QUESTION: 5

A company wants to implement risk-based detection for privileged account activities.
What should they configure first?

Asset and identity information for privileged accounts
Correlation searches with low thresholds
Event sampling for raw data
Automated dashboards for all accounts

Answer(s): A

Explanation:

Why Configure Asset & Identity Information for Privileged Accounts First? Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.
Key Steps for Risk-Based Detection in Splunk ES:
1 Define Privileged Accounts & Groups Identify high-risk users (Admin, HR, Finance, CISO). 2 Assign Risk Scores Apply higher scores to actions involving privileged users. 3 Enable Identity & Asset Correlation Link users to assets for better detection. 4 Monitor for Anomalies Detect abnormal login patterns, excessive file access, or unusual privilege escalation.
Example in Splunk ES:
A domain admin logs in from an unusual location Trigger high-risk alert A finance director downloads sensitive payroll data at midnight Escalate for investigation Why Not the Other Options?
B . Correlation searches with low thresholds May generate excessive false positives, overwhelming the SOC.
C . Event sampling for raw data Doesn't provide context for risk-based detection. D. Automated dashboards for all accounts Useful for visibility, but not the first step for risk-

based security.

Reference & Learning Resources
Splunk ES Risk-Based Alerting (RBA): https://www.splunk.com/en_us/blog/security/risk-based- alerting.html
Privileged Account Monitoring in Splunk:
https://docs.splunk.com/Documentation/ES/latest/User/RiskBasedAlerting Implementing Privileged Access Security (PAM) with Splunk: https://splunkbase.splunk.com

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QUESTION: 6

What is the primary purpose of data indexing in Splunk?

To ensure data normalization
To store raw data and enable fast search capabilities
To secure data from unauthorized access
To visualize data using dashboards

Answer(s): B

Explanation:

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

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QUESTION: 7

Which features are crucial for validating integrations in Splunk SOAR? (Choose three)

Testing API connectivity
Monitoring data ingestion rates
Verifying authentication methods
Evaluating automated action performance
Increasing indexer capacity

Answer(s): A,C,D

Explanation:

Validating Integrations in Splunk SOAR
Splunk SOAR (Security Orchestration, Automation, and Response) integrates with various security tools to automate security workflows. Proper validation of integrations ensures that playbooks, threat intelligence feeds, and incident response actions function as expected.
Key Features for Validating Integrations
1 Testing API Connectivity (A)
Ensures Splunk SOAR can communicate with external security tools (firewalls, EDR, SIEM, etc.). Uses API testing tools like Postman or Splunk SOAR's built-in Test Connectivity feature.
2 Verifying Authentication Methods (C)
Confirms that integrations use the correct authentication type (OAuth, API Key, Username/Password, etc.).
Prevents failed automations due to expired or incorrect credentials.
3 Evaluating Automated Action Performance (D)
Monitors how well automated security actions (e.g., blocking IPs, isolating endpoints) perform. Helps optimize playbook execution time and response accuracy.
Incorrect Answers & Explanations
B . Monitoring data ingestion rates Data ingestion is crucial for Splunk Enterprise, but not a core integration validation step for SOAR.
E . Increasing indexer capacity This is related to Splunk Enterprise data indexing, not Splunk SOAR integration validation.
Additional Resources:
Splunk SOAR Administration Guide
Splunk SOAR Playbook Validation
Splunk SOAR API Integrations

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QUESTION: 8

How can you incorporate additional context into notable events generated by correlation searches?

By adding enriched fields during search execution
By using the dedup command in SPL
By configuring additional indexers
By optimizing the search head memory

Answer(s): A

Explanation:

In Splunk Enterprise Security (ES), notable events are generated by correlation searches, which are predefined searches designed to detect security incidents by analyzing logs and alerts from multiple data sources. Adding additional context to these notable events enhances their value for analysts and improves the efficiency of incident response.
To incorporate additional context, you can:
Use lookup tables to enrich data with information such as asset details, threat intelligence, and user identity.
Leverage KV Store or external enrichment sources like CMDB (Configuration Management Database) and identity management solutions.

Apply Splunk macros or eval commands to transform and enhance event data dynamically. Use Adaptive Response Actions in Splunk ES to pull additional information into a notable event. The correct answer is A. By adding enriched fields during search execution, because enrichment occurs dynamically during search execution, ensuring that additional fields (such as geolocation, asset owner, and risk score) are included in the notable event.

Reference:

Splunk ES Documentation on Notable Event Enrichment
Correlation Search Best Practices
Using Lookups for Data Enrichment

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Free Splunk® SPLK-5002 Exam Questions (page: 3)

QUESTION: 5

Explanation:

QUESTION: 6

Explanation:

QUESTION: 7

Explanation:

QUESTION: 8

Explanation:

Reference:

SPLK-5002 Exam Discussions & Posts