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Splunk SPLK-5001 Exam Syllabus Topics:

SectionWeightObjectives
Incident Investigation and Response15-20%- Investigation Workflow
  • 1. Kill chain analysis
  • 2. Event sequencing and timeline analysis
  • 3. Network and endpoint artifact extraction
- Advanced Threat Scenarios
  • 1. Privilege escalation detection
  • 2. Lateral movement patterns
  • 3. Data exfiltration indicators
  • 4. C2 (Command and Control) detection
Advanced Content Development15-20%- Custom Detections
  • 1. Risk-based alert modifications
  • 2. Anomaly score calculations
  • 3. SPL-based detection logic
- Correlation Search Development
  • 1. Search Scheduling and Earliest Time
  • 2. Notable Event Suppression logic
  • 3. Adaptive Response Actions
Asset-Based Detection Tactics10-15%- Asset Lookup and Enrichment
  • 1. Automatic Asset Correlation (AAC)
  • 2. Whitelisting and exclusions
  • 3. Asset Identity Resolution
- Behavioral Baselines and Profiling
  • 1. Session and sequence analysis
  • 2. Statistical deviation detection
Splunk Search Processing Language (SPL) for Security20-25%- Advanced SPL Commands
  • 1. appendcols, join, union
  • 2. transaction, stats, eventstats
  • 3. lookup, inputlookup, outputlookup
  • 4. rex (regex field extraction)
- Security-Specific SPL Patterns
  • 1. Field transformations and CIM compliance
  • 2. Time-based correlation searches
  • 3. Subsearch patterns for threat chaining
  • 4. Macro creation and usage (|sendalert)
Threat Intelligence Integration10-15%- Threat Artifacts Management
  • 1. IOC ingestion and parsing
  • 2. STIX/TAXII integration
  • 3. Threat List (DA-ESS-ThreatIntelligence)
- TTP Mapping and MITRE ATT&CK
  • 1. Tactic and technique correlation
  • 2. DA-ESS-ThreatIntelligence content pack
  • 3. MITRE ATT&CK Framework alignment
Splunk Enterprise Security (ES) Fundamentals15-20%- Security Posture and Dashboard Navigation
  • 1. Investigation timeline views
  • 2. Incident Review dashboard
  • 3. Drill-down workflows
- ES Architecture and Components
  • 1. Asset and Identity Management
  • 2. Correlation searches and Notable Events
  • 3. ES Indexes and Data Models
  • 4. ES modules overview (DA-ESS*)
Enterprise Security Administration10-15%- ES Configuration and Tuning
  • 1. Correlation Search threshold tuning
  • 2. False positive management
  • 3. DA-ESS-Policies configuration
- Monitoring and Health
  • 1. Key Metric monitoring
  • 2. Index and forwarder validation
  • 3. ES Health Score dashboard

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q132-Q137):

NEW QUESTION # 132
Which argument searches only accelerated data in the Network Traffic Data Model with tstats?

Answer: D


NEW QUESTION # 133
While the top command is utilized to find the most common values contained within a field, a Cyber Defense Analyst hunts for anomalies. Which of the following Splunk commands returns the least common values?

Answer: C


NEW QUESTION # 134
An analyst is attempting to investigate a Notable Event within Enterprise Security. Through the course of their investigation they determined that the logs and artifacts needed to investigate the alert are not available.
What event disposition should the analyst assign to the Notable Event?

Answer: B


NEW QUESTION # 135
An IDS signature is designed to detect and alert on logins to a certain server, but only if they occur from 6:00 PM - 6:00 AM. If no IDS alerts occur in this window, but the signature is known to be correct, this would be an example of what?

Answer: A


NEW QUESTION # 136
Outlier detection is an analysis method that groups together data points into high density clusters.
Data points that fall outside of these high density clusters are considered to be what?

Answer: D

Explanation:
In outlier detection, points that lie outside the high-density clusters - i.e., those not fitting into any cluster - are by definition anomalies, as they deviate significantly from the normal data distribution.


NEW QUESTION # 137
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