(Threat Actors, Frameworks like NIST, MITRE ATT&CK, CIS Controls, Compliance Standards)
Build Concept Maps:
Do not memorize isolated facts. Draw relationship diagrams showing how concepts are connected.
(Example: How NIST’s 5 functions map to real defense actions; how MITRE ATT&CK Tactics link to Techniques.)
Bidirectional Recall:
Practice both forward (e.g., "What is NIST CSF?") and backward recall (e.g., "What activities are in Identify phase?").
Story-Based Learning:
Turn each framework’s purpose into a small story or case study.
(Example: PCI DSS story revolves around protecting credit card data.)
Focus carefully on keywords in questions, like "most relevant framework" or "first step according to NIST."
Be careful not to confuse frameworks:
ISO 27001 → ISMS
PCI DSS → Payment Security
GDPR → Data Privacy
(Phishing, Malware, Insider Threats, Attack Tactics)
Attack Chain Mapping:
Draw a full attack flow from entry (e.g., phishing) to escalation and impact.
Attack-Motivation-TTP Triad:
For every attack type you study, link it to:
Motivation
Tactics
Techniques used
Practice Detection with Splunk:
For example, when studying Credential Theft, immediately practice writing an SPL query to find failed logins.
Scenario questions often test understanding of TTPs.
Watch carefully whether the question is asking about:
Attack phase (Initial Access, Persistence, etc.)
Attacker motivation (Financial, Political, Revenge)
(Security Controls, Firewall/Authentication/Endpoint Logs, SIEM Tuning)
Log Analysis Templates:
Build a simple checklist for each log type (e.g., Firewall Logs → Action (Allow/Deny) → Source IP → Destination Port).
Log Scenario Drills:
Give yourself small drills like:
"What steps to take if VPN logs show anomalies?"
"What does Event ID 4625 mean in authentication logs?"
SIEM Best Practice Memory Rule:
SIEM questions often focus on "best detection practice" — answers favor early detection, noise reduction, efficient monitoring.
Remember key data source relationships:
Authentication anomalies → Authentication logs
Network attacks → Firewall logs
Web attacks → Web server logs
(Incident Management, Event Correlation, Risk Scoring)
Event Classification Practice:
Simulate 10 sample incidents and practice classifying severity (Low/Medium/High/Critical).
Correlation Thinking Training:
Example links:
Multiple failed logins + one successful login = Potential credential theft
Port scan + suspicious internal access = Potential lateral movement
Risk Assessment Flow Drills:
After practicing detection, practice assigning a risk score based on:
Asset criticality
Threat severity
Vulnerability exploitability
Carefully trace time sequences and causal links when reading questions.
Risk score questions often ask:
(Core SPL Commands, Search Optimization)
Stage-by-Stage Mastery:
Stage 1: search, stats, timechart (basic searches)
Stage 2: eval, rex, dedup (field manipulation)
Stage 3: lookup, eventstats (data enrichment)
Mistake Journal Method:
For every SPL mistake, write down:
The wrong version
The corrected version
Why the correct version is better
Practical Case Emulation:
Replicate real-world Splunk examples — from log ingestion to SPL analysis.
SPL questions often present:
Syntax validation ("Which SPL is correctly written?")
Performance optimization ("Which SPL is most efficient?")
Always prioritize:
Early time filtering (earliest, latest)
Index and sourcetype scoping
Clear and logical SPL structure without unnecessary complexity
(Hunting Process, Remediation Steps, Automation)
Create Personal Hunting Templates:
Trigger source (Intel, Anomaly?)
Target behavior (Unusual login? Data exfiltration?)
Search through Splunk for correlated events
Document findings and next steps
SOAR Automation Simulation:
Design end-to-end automated response flows, e.g.:
Threat Hunting questions often ask:
Remediation questions often test:
| Phase | Study Approach | Focus Points |
|---|---|---|
| Knowledge Building | Draw concept maps, link frameworks/attacks | Understand relationships clearly |
| Daily Practice | Small case studies, small SPL writing exercises | Build habits of analysis and query-writing |
| Before Exam | Mistake review, scenario replays | Master question patterns and key trigger words |
| During Exam | Quick sweep first, read carefully for keywords | Time control + Logical elimination + Analyst mindset |
Study Smart = Build active structures + Daily small drills + Focus on correlation and risk
Test Smart = Control time + Read keywords + Eliminate wrong choices + Think like an Analyst