Discover the three critical features of Splunk essential for tuning correlation searches in the SPLK-5002 exam: thresholds, notable event reviews, and search query optimization. Learn how these enhance detection accuracy and reduce false positives.
Table of Contents
Question
Which features of Splunk are crucial for tuning correlation searches? (Choose three)
A. Using thresholds and conditions
B. Reviewing notable event outcomes
C. Enabling event sampling
D. Disabling field extractions
E. Optimizing search queries
Answer
A. Using thresholds and conditions
B. Reviewing notable event outcomes
E. Optimizing search queries
Explanation
These features are fundamental for effectively tuning correlation searches in Splunk Enterprise Security. Here’s why each is essential:
Using Thresholds and Conditions (A)
Purpose: Thresholds and conditions define when a correlation search triggers an alert or notable event. They ensure that alerts are meaningful by setting boundaries for acceptable behavior.
Tuning Benefits: Adjusting numeric or conceptual thresholds can reduce false positives or negatives, making the search more accurate for your specific environment.
Example: For a brute-force detection rule, you might increase the threshold for failed login attempts from 5 to 10 within a given time frame to avoid unnecessary alerts.
Reviewing Notable Event Outcomes (B)
Purpose: Reviewing notable events helps identify patterns in false positives or missed detections, providing insights into how rules should be refined.
Tuning Benefits: By analyzing the outcomes of triggered events, you can adjust correlation searches to better align with real-world scenarios and organizational needs.
Example: If a notable event frequently triggers on benign activity, reviewing it can help refine criteria to exclude such cases.
Optimizing Search Queries (E)
Purpose: Efficiently written search queries improve performance by reducing resource usage and ensuring faster detection of threats.
Tuning Benefits: Optimized queries minimize noise and enhance the precision of detections by focusing on relevant data sources.
Example: Simplifying overly complex queries or using indexed fields can significantly reduce query execution time while maintaining accuracy.
Why Other Options Are Incorrect
C. Enabling Event Sampling: While event sampling is useful for testing and debugging, it is not directly related to tuning correlation searches in production environments.
D. Disabling Field Extractions: Field extractions are critical for parsing data into usable formats. Disabling them would hinder correlation searches rather than improve them.
Mastering these three features—thresholds, notable event reviews, and query optimization—is crucial for success in the SPLK-5002 exam and real-world cybersecurity defense engineering. They help fine-tune Splunk’s detection capabilities, ensuring accurate threat identification while minimizing false positives.
Splunk Certified Cybersecurity Defense Engineer SPLK-5002 certification exam assessment practice question and answer (Q&A) dump including multiple choice questions (MCQ) and objective type questions, with detail explanation and reference available free, helpful to pass the Splunk Certified Cybersecurity Defense Engineer SPLK-5002 exam and earn Splunk Certified Cybersecurity Defense Engineer SPLK-5002 certification.