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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer (CDE) |
| Exam Number: | SPLK-5002 |
| Certificate Validity Period: | Not publicly specified |
| Exam Format: | Scenario-based multiple choice, Multiple choice |
| Exam Duration: | 75 minutes |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst |
| Passing Score: | Not publicly disclosed (Pass/Fail) |
| Exam Price: | $130 USD |
| Real Exam Qty: | 60 |
| Available Languages: | English |
| Recommended Training: | Splunk Enterprise Security Fundamentals Splunk SOAR Automation Training |
| 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 # 72
What does the following search do?
source=WinEventLog:security* sourcetype= " WinEventLog* " EventCode=4688
| stats count, values(process) as process by parent_process_name
Answer: A
Explanation:
The search retrieves Windows Security events with EventCode 4688 , which represents process creation, and then aggregates the results by parent_process_name. The stats clause calculates a count and uses values (process) to return the distinct child process values associated with each parent process. Of the supplied choices, this is best described as displaying processes and their parent processes .
The decisive SPL is:
stats count, values(process) as process by parent_process_name
The by parent_process_name clause creates result groups based on each parent process. Within every group, values(process) builds the set of process values associated with that parent. count additionally records how many qualifying events occurred within the group.
The search does not group by user, so options A and B do not describe its result structure. Option C reverses the relationship: the grouping key is the parent rather than the child process.
This type of aggregation can help detection engineers identify unusual parent-child process relationships-for example, a normally benign application unexpectedly spawning a command interpreter.
Study Guide topics: SPL stats, values(), Windows EventCode 4688, parent-child process analysis, endpoint detections.
NEW QUESTION # 73
Which Splunk feature makes SPL searches shorter and reusable by inserting it into search strings?
Answer: B
Explanation:
Splunk macros make SPL shorter and reusable by encapsulating frequently used search fragments and allowing them to be inserted into other searches. A macro can contain filters, field calculations, constraints, or larger portions of SPL that would otherwise need to be duplicated across multiple detections, reports, and dashboards.
Macros are typically invoked using backticks, conceptually:
search index=security | security_filter``
The macro is resolved at search execution time into the SPL definition associated with it. Parameterized macros can also accept arguments, allowing common search logic to be reused with different values.
This is particularly important for detection engineering because centralized reusable logic reduces duplication.
If ten correlation searches rely on the same constraint, a macro allows the engineer to maintain that logic centrally rather than changing all ten searches independently.
Although macros are themselves Splunk knowledge objects, Knowledge objects is too broad for the question.
Lookups add external or maintained contextual data to events, while commands such as stats, eval, or tstats perform specific SPL operations rather than serving as reusable search substitutions.
Study Guide topics: SPL macros, reusable searches, search maintainability, knowledge objects, detection engineering efficiency.
NEW QUESTION # 74
What document can be helpful in understanding the prioritization of risk when comparing entities in an organization?
Answer: D
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 # 75
How can you ensure efficient detection tuning?(Choosethree)
Answer: A,C,D
Explanation:
Ensuring Efficient Detection Tuning in Splunk Enterprise Security
Detection tuning is essential to minimize false positives and improve security visibility.
#1. Perform Regular Reviews of False Positives (A)
Reviewing false positives helps refine detection logic.
Analysts should analyze past alerts and adjust correlation rules.
Example:
Tuning a failed login correlation search to exclude known legitimate admin accounts.
#2. Use Detailed Asset and Identity Information (B)
Enriches detections with asset and user context.
Helps differentiate high-risk vs. low-risk security events.
Example:
A login from an executive's laptop is higher risk than from a test server.
#3. Automate Threshold Adjustments (D)
Dynamic thresholds adjust based on activity baselines.
Reduces false positives while maintaining security coverage.
Example:
A brute-force detection rule dynamically adjusts its alerting threshold based on normal user behavior.
C: Disable correlation searches for low-priority threats # Instead of disabling, adjust the rule sensitivity or lower alert severity.
#Additional Resources:
Splunk Security Essentials: Detection Tuning Guide
Tuning Correlation Searches in Splunk ES
NEW QUESTION # 76
A Splunk administrator needs to integrate a third-party vulnerability management tool to automate remediation workflows. What is the most efficient first step?
Answer: B
Explanation:
Using the third-party product ' s REST API with Splunk SOAR is the most efficient approach because SOAR is designed to orchestrate external security technologies programmatically. A REST integration allows SOAR to retrieve vulnerability information, enrich assets, initiate remediation actions, track execution status, and incorporate those operations into repeatable playbooks.
A typical workflow could use API requests to obtain vulnerability findings, identify the affected asset, determine severity, invoke a remediation or ticketing action, and subsequently verify completion. The uploaded course material emphasizes REST communication, SOAR assets, HTTP methods, authentication, and automated playbook actions as core integration concepts.
Manual alerts do not accomplish automation. Creating a separate correlation search for every vulnerability type creates unnecessary detection-management overhead and does not provide the remediation integration itself. Dashboards improve visibility but remain observational rather than actionable.
The REST approach also separates concerns appropriately: the vulnerability platform remains the source of vulnerability-management capability, while SOAR coordinates the workflow through authenticated API calls and automation logic.
Study Guide topics: Splunk SOAR, REST APIs, third-party integrations, playbooks, automated remediation, API authentication, orchestration.
NEW QUESTION # 77
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