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| Section | Weight | Objectives |
|---|
| Threat Intelligence Integration | 10-15% | - TTP Mapping and MITRE ATT&CK
- 1. Tactic and technique correlation
- 2. DA-ESS-ThreatIntelligence content pack
- 3. MITRE ATT&CK Framework alignment
- Threat Artifacts Management
- 1. IOC ingestion and parsing
- 2. Threat List (DA-ESS-ThreatIntelligence)
- 3. STIX/TAXII integration
|
| Asset-Based Detection Tactics | 10-15% | - Asset Lookup and Enrichment
- 1. Automatic Asset Correlation (AAC)
- 2. Asset Identity Resolution
- 3. Whitelisting and exclusions
- Behavioral Baselines and Profiling
- 1. Session and sequence analysis
- 2. Statistical deviation detection
|
| Splunk Enterprise Security (ES) Fundamentals | 15-20% | - Security Posture and Dashboard Navigation
- 1. Investigation timeline views
- 2. Incident Review dashboard
- 3. Drill-down workflows
- ES Architecture and Components
- 1. ES modules overview (DA-ESS*)
- 2. Correlation searches and Notable Events
- 3. ES Indexes and Data Models
- 4. Asset and Identity Management
|
| Incident Investigation and Response | 15-20% | - Advanced Threat Scenarios
- 1. Lateral movement patterns
- 2. Privilege escalation detection
- 3. C2 (Command and Control) detection
- 4. Data exfiltration indicators
- Investigation Workflow
- 1. Network and endpoint artifact extraction
- 2. Event sequencing and timeline analysis
- 3. Kill chain analysis
|
| Advanced Content Development | 15-20% | - Custom Detections
- 1. Anomaly score calculations
- 2. SPL-based detection logic
- 3. Risk-based alert modifications
- Correlation Search Development
- 1. Search Scheduling and Earliest Time
- 2. Notable Event Suppression logic
- 3. Adaptive Response Actions
|
| Splunk Search Processing Language (SPL) for Security | 20-25% | - Security-Specific SPL Patterns
- 1. Subsearch patterns for threat chaining
- 2. Macro creation and usage (|sendalert)
- 3. Time-based correlation searches
- 4. Field transformations and CIM compliance
- Advanced SPL Commands
- 1. rex (regex field extraction)
- 2. lookup, inputlookup, outputlookup
- 3. appendcols, join, union
- 4. transaction, stats, eventstats
|
| Enterprise Security Administration | 10-15% | - Monitoring and Health
- 1. Key Metric monitoring
- 2. ES Health Score dashboard
- 3. Index and forwarder validation
- ES Configuration and Tuning
- 1. DA-ESS-Policies configuration
- 2. Correlation Search threshold tuning
- 3. False positive management
|
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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q52-Q57):
NEW QUESTION # 52
An analyst discovers malicious software present within the network. When tracing the origin of the software, the analyst discovers it is actually a part of a third-party vendor application that is used regularly by the organization. This is an example of what kind of threat?
- A. Supply Chain Attack
- B. Account Takeover
- C. Ransomware
- D. Third-Party Malware
Answer: A
NEW QUESTION # 53
A threat hunter generates a report containing the list of users who have logged in to a particular database during the last 6 months, along with the number of times they have each authenticated. They sort this list and remove any user names who have logged in more than 6 times. The remaining names represent the users who rarely log in, as their activity is more suspicious. The hunter examines each of these rare logins in detail.
This is an example of what type of threat-hunting technique?
- A. Outlier Frequency Analysis
- B. Co-Occurrence Analysis
- C. Time Series Analysis
- D. Least Frequency of Occurrence Analysis
Answer: D
NEW QUESTION # 54
Long-tail analysis is a threat-hunting technique used for which of the following?
- A. Identifying and analyzing only the data from the last week.
- B. Identifying and analyzing infrequent but potentially important events.
- C. Identifying and analyzing only the data from the last month.
- D. Identifying and analyzing common events.
Answer: B
Explanation:
Long-tail analysis focuses on the "long tail" of a data distribution - those rare or low-frequency events - which often surface subtle indicators of compromise that bulk analysis might miss.
NEW QUESTION # 55
What is the following step-by-step description an example of?
1. The attacker devises a non-default beacon profile with Cobalt Strike and embeds this within a document.
2. The attacker creates a unique email with the malicious document based on extensive research about their target.
3. When the victim opens this document, a C2 channel is established to the attacker's temporary infrastructure on a compromised website.
- A. Procedure
- B. Policy
- C. Technique
- D. Tactic
Answer: C
NEW QUESTION # 56
How does Splunk Enterprise Security (ES) interact with Common Information Model (CIM) and Data Models?
- A. Data Models are used to enrich the data stored in CIM
- B. CIM provides a framework for categorizing data, and Data Models are used to normalize the data
- C. CIM is used to accelerate Data Models for faster searching
- D. CIM and Data Models are the same thing and can be used interchangeably
Answer: B
NEW QUESTION # 57
......
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