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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer Exam |
| Exam Number: | SPLK-5002 |
| Real Exam Qty: | 60 |
| Exam Price: | $130 USD |
| Certificate Validity Period: | 3 years |
| Passing Score: | 700 / 1000 |
| Available Languages: | English |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst Splunk Core Certified Power User |
| Exam Duration: | 75 minutes |
| Exam Format: | Multiple choice, Multiple response |
| 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 |
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NEW QUESTION # 11
An engineer has been asked to build a new dashboard after an increase in login failures across the organization's Microsoft Azure domain. They need to construct a search to only display failed logins for their Azure Active Directory users, and choose a visualization that will help analysts quickly identify failed logins that originate outside of North America. Which of the following search and visualization type combinations will achieve this?
Answer: B
Explanation:
The correct sourcetype for Azure Active Directory sign-ins is ms:aad:signin, and filtering on loginStatus=Failure ensures only failed logins are shown. Using geostats with latitude and longitude fields allows plotting login attempts geographically, and a Cluster Map visualization is best for quickly identifying failed logins originating outside of North America.
NEW QUESTION # 12
What document can be helpful in understanding the prioritization of risk when comparing entities in an organization?
Answer: A
Explanation:
A Business Continuity Plan (BCP) or Disaster Recovery (DR) plan is particularly useful for determining the relative importance of organizational entities because these documents identify business-critical services, recovery priorities, dependencies, and acceptable disruption thresholds . Those characteristics translate directly into security risk prioritization.
For example, two servers may exhibit identical suspicious authentication behavior, but one may support a Tier-1 payment-processing application while the other supports a low-impact internal service. A BCP/DR plan typically identifies which system requires faster recovery, has stricter Recovery Time Objectives (RTOs), or supports critical business functions. Detection engineers can use that context when designing Risk- Based Alerting , asset priority, and Risk Factors.
Infrastructure and application architecture diagrams are valuable for identifying dependencies and communication paths, but they do not necessarily document business priority . An organization chart identifies reporting relationships rather than the criticality of technical entities.
The uploaded study material supports the broader principle that risk should be contextualized using asset criticality and business impact, although this exact question is not included verbatim in the supplied 60- question set.
Study Guide topics: asset criticality, business impact, risk prioritization, Risk Factors, BCP/DR, contextual security engineering.
NEW QUESTION # 13
When building detections using the Authentication Data Model, which values are recommended for use against the actions field?
Answer: D
Explanation:
In the Authentication Data Model, the recommended values for the action field are success, failure, pending, and error. These standardized values ensure consistent mapping across authentication data sources for accurate detection and reporting.
NEW QUESTION # 14
Which features are crucial for validating integrations in Splunk SOAR? (Choose three)
Answer: A,C,E
Explanation:
Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
#Key Features for Validating Integrations
1##Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.).
Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2##Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3##Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform.
Helps optimize playbook execution time and response accuracy.
#Incorrect Answers & Explanations
B: Monitoring data ingestion rates # Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E: Increasing indexer capacity # This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
#Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations
NEW QUESTION # 15
Which of the following should an engineer do as they evaluate their Threat Detection and Incident Response lifecycle?
Answer: A
NEW QUESTION # 16
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