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| Certification Vendor: | Splunk |
|---|---|
| Exam Name: | Splunk Certified Cybersecurity Defense Engineer Exam |
| Exam Number: | SPLK-5002 |
| Exam Format: | Multiple response, Multiple choice |
| Related Certifications: | Splunk Certified Cybersecurity Defense Analyst Splunk Core Certified Power User |
| Exam Price: | $130 USD |
| Passing Score: | 700 / 1000 |
| Real Exam Qty: | 60 |
| Certificate Validity Period: | 3 years |
| Available Languages: | English |
| Exam Duration: | 75 minutes |
| 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 # 98
Which of the following actions improve data indexing performance in Splunk?(Choosetwo)
Answer: A,B
Explanation:
How to Improve Data Indexing Performance in Splunk?
Optimizing indexing performance is critical for ensuring faster search speeds, better storage efficiency, and reduced latency in a Splunk deployment.
#Why is "Configuring Index-Time Field Extractions" Important? (Answer B) Extracting fields at index time reduces the need for search-time processing, making searches faster.
Example: If security logs contain IP addresses, usernames, or error codes, configuring index-time extraction ensures that these fields are already available during searches.
#Why "Increasing the Number of Indexers in a Distributed Environment" Helps? (Answer D) Adding more indexers distributes the data load, improving overall indexing speed and search performance.
Example: In a large SOC environment, more indexers allow for faster log ingestion from multiple sources (firewalls, IDS, cloud services).
Why Not the Other Options?
#A. Indexing data with detailed metadata - Adding too much metadata increases indexing overhead and slows down performance.#C. Using lightweight forwarders for data ingestion - Lightweight forwarders only forward raw data and don't enhance indexing performance.
References & Learning Resources
#Splunk Indexing Performance Guide: https://docs.splunk.com/Documentation/Splunk/latest/Indexer
/Howindexingworks#Best Practices for Splunk Indexing Optimization: https://splunkbase.splunk.
com#Distributed Splunk Architecture for Large-Scale Environments: https://www.splunk.com/en_us/blog
/tips-and-tricks
NEW QUESTION # 99
What is the primary purpose of Splunk SOAR (Security Orchestration, Automation, and Response)?
Answer: B
Explanation:
Splunk SOAR (Security Orchestration, Automation, and Response) helps SOC teams automate threat detection, investigation, and response by integrating security tools and orchestrating workflows.
Primary Purpose of Splunk SOAR:
Automates Security Tasks (B)
Reduces manual efforts by using playbooks to handle routine incidents automatically.
Accelerates threat mitigation by automating response actions (e.g., blocking malicious IPs, isolating endpoints).
Orchestrates Security Workflows (B)
Connects SIEM, threat intelligence, firewalls, endpoint security, and ITSM tools into a unified security workflow.
Ensures faster and more effective threat response across multiple security tools.
NEW QUESTION # 100
When creating a detection that searches user activity across CIM-compliant data, which CIM field should be reviewed to ensure that data is aggregated appropriately?
Answer: B
Explanation:
The user field is the normalized CIM field for user activity across data sources. Reviewing and using this field ensures that data from different sources is properly aggregated, enabling consistent detection logic across CIM-compliant datasets.
NEW QUESTION # 101
An engineer wants to track and report on all authentication to corporate assets, and wants to prioritize critical assets without significantly increasing the number of findings (notable events) generated. What process could be used to accomplish this goal?
Answer: B
Explanation:
By adding all access attempts to the Risk Index and then increasing the Criticality of critical assets, the engineer ensures all authentication activity is tracked while prioritizing findings involving high-value assets. This approach leverages risk-based alerting without flooding the SOC with unnecessary notable events.
NEW QUESTION # 102
What is the best method to operationalize the results of a threat hunt for daily use by SOC analysts?
Answer: C
Explanation:
The most effective way to operationalize a validated threat-hunting result is to create detections based on the documented findings . Threat hunting is exploratory: analysts search historical or current telemetry for behaviors that may not yet have reliable automated coverage. Once a repeatable malicious or suspicious pattern is identified and validated, detection engineering converts that knowledge into an analytic that operates continuously.
This establishes a mature feedback loop:
Threat hunt # validate behavior # document evidence # engineer detection # test # deploy # monitor and tune.
Reports and communication remain valuable, particularly for management, architecture, and lessons learned, but they do not provide continuous identification of recurrence. A detection allows the SOC to identify the behavior automatically during routine operations and present relevant results to analysts.
The detection should preserve the context learned during the hunt, including useful fields, appropriate time windows, entity information, exclusions, and potentially ATT & CK annotations or risk information.
Engineers should also assess whether the hunting evidence supports a sufficiently reliable analytic to avoid excessive false positives.
Study Guide topics: threat hunting, detection operationalization, detection lifecycle, hunt-to-detection workflow, continuous security monitoring.
NEW QUESTION # 103
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