Get Splunk SPLK-5002 Exam Practice Questions - Real and Updated

Answer : A

Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.

How to Improve Notable Events Effectiveness:

Apply suppression rules to filter out known false positives and reduce alert fatigue.

Refine correlation searches by adjusting thresholds and tuning event detection logic.

Leverage risk-based alerting (RBA) to prioritize high-risk events.

Use adaptive response actions to enrich events dynamically.

By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable. Thus, the correct answer is A. Applying suppression rules for false positives.

Managing Notable Events in Splunk ES

Best Practices for Tuning Correlation Searches

Using Suppression in Splunk ES

Answer : C

If a user queries an index during a high-priority incident but sees incomplete results, it is likely that the indexers are overloaded, causing queue bottlenecks.

Why Indexer Queue Capacity Issues Cause Incomplete Results:

When indexing queues fill up, incoming data cannot be processed efficiently.

Search results may be incomplete or delayed if events are still in the indexing queue and not fully written to disk.

Heavy search loads during incidents can also increase pressure on indexers.

How to Fix It:

Monitor indexing queues via the Monitoring Console (indexing>indexing performance).

Check metrics.log on indexers for max_queue_size_exceeded warnings.

Increase indexer capacity or optimize search scheduling to reduce load.

Incorrect Answers: A. Buckets in the warm state are inaccessible -- Warm buckets are still searchable unless there is a storage failure. B. Data normalization was not applied -- Normalization affects data consistency but does not cause incomplete results. D. The search head configuration is outdated -- This does not affect indexing, only the execution of searches.

Answer : A, C, D

A notable event in Splunk Enterprise Security (ES) represents a significant security detection that requires investigation.

Key Elements of a Good Notable Event: Meaningful Descriptions (Answer A)

Helps analysts understand the event at a glance.

Example: Instead of 'Possible attack detected,' use 'Multiple failed admin logins from foreign IP address'.

Proper Categorization (Answer C)

Ensures events are classified correctly (e.g., Brute Force, Insider Threat, Malware Activity).

Example: A malicious file download alert should be categorized as 'Malware Infection', not just 'General Alert'.

Relevant Field Extractions (Answer D)

Ensures that critical details (IP, user, timestamp) are present for SOC analysis.

Example: If an alert reports failed logins, extracted fields should include username, source IP, and login method.

Why Not the Other Options?

B. Minimal use of contextual data -- More context helps SOC analysts investigate faster.

Reference & Learning Resources

Building Effective Notable Events in Splunk ES: https://docs.splunk.com/Documentation/ES SOC Best Practices for Security Alerts: https://splunkbase.splunk.com How to Categorize Security Alerts Properly: https://www.splunk.com/en_us/blog/security

Answer : B, D

Summary indexing in Splunk improves search efficiency by storing pre-aggregated data, reducing the need to process large datasets repeatedly.

Key Benefits of Summary Indexing:

Improves Search Performance on Aggregated Data (B)

Reduces query execution time by storing pre-calculated results.

Helps SOC teams analyze trends without running resource-intensive searches.

Increases Data Retention Period (D)

Raw logs may have short retention periods, but summary indexes can store key insights for longer.

Useful for historical trend analysis and compliance reporting.

Incorrect Answers: A. Reduces storage space required for raw data -- Summary indexing creates additional storage, rather than reducing raw data size. C. Provides automatic field extraction during indexing -- Field extraction is not automatic in summary indexing; it depends on how data is processed.

Splunk Summary Indexing Best Practices

Improving Search Performance with Summary Indexing

Answer : B

Understanding Data Indexing in Splunk

In Splunk Enterprise Security (ES) and Splunk SOAR, data indexing is a fundamental process that enables efficient storage, retrieval, and searching of data.

Why is Data Indexing Important?

Stores raw machine data (logs, events, metrics) in a structured manner.

Enables fast searching through optimized data storage techniques.

Uses an indexer to process, compress, and store data efficiently.

Why the Correct Answer is B?

Splunk indexes data to store it efficiently while ensuring fast retrieval for searches, correlation searches, and analytics.

It assigns metadata to indexed events, allowing SOC analysts to quickly filter and search logs.

Incorrect Answers & Explanations

A . To ensure data normalization Splunk normalizes data using Common Information Model (CIM), not indexing.

C . To secure data from unauthorized access Splunk uses RBAC (Role-Based Access Control) and encryption for security, not indexing.

D . To visualize data using dashboards Dashboards use indexed data for visualization, but indexing itself is focused on data storage and retrieval.

Additional Resources:

Splunk Data Indexing Documentation

Splunk Architecture & Indexing Guide