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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer (CDE) |
| Exam Number: | SPLK-5002 |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst |
| Passing Score: | Not publicly disclosed (Pass/Fail) |
| Exam Duration: | 75 minutes |
| Available Languages: | English |
| Exam Price: | $130 USD |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | Not publicly specified |
| Exam Format: | Scenario-based multiple choice, Multiple choice |
| Recommended Training: | Splunk SOAR Automation Training Splunk Enterprise Security Fundamentals |
| Exam Registration: | Official Splunk Certification Registration Pearson VUE Splunk Exams |
| Sample Questions: | Splunk SPLK-5002 Sample Questions |
| Exam Way: | Online proctored or test center (Pearson VUE) |
| Pre Condition: | No formal prerequisites required, but Splunk Certified Cybersecurity Defense Analyst knowledge is strongly recommended. |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification-track/splunk-certified-cybersecurity-defense-engineer.html |
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NEW QUESTION # 22
Which of the following detections would use a high count of events with Windows Event Code 4740 grouped by a user to determine suspicious behavior?
Answer: A
Explanation:
Windows Security Event ID 4740 records the condition "A user account was locked out." Consequently, a detection that counts EventCode 4740 events and aggregates them by user is specifically measuring repeated account-lockout activity. The appropriate detection is therefore Detect Excessive User Account Lockouts .
From a detection-engineering perspective, a useful analytic would establish a baseline or threshold and then aggregate by the affected account, for example conceptually using stats count by user. A high number of lockouts may indicate password spraying, credential-stuffing activity, an incorrectly configured service using stale credentials, or an automated process repeatedly authenticating with an invalid password. Context such as source workstation, account type, time window, and historical frequency would improve fidelity.
The distractors represent different telemetry classes. Excessive successful or failed logins normally involve authentication events such as 4624/4625 rather than 4740. Network-connection detections require network or endpoint connection telemetry, and AWS security scanning is unrelated to Windows account-lockout auditing.
The supplied material presents EventCode 4740 specifically in this detection-selection context on page 3.
Study Guide topics: Windows security telemetry, EventCode-based analytics, aggregation, account lockouts, authentication detections, threshold-based detection engineering.
NEW QUESTION # 23
How can you incorporate additional context into notable events generated by correlation searches?
Answer: A
Explanation:
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.
NEW QUESTION # 24
What is a key feature of effective security reports for stakeholders?
Answer: C
Explanation:
Security reports provide stakeholders (executives, compliance officers, and security teams) with insights into security posture, risks, and recommendations.
#Key Features of Effective Security Reports
High-Level Summaries
Stakeholders don't need raw logs but require summary-level insights on threats and trends.
Actionable Insights
Reports should provide clear recommendations on mitigating risks.
Visual Dashboards & Metrics
Charts, KPIs, and trends enhance understanding for non-technical stakeholders.
#Incorrect Answers:
B: Detailed event logs for every incident # Logs are useful for analysts, not executives.
C: Exclusively technical details for IT teams # Reports should balance technical & business insights.
D: Excluding compliance-related metrics # Compliance is critical in security reporting.
#Additional Resources:
Splunk Security Reporting Best Practices
Creating Executive Security Reports
NEW QUESTION # 25
What is one method used in ESCU content to calculate a risk score when creating a detection that uses the Risk Analysis adaptive response action?
Answer: C
Explanation:
In Enterprise Security Content Update (ESCU), when creating a detection that uses the Risk Analysis adaptive response action, the risk score is calculated as:
Risk Score = (Risk Object Priority * Confidence / 100)
This formula weights the inherent priority of the risk object by the confidence level of the detection.
NEW QUESTION # 26
Which of the following is a reason to utilize ES risk framework as a part of detection building?
Answer: D
Explanation:
The Enterprise Security Risk Framework enables detection engineers to express suspicious observations as risk against meaningful entities-typically users, systems, or other risk objects-and then prioritize those observations according to their security significance. Option C therefore represents the principal value being tested: prioritizing findings based on potential business impact .
In a Risk-Based Alerting design, an individual behavior does not necessarily need to generate an analyst- facing finding immediately. Instead, detections can generate risk events containing fields such as the risk object, risk object type, risk score, and contextual annotations. Multiple risk events can accumulate until correlation logic determines that the combined evidence warrants escalation. Risk Factors and asset/identity context can further modify significance when an affected entity is particularly sensitive or critical.
Risk processing is therefore fundamentally about contextual prioritization and evidence aggregation , not search-performance acceleration. It does not inherently create a threat-intelligence feedback loop, nor is its primary purpose to simplify SOAR execution. Those capabilities can interact with risk-based detections but are separate functions.
Study Guide topics: Enterprise Security Risk Framework; Risk-Based Alerting; risk objects; risk scores; business impact; security finding prioritization.
NEW QUESTION # 27
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