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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer (CDE) |
| Exam Number: | SPLK-5002 |
| Real Exam Qty: | 60 |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst |
| Passing Score: | Not publicly disclosed (Pass/Fail) |
| Exam Price: | $130 USD |
| Exam Format: | Multiple choice, Scenario-based multiple choice |
| Exam Duration: | 75 minutes |
| Certificate Validity Period: | Not publicly specified |
| Available Languages: | English |
| 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 |
We strongly recommend using our Splunk SPLK-5002 exam dumps to prepare for the Splunk SPLK-5002 certification. It is the best way to ensure success. With our Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) practice questions, you can get the most out of your studying and maximize your chances of passing your Splunk Certified Cybersecurity Defense Engineer (SPLK-5002) exam.
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NEW QUESTION # 65
Which syntax is correct to create two new rows on an existing threat intelligence collection?
Answer: D
Explanation:
The intended answer is A because its item parameter contains a JSON array with two separate objects , meaning two new threat-intelligence records are supplied in a single request:
[
{ " src_user " : " user_new " , " subject " : " click this " },
{ " src_user " : " user2_new " , " subject " : " click this " }
]
The surrounding single quotes are also important in a shell because they preserve the JSON ' s internal double quotes. Option C attempts to surround the entire JSON value with double quotes while also using unescaped double quotes inside the JSON, which would break normal shell parsing. Options B and D contain only one object , so they cannot create two rows.
There is one transcription issue worth noting: as pasted, options A and D end with an incomplete -X, and -G changes how cURL submits -d data. In a complete working REST call, the creation request would ordinarily use POST , for example -X POST, or rely on -d to imply POST. Thus A is clearly the intended certification answer based on its two-record JSON payload , although the pasted command ' s trailing flags are incomplete.
The supplied study material covers REST parameters, HTTP POST semantics, and threat-intelligence collections, but not this exact question verbatim.
Study Guide topics: Splunk REST API, Threat Intelligence Framework, JSON arrays, REST payloads, cURL, HTTP POST.
NEW QUESTION # 66
What does the following search do?
source=WinEventLog:security* sourcetype= " WinEventLog* " EventCode=4688
| stats count, values(process) as process by parent_process_name
Answer: D
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 # 67
In a Risk-Based Alerting implementation with Splunk Enterprise Security, which of the following best describes a risk factor?
Answer: D
Explanation:
In Risk-Based Alerting (RBA), a risk factor is a multiplier of risk applied based on the characteristics of a user or asset, such as criticality or sensitivity. This allows higher-risk entities to accumulate risk more quickly and ensures prioritization aligns with business impact.
NEW QUESTION # 68
A company's Splunk setup processes logs from multiple sources with inconsistent field naming conventions.
Howshould the engineer ensure uniformity across data for better analysis?
Answer: D
Explanation:
Why Use CIM for Field Normalization?
When processing logs from multiple sources with inconsistent field names, the best way to ensure uniformity is to use Splunk's Common Information Model (CIM).
#Key Benefits of CIM for Normalization:
Ensures that different field names (e.g., src_ip, ip_src, source_address) are mapped to a common schema.
Allows security teams to run a single search query across multiple sources without manual mapping.
Enables correlation searches in Splunk Enterprise Security (ES) for better threat detection.
Example Scenario in a SOC:
#Problem: The SOC team needs to correlate firewall logs, cloud logs, and endpoint logs for failed logins.
#Without CIM: Each log source uses a different field name for failed logins, requiring multiple search queries.
#With CIM: All failed login events map to the same standardized field (e.g., action="failure"), allowing one unified search query.
Why Not the Other Options?
#A. Create field extraction rules at search time - Helps with parsing data but doesn't standardize field names across sources.#B. Use data model acceleration for real-time searches - Accelerates searches but doesn't fix inconsistent field naming.#D. Configure index-time data transformations - Changes fields at indexing but is less flexible than CIM's search-time normalization.
References & Learning Resources
#Splunk CIM for Normalization: https://docs.splunk.com/Documentation/CIM#Splunk ES CIM Field Mappings: https://splunkbase.splunk.com/app/263#Best Practices for Log Normalization: https://www.splunk.
com/en_us/blog/tips-and-tricks
NEW QUESTION # 69
Which Splunk Enterprise Security add-on facilitates the ingestion of Threat Intelligence data?
Answer: C
Explanation:
The correct component is SA-ThreatIntelligence . Within Splunk Enterprise Security, this supporting add-on is associated with the threat-intelligence framework and the processing of threat indicators used for matching, enrichment, and security analytics.
Threat intelligence may contain observables such as malicious IP addresses, domains, URLs, email indicators, certificate information, file hashes, or other intelligence objects. The framework must normalize and process these indicators so that Enterprise Security searches can compare them with telemetry observed in the environment.
The SA- prefix is significant in the Splunk application ecosystem because supporting add-ons frequently provide underlying searches, knowledge objects, configurations, or framework functionality that other Splunk applications consume. The other names shown in the question are distractors and are not the designated Enterprise Security supporting add-on requested.
Threat intelligence ingestion is more than simply indexing a feed. The resulting indicators must be structured into appropriate collections and made usable by matching processes so that detections can identify interactions between internal activity and known threat objects.
Question 9 is displayed on page 3 of the supplied certification material.
Study Guide topics: SA-ThreatIntelligence, Threat Intelligence Framework, indicator ingestion, threat matching, intelligence normalization, Enterprise Security architecture.
NEW QUESTION # 70
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