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Splunk Certified Cybersecurity Defense Engineer Sample Questions (Q47-Q52):
NEW QUESTION # 47
What is the primary purpose of data indexing in Splunk?
Answer: A
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
NEW QUESTION # 48
A security analyst wants to validate whether a newly deployed SOAR playbook is performing as expected.
Whatsteps should they take?
Answer: C
Explanation:
A SOAR (Security Orchestration, Automation, and Response) playbook is a set of automated actions designed to respond to security incidents. Before deploying it in a live environment, a security analyst must ensure that it operates correctly, minimizes false positives, and doesn't disrupt business operations.
#Key Reasons for Using Simulated Incidents:
Ensures that the playbook executes correctly and follows the expected workflow.
Identifies false positives or incorrect actions before deployment.
Tests integrations with other security tools (SIEM, firewalls, endpoint security).
Provides a controlled testing environment without affecting production.
How to Test a Playbook in Splunk SOAR?
1##Use the "Test Connectivity" Feature - Ensures that APIs and integrations work.2##Simulate an Incident - Manually trigger an alert similar to a real attack (e.g., phishing email or failed admin login).3##Review the Execution Path - Check each step in the playbook debugger to verify correct actions.4##Analyze Logs & Alerts - Validate that Splunk ES logs, security alerts, and remediation steps are correct.5##Fine-tune Based on Results - Modify the playbook logic to reduce unnecessary alerts or excessive automation.
Why Not the Other Options?
#B. Monitor the playbook's actions in real-time environments - Risky without prior validation. Itcan cause disruptions if the playbook misfires.#C. Automate all tasks immediately - Not best practice. Gradual deployment ensures better security control and monitoring.#D. Compare with existing workflows - Good practice, but it does not validate the playbook's real execution.
References & Learning Resources
#Splunk SOAR Documentation: https://docs.splunk.com/Documentation/SOAR#Testing Playbooks in Splunk SOAR: https://www.splunk.com/en_us/products/soar.html#SOAR Playbook Debugging Best Practices:
https://splunkbase.splunk.com
NEW QUESTION # 49
How can you incorporate additional context into notable events generated by correlation searches?
Answer: D
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 orevalcommands 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.
References:
Splunk ES Documentation on Notable Event Enrichment
Correlation Search Best Practices
Using Lookups for Data Enrichment
NEW QUESTION # 50
What is the primary purpose of correlation searches in Splunk?
Answer: A
Explanation:
Correlation searches in Splunk Enterprise Security (ES) are a critical component of Security Operations Center (SOC) workflows, designed to detect threats by analyzing security data from multiple sources.
Primary Purpose of Correlation Searches:
Identify threats and anomalies: They detect patterns and suspicious activity by correlating logs, alerts, and events from different sources.
Automate security monitoring: By continuously running searches on ingested data, correlationsearches help reduce manual efforts for SOC analysts.
Generate notable events: When a correlation search identifies a security risk, it creates a notable event in Splunk ES for investigation.
Trigger security automation: In combination with Splunk SOAR, correlation searches can initiate automated response actions, such as isolating endpoints or blocking malicious IPs.
Since correlation searches analyze relationships and patterns across multiple data sources to detect security threats, the correct answer is B. To identify patterns and relationships between multiple data sources.
References:
Splunk ES Correlation Searches Overview
Best Practices for Correlation Searches
Splunk ES Use Cases and Notable Events
NEW QUESTION # 51
What is the main purpose of Splunk's Common Information Model (CIM)?
Answer: C
Explanation:
What is the Splunk Common Information Model (CIM)?
Splunk's Common Information Model (CIM) is a standardized way to normalize and map event data from different sources to a common field format. It helps with:
Consistent searches across diverse log sources
Faster correlation of security events
Better compatibility with prebuilt dashboards, alerts, and reports
Why is Data Normalization Important?
Security teams analyze data from firewalls, IDS/IPS, endpoint logs, authentication logs, and cloud logs.
These sources have different field names (e.g., "src_ip" vs. "source_address").
CIM ensures a standardized format, so correlation searches work seamlessly across different log sources.
How CIM Works in Splunk?
#Maps event fields to a standardized schema#Supports prebuilt Splunk apps like Enterprise Security (ES)
#Helps SOC teams quickly detect security threats
#Example Use Case:
A security analyst wants to detect failed admin logins across multiple authentication systems.
Without CIM, different logs might use:
user_login_failed
auth_failure
login_error
With CIM, all these fields map to the same normalized schema, enabling one unified search query.
Why Not the Other Options?
#A. Extract fields from raw events - CIM does not extract fields; it maps existing fields into a standardized format.#C. Compress data during indexing - CIM is about data normalization, not compression.#D. Create accelerated reports - While CIM supports acceleration, its main function is standardizing log formats.
References & Learning Resources
#Splunk CIM Documentation: https://docs.splunk.com/Documentation/CIM#How Splunk CIM Helps with Security Analytics: https://www.splunk.com/en_us/solutions/common-information-model.html#Splunk Enterprise Security & CIM Integration: https://splunkbase.splunk.com/app/263
NEW QUESTION # 52
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