do not provide continuous identification of recurrence. A detection allows the SOC to identify the behavior automatically during routine operations and present relevant results to analysts.
The detection should preserve the context learned during the hunt, including useful fields, appropriate time windows, entity information, exclusions, and potentially ATT & CK annotations or risk information.
Engineers should also assess whether the hunting evidence supports a sufficiently reliable analytic to avoid excessive false positives.
Study Guide topics: threat hunting, detection operationalization, detection lifecycle, hunt-to-detection workflow, continuous security monitoring.
NEW QUESTION # 44
What are the essential components of risk-based detections in Splunk?
Answer: B
Explanation:
What Are Risk-Based Detections in Splunk?
Risk-based detections in Splunk Enterprise Security (ES) assign risk scores to security events based on threat severity and asset criticality.
#Key Components of Risk-Based Detections:1##Risk Modifiers - Adjusts risk scores based on event type (e.
g., failed logins, malware detections).2##Risk Objects - Entities associated with security events (e.g., users, IPs, devices).3##Risk Scores - Numerical values indicating the severity of a risk.
#Example in Splunk Enterprise Security:#Scenario: A high-privilege account (Admin) fails multiple logins from an unusual location.#Splunk ES applies risk-based detection:
Failed logins add +10 risk points
Login from a suspicious country adds +15 points
Total risk score exceeds 25 # Triggers an alert
Why Not the Other Options?
#B. Summary indexing, tags, and event types - Summary indexing stores precomputed data, but doesn't drive risk-based detection.#C. Alerts, notifications, and priority levels - Important, but risk-based detection is based on scoring, not just alerts.#D. Source types, correlation searches, and asset groups - Helps in data organization, but not specific to risk-based detections.
References & Learning Resources
#Splunk ES Risk-Based Alerting Guide: https://docs.splunk.com/Documentation/ES#Risk-Based Detections
& Scoring in Splunk: https://www.splunk.com/en_us/blog/security/risk-based-alerting.html#Best Practices for Risk Scoring in SOC Operations: https://splunkbase.splunk.com
NEW QUESTION # 45
Once an engineer has determined that a new detection will fire, what is the next priority for that detection?
Answer: A
Explanation:
Once detection logic has been proven capable of firing under the intended conditions, the immediate engineering priority is ensuring that its output provides the context required by the analyst . A technically correct detection that generates a finding without useful investigative fields merely transfers work from the detection engineer to the SOC analyst.
Useful output may include fields such as user, src, dest, process information, timestamps, parent processes, URLs, authentication results, risk objects, or other contextual values appropriate to the detection. These fields allow an analyst to validate the activity, establish scope, determine severity, and choose an appropriate response without immediately rebuilding the originating search.
MITRE ATT & CK annotations are important for classification, reporting, and coverage analysis, while threat intelligence can enrich particular detections and SOAR can automate downstream response. However, those capabilities do not replace adequate detection output. Analyst usability logically precedes extensive enrichment and automation.
This reflects an important detection-engineering principle: detection efficacy is not simply whether a search generates an alert; the resulting security finding must be actionable and investigable .
Study Guide topics: Detection development, analyst workflow, actionable findings, contextual fields, detection validation, operationalization.
NEW QUESTION # 46
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