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Splunk SPLK-5001 Exam Syllabus Topics:

Section	Weight	Objectives
Enterprise Security Administration	10-15%	- Monitoring and Health 1. ES Health Score dashboard 2. Key Metric monitoring 3. Index and forwarder validation - ES Configuration and Tuning 1. Correlation Search threshold tuning 2. DA-ESS-Policies configuration 3. False positive management
Asset-Based Detection Tactics	10-15%	- Asset Lookup and Enrichment 1. Whitelisting and exclusions 2. Automatic Asset Correlation (AAC) 3. Asset Identity Resolution - Behavioral Baselines and Profiling 1. Statistical deviation detection 2. Session and sequence analysis
Splunk Enterprise Security (ES) Fundamentals	15-20%	- ES Architecture and Components 1. ES Indexes and Data Models 2. Asset and Identity Management 3. Correlation searches and Notable Events 4. ES modules overview (DA-ESS*) - Security Posture and Dashboard Navigation 1. Incident Review dashboard 2. Investigation timeline views 3. Drill-down workflows
Advanced Content Development	15-20%	- Custom Detections 1. SPL-based detection logic 2. Risk-based alert modifications 3. Anomaly score calculations - Correlation Search Development 1. Adaptive Response Actions 2. Notable Event Suppression logic 3. Search Scheduling and Earliest Time
Incident Investigation and Response	15-20%	- Investigation Workflow 1. Network and endpoint artifact extraction 2. Event sequencing and timeline analysis 3. Kill chain analysis - Advanced Threat Scenarios 1. C2 (Command and Control) detection 2. Privilege escalation detection 3. Lateral movement patterns 4. Data exfiltration indicators
Threat Intelligence Integration	10-15%	- Threat Artifacts Management 1. Threat List (DA-ESS-ThreatIntelligence) 2. IOC ingestion and parsing 3. STIX/TAXII integration - TTP Mapping and MITRE ATT&CK 1. Tactic and technique correlation 2. DA-ESS-ThreatIntelligence content pack 3. MITRE ATT&CK Framework alignment
Splunk Search Processing Language (SPL) for Security	20-25%	- Advanced SPL Commands 1. lookup, inputlookup, outputlookup 2. rex (regex field extraction) 3. appendcols, join, union 4. transaction, stats, eventstats - Security-Specific SPL Patterns 1. Time-based correlation searches 2. Macro creation and usage (\|sendalert) 3. Field transformations and CIM compliance 4. Subsearch patterns for threat chaining

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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q14-Q19):

NEW QUESTION # 14
An analyst is investigating how an attacker successfully performs a brute-force attack to gain a foothold into an organizations systems. In the course of the investigation the analyst determines that the reason no alerts were generated is because the detection searches were configured to run against Windows data only and excluding any Linux data.
This is an example of what?

A. A False Positive.
B. A True Positive.
C. A False Negative.
D. A True Negative.

Answer: C

NEW QUESTION # 15
After discovering some events that were missed in an initial investigation, an analyst determines this is because some events have an empty src field. Instead, the required data is often captured in another field called machine_name.
What SPL could they use to find all relevant events across either field until the field extraction is fixed?

A. | eval src = tostring(machine_name)
B. | eval src = src . machine_name
C. | eval src = src + machine_name
D. | eval src = coalesce(src,machine_name)

Answer: D

NEW QUESTION # 16
The following list contains examples of Tactics, Techniques, and Procedures (TTPs):
* Exploiting a remote service
* Extend movement
* Use EternalBlue to exploit a remote SMB server
In which order are they listed below?

A. Procedure, Technique, Tactic
B. Tactic, Procedure, Technique
C. Technique, Tactic, Procedure
D. Tactic, Technique, Procedure

Answer: D

NEW QUESTION # 17
How are SOAR playbooks used in threat hunting?

A. To automate response actions based on specific security scenarios.
B. To monitor the network for anomalies and indicators of compromise.
C. To define and test hypotheses related to security incidents.
D. To analyze historical data for patterns of abnormal behavior.

Answer: A

NEW QUESTION # 18
In Splunk Risk-Based Alerting, what are a set of conditions that dynamically adjust risk scores for an entity, such as an asset or identity?

A. Risk values
B. Risk factors
C. Risk entities
D. Risk entries

Answer: B

Explanation:
In Splunk Risk-Based Alerting, risk factors are sets of conditions that dynamically adjust the risk scores of entities such as assets or identities. They provide context-aware scoring by increasing or decreasing risk values based on specific attributes or behaviors.

NEW QUESTION # 19
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