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| Section | Weight | Objectives |
|---|---|---|
| Data Engineering | 10% | - Indexing performance and management - Data ingestion and onboarding - Data parsing, normalization, and CIM alignment |
| Security Automation (SOAR) | 30% | - Playbook design and automation workflows - Incident response automation and orchestration |
| Security Operations and Program Development | 20% | - Threat intelligence integration - SOC process design and operational workflows |
| Detection Engineering | 40% | - Detection enrichment with context and risk-based alerting - Creation and tuning of detections (Correlation Searches) - Notable event generation and lifecycle management |
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NEW QUESTION # 82
What is the primary purpose of correlation searches in Splunk?
Answer: B
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 # 83
Which Splunk configuration ensures events are parsed and indexed only once for optimal storage?
Answer: A
Explanation:
Why Use Index-Time Transformations for One-Time Parsing & Indexing?
Splunk parses and indexes data once during ingestion to ensure efficient storage and search performance.
Index-time transformations ensure that logs are:
#Parsed, transformed, and stored efficiently before indexing.#Normalized before indexing, so the SOC team doesn't need to clean up fields later.#Processed once, ensuring optimal storage utilization.
#Example of Index-Time Transformation in Splunk:#Scenario: The SOC team needs to mask sensitive data in security logs before storing them in Splunk.#Solution: Use anINDEXED_EXTRACTIONSrule to:
Redact confidential fields (e.g., obfuscate Social Security Numbers in logs).
Rename fields for consistency before indexing.
NEW QUESTION # 84
Below is an example of a Sysmon process create log. Which EventCode would be associated with this log entry?
Answer: C
Explanation:
A Sysmon Process Create event is identified by Event ID 1 , making EventCode=1 the correct selection.
This event type is among the most important endpoint telemetry sources for detection engineering because it records process execution and provides fields useful for reconstructing process relationships and identifying suspicious command execution.
Typical Process Create telemetry can contain attributes such as the process image, command line, process identifier, parent process, parent command line, user context, hashes, integrity level, and process GUID.
These fields support detections for suspicious scripting interpreters, unusual parent-child relationships, LOLBins, encoded commands, malware execution, and other endpoint behaviors.
The remaining event IDs represent different Sysmon activities. Event ID 2 concerns changes to file creation time, while Event ID 3 represents network connections when that telemetry is enabled. Event ID 4 records changes in the Sysmon service state. None of those describes the process-creation record shown in the question.
Correct event-type interpretation is fundamental to building accurate SPL because filtering on the wrong EventCode can completely change the semantic meaning of a detection.
Study Guide topics: Sysmon telemetry, Event ID 1, process creation, Windows endpoint data, process analytics, event normalization.
NEW QUESTION # 85
What are benefits of aligning security processes with common methodologies like NIST or MITRE ATT&CK?(Choosetwo)
Answer: A,C
Explanation:
Aligning security processes with frameworks likeNIST Cybersecurity Framework (CSF)orMITRE ATT&CKprovides astructured approach to threat detection and response.
Benefits of Using Common Security Methodologies:
Enhancing Organizational Compliance (A)
Helps organizationsmeet regulatory requirements(e.g., NIST, ISO 27001, GDPR).
Ensuresconsistent security controlsare implemented.
Ensuring Standardized Threat Responses (C)
MITRE ATT&CK providesa common language for adversary techniques.
ImprovesSOC workflows by aligning detection and response strategies.
NEW QUESTION # 86
What feature allows you to extract additional fields from events at search time?
Answer: D
Explanation:
Splunk allows dynamic field extraction to enhance data analysis without modifying raw indexed data.
Search-Time Field Extraction:
Extracts fields on-demand when running searches.
Uses Splunk's Field Extraction Engine (rex,spath, or automatic field discovery).
Minimizes indexing overhead by keeping the raw data unchanged.
NEW QUESTION # 87
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