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If you don't have enough time to study for your certification exam, TestBraindump provides Splunk Certified Cybersecurity Defense Engineer SPLK-5002 PDF Questions. You may quickly download Splunk Certified Cybersecurity Defense Engineer SPLK-5002 exam questions in PDF format on your smartphone, tablet, or desktop. You can Print Splunk pdf questions and answers on paper and make them portable so you can study on your own time and carry them wherever you go.
| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer (CDE) |
| Exam Number: | SPLK-5002 |
| Exam Price: | $130 USD |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst |
| Exam Duration: | 75 minutes |
| Passing Score: | Not publicly disclosed (Pass/Fail) |
| Exam Format: | Scenario-based multiple choice, Multiple choice |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | Not publicly specified |
| 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 # 78
When creating a new playbook to be called directly from Mission Control or Enterprise Security, which type of playbook must be used?
Answer: D
Explanation:
An Input playbook is the appropriate playbook type when the workflow must be invoked directly from Splunk Mission Control or Enterprise Security. Input playbooks are designed with an externally supplied input interface so that another Splunk security product can provide the data required by the playbook at invocation time.
This distinction matters because externally initiated playbooks need a defined contract describing what values the calling system passes into the workflow. Mission Control or Enterprise Security may provide information associated with the finding, event, entity, indicator, or investigation. The Input playbook can then use those supplied values for enrichment, investigation, containment, or other automated actions.
A generic Automation playbook is focused on orchestration logic but does not represent the specific external invocation model being tested. "Process" and "Response" are distractors in this context and do not identify the required playbook type.
Architecturally, Input playbooks help decouple the upstream detection platform from SOAR implementation details: Enterprise Security identifies the security condition and passes structured information, while SOAR executes the automated workflow.
Study Guide topics: Splunk SOAR playbook types; Input playbooks; Mission Control integration; Enterprise Security integration; external playbook invocation.
NEW QUESTION # 79
In a Risk-Based Alerting implementation with Splunk Enterprise Security, which of the following best describes a risk factor?
Answer: C
Explanation:
A Risk Factor is best characterized as a multiplier of risk based on contextual characteristics of a specific user or asset . It allows Enterprise Security to adjust the significance of an otherwise identical security observation depending on the entity involved.
Suppose a detection normally produces a risk score representing suspicious authentication behavior. If the affected host is an ordinary workstation, the base score may appropriately represent its significance. If the same activity affects a domain controller, highly sensitive database, privileged administrator, or other critical entity, a Risk Factor can increase the resulting risk so that the situation receives greater analytical priority.
This enables organizations to incorporate business context into Risk-Based Alerting without duplicating detection logic for every asset category. The detection identifies the behavior; the Risk Factor modifies its importance according to contextual conditions.
A Risk Factor is not itself simply another risk event, nor is its purpose to accelerate a data model. It is also unrelated to a SOAR action generated from detection annotations. Its role is contextual adjustment of risk , supporting more meaningful aggregation and escalation.
Study Guide topics: Risk-Based Alerting; Risk Factors; risk multiplication; asset criticality; identity context; risk prioritization.
NEW QUESTION # 80
Which action improves the effectiveness of notable events in Enterprise Security?
Answer: B
Explanation:
Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.
How to Improve Notable Events Effectiveness:
Apply suppression rules to filter out known false positives and reduce alert fatigue.
Refine correlation searches by adjusting thresholds and tuning event detection logic.
Leverage risk-based alerting (RBA) to prioritize high-risk events.
Use adaptive response actions to enrich events dynamically.
By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable. Thus, the correct answer is A. Applying suppression rules for false positives.
NEW QUESTION # 81
An engineer is examining a correlation search as a part of a detection review, and sees that it is configured in the following fashion:
Which of the following is true about this configuration?
Answer: A
Explanation:
The correlation search is scheduled to run every 2 minutes (*/2 * * * *) but is querying a 60-minute window (earliest = -60m@m). This large mismatch between the time range and the execution frequency is considered an improper configuration for ES correlation searches.
Such a configuration can lead to inconsistent detection behavior, including missed or duplicate findings, because the search continually reprocesses a very large window using a very short execution interval.
NEW QUESTION # 82
Which action improves the effectiveness of notable events in Enterprise Security?
Answer: B
Explanation:
Applying suppression rules for false positives improves the operational effectiveness of Enterprise Security notable events because it reduces repetitive or known-benign findings that would otherwise consume analyst attention. Effective detection engineering is not measured simply by how many notables are generated; it is measured by whether the resulting findings are sufficiently relevant, actionable, and prioritized for investigation.
Suppression can prevent repeated findings that match defined conditions during a configured period. For example, a known administrative process, sanctioned vulnerability scanner, or repeatedly detected condition may be excluded or suppressed when its behavior has already been validated. The supplied material reinforces this principle through its discussion of correlation-search throttling , where repeated findings for the same potential incident are reduced rather than continually presented to analysts.
Limiting a search to one index can unnecessarily exclude relevant telemetry. Using only raw logs sacrifices the benefits of CIM, accelerated data models, and normalized fields. Disabling scheduled searches would prevent recurring correlation searches from identifying new suspicious activity.
Study Guide topics: correlation-search tuning, throttling/suppression, false-positive reduction, notable-event quality, analyst workload, detection effectiveness.
NEW QUESTION # 83
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