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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer Exam |
| Exam Number: | SPLK-5002 |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple choice, Multiple response |
| Real Exam Qty: | 60 |
| Exam Price: | $130 USD |
| Exam Duration: | 75 minutes |
| Available Languages: | English |
| Passing Score: | 700 / 1000 |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst Splunk Core Certified Power User |
| 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 |
There are many ways to help you prepare for your Splunk SPLK-5002 exam. TorrentValid provide a reliable training tools to help you prepare for your Splunk SPLK-5002 exam certification. The TorrentValid Splunk SPLK-5002 Exam Materials are including test questions and answers. Our materials are very good sofeware that through the practice test. Our materials will meet all of theIT certifications.
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NEW QUESTION # 18
How can you ensure efficient detection tuning?(Choosethree)
Answer: B,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 # 19
A security engineer is tasked with improving threat intelligence sharing within the company.
Whatis the most effective first step?
Answer: A
Explanation:
Improving Threat Intelligence Sharing in an Organization
Threat intelligence enhances cybersecurity by providing real-time insights into emerging threats.
#1. Implement a Real-Time Threat Feed Integration (A)
Enables real-time ingestion of threat indicators (IOCs, IPs, hashes, domains).
Helps automate threat detection and blocking.
Example:
Integrating STIX/TAXII, Splunk Threat Intelligence Framework, or a SOAR platform for live threat updates.
#Incorrect Answers:
B: Restrict access to external threat intelligence sources # Sharing intelligence enhances security, not restricting it.
C: Share raw threat data with all employees # Raw intelligence needs analysis and context before distribution.
D: Use threat intelligence only for executive reporting # SOC analysts, incident responders, and IT teams need actionable intelligence.
#Additional Resources:
Splunk Threat Intelligence Framework
How to Integrate STIX/TAXII in Splunk
NEW QUESTION # 20
Which of the following is the most efficient search to return a list of all visible indexes and the sourcetypes contained within them?
Answer: D
Explanation:
The most efficient way to return all visible indexes and their sourcetypes is with | tstats values(sourcetype) where index=* by index. The tstats command leverages data model acceleration and metadata, making it faster and more resource-efficient than raw searches like index=*.
NEW QUESTION # 21
What are the key components of Splunk's indexing process?(Choosethree)
Answer: C,D,E
Explanation:
Key Components of Splunk's Indexing Process
Splunk's indexing process consists of multiple stages that ingest, process, and store data efficiently for search and analysis.
#1. Input Phase (E)
Collects data from sources (e.g., syslogs, cloud services, network devices).
Defines where the data comes from and applies pre-processing rules.
Example:
A firewall log is ingested from a syslog server into Splunk.
#2. Parsing (A)
Breaks raw data into individual events.
Applies rules for timestamp extraction, line breaking, and event formatting.
Example:
A multiline log file is parsed so that each log entry is a separate event.
#3. Indexing (C)
Stores parsed data in indexes to enable fast searching.
Assigns metadata like host, source, and sourcetype.
Example:
An index=firewall_logs contains all firewall-related events.
#Incorrect Answers:
B: Searching # Searching happens after indexing, not during the indexing process.
D: Alerting # Alerting is part of SIEM and detection, not indexing.
#Additional Resources:
Splunk Indexing Process Documentation
Splunk Data Processing Pipeline
NEW QUESTION # 22
Which Enterprise Security components provide enrichment to the Risk Framework?
Answer: C
Explanation:
The Risk Framework can be enriched through the Assets & Identities Framework, Risk Factoring, and Annotations , making option A the correct combination.
The Assets & Identities Framework contributes organizational context about entities represented by risk objects. For example, a destination system may be identified as highly critical, or a user may belong to a privileged identity category. That context allows the same underlying behavior to be interpreted differently depending on the entity involved.
Risk Factors provide a mechanism for modifying risk according to contextual conditions. A detection may assign a baseline risk score, while a Risk Factor increases or otherwise adjusts the effective risk when characteristics of the affected user or asset justify higher concern.
Annotations provide structured metadata describing the detection and its security meaning, such as mappings to relevant adversary techniques or other analytical context. This makes accumulated risk more understandable and useful to analysts.
A risk object is the entity receiving risk rather than an enrichment mechanism. Data models provide normalized data structures, and the notable framework concerns analyst-facing security events rather than the complete enrichment set requested here.
Study Guide topics: Risk Framework; Assets & Identities; Risk Factors; annotations; contextual enrichment; risk objects; RBA.
NEW QUESTION # 23
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