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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer Exam |
| Exam Number: | SPLK-5002 |
| Exam Price: | $130 USD |
| Available Languages: | English |
| Exam Duration: | 75 minutes |
| Certificate Validity Period: | 3 years |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst Splunk Core Certified Power User |
| Passing Score: | 700 / 1000 |
| Exam Format: | Multiple choice, Multiple response |
| Real Exam Qty: | 60 |
| 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 # 89
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 # 90
Which of the following is a reason to utilize ES risk framework as a part of detection building?
Answer: B
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 # 91
Once an engineer has determined that a new detection will fire, what is the next priority for that detection?
Answer: D
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 # 92
A company wants to implement risk-based detection for privileged account activities. What should they configure first?
Answer: D
Explanation:
Why Configure Asset & Identity Information for Privileged Accounts First?
Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.
Key Steps for Risk-Based Detection in Splunk ES:
1. Define Privileged Accounts & Groups - Identify high-risk users (Admin, HR, Finance, CISO).
2. Assign Risk Scores - Apply higher scores to actions involving privileged users.
3. Enable Identity & Asset Correlation - Link users to assets for better detection.
4. Monitor for Anomalies - Detect abnormal login patterns, excessive file access, or unusual privilege escalation.
NEW QUESTION # 93
Which of the following actions will allow access to a list of alert actions via the API?
Answer: D
Explanation:
The correct REST endpoint to list available alert actions in Splunk is | rest
/services/alerts/alert_actions
This returns details of all configured alert actions, allowing engineers to view and manage them through the API.
NEW QUESTION # 94
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