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| Section | Weight | Objectives |
|---|
| Topic 1: Asset-Based Detection Tactics | 10-15% | - Behavioral Baselines and Profiling
- 1. Statistical deviation detection
- 2. Session and sequence analysis
- Asset Lookup and Enrichment
- 1. Asset Identity Resolution
- 2. Whitelisting and exclusions
- 3. Automatic Asset Correlation (AAC)
|
| Topic 2: Threat Intelligence Integration | 10-15% | - TTP Mapping and MITRE ATT&CK
- 1. MITRE ATT&CK Framework alignment
- 2. Tactic and technique correlation
- 3. DA-ESS-ThreatIntelligence content pack
- Threat Artifacts Management
- 1. Threat List (DA-ESS-ThreatIntelligence)
- 2. IOC ingestion and parsing
- 3. STIX/TAXII integration
|
| Topic 3: Incident Investigation and Response | 15-20% | - Advanced Threat Scenarios
- 1. C2 (Command and Control) detection
- 2. Privilege escalation detection
- 3. Lateral movement patterns
- 4. Data exfiltration indicators
- Investigation Workflow
- 1. Kill chain analysis
- 2. Network and endpoint artifact extraction
- 3. Event sequencing and timeline analysis
|
| Topic 4: 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. Asset and Identity Management
- 2. ES Indexes and Data Models
- 3. Correlation searches and Notable Events
- 4. ES modules overview (DA-ESS*)
|
| Topic 5: Advanced Content Development | 15-20% | - Correlation Search Development
- 1. Adaptive Response Actions
- 2. Search Scheduling and Earliest Time
- 3. Notable Event Suppression logic
- Custom Detections
- 1. Risk-based alert modifications
- 2. SPL-based detection logic
- 3. Anomaly score calculations
|
| Topic 6: Splunk Search Processing Language (SPL) for Security | 20-25% | - Security-Specific SPL Patterns
- 1. Time-based correlation searches
- 2. Field transformations and CIM compliance
- 3. Subsearch patterns for threat chaining
- 4. Macro creation and usage (|sendalert)
- Advanced SPL Commands
- 1. transaction, stats, eventstats
- 2. rex (regex field extraction)
- 3. appendcols, join, union
- 4. lookup, inputlookup, outputlookup
|
| Topic 7: Enterprise Security Administration | 10-15% | - Monitoring and Health
- 1. Index and forwarder validation
- 2. Key Metric monitoring
- 3. ES Health Score dashboard
- ES Configuration and Tuning
- 1. DA-ESS-Policies configuration
- 2. False positive management
- 3. Correlation Search threshold tuning
|
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Splunk Certified Cybersecurity Defense Analyst Sample Questions (Q40-Q45):
NEW QUESTION # 40
An analyst discovers she has only raw data from a source. She believes that it could be of great value to future analysis efforts if it were available to existing correlation searches and reports.
What process should the analyst suggest be performed for that source?
- A. Asset and Identity evaluation via Splunk Enterprise Security.
- B. Data ingest evaluation via Splunk Enterprise.
- C. Common Information Model normalization via a Splunk Add-On.
- D. Data ingestion via Splunk Security Essentials.
Answer: C
Explanation:
By mapping your raw source fields into the CIM using a dedicated add-on (or by creating one), you normalize that data into the standard field names and values that Enterprise Security's correlation searches and reports expect. This makes the new data source immediately usable in existing ES content.
NEW QUESTION # 41
An analyst is building a search to examine Windows XML Event Logs, but the initial search is not returning any extracted fields. Based on the above image, what is the most likely cause?
- A. The analyst is searching newly indexed data that was improperly parsed.
- B. The analyst does not have the proper role to search this data.
- C. The analyst did not add the excract command to their search pipeline.
- D. The analyst is not in the Drooer Search Mode and should switch to Smart or Verbose.
Answer: C
NEW QUESTION # 42
An analyst learns that several types of data are being ingested into Splunk and Enterprise Security, and wants to use the metadata SPL command to list them in a search. Which of the following arguments should she use?
- A. | metadata type=sourcetypes
- B. | metadata type=hosts
- C. | metadata type=cim
- D. | metadata type=assets
Answer: A
Explanation:
Using metadata type=sourcetypes returns a list of all sourcetypes currently indexed, which lets the analyst see exactly which data types are being ingested.
NEW QUESTION # 43
Long-tail analysis is a threat-hunting technique used for which of the following?
- A. Identifying and analyzing only the data from the last month.
- B. Identifying and analyzing infrequent but potentially important events.
- C. Identifying and analyzing only the data from the last week.
- 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 # 44
An organization is using Risk-Based Alerting (RBA). During the past few days, a user account generated multiple risk observations. Splunk refers to this account as what type of entity?
- A. Risk Factor
- B. Risk Analysis
- C. Risk Index
- D. Risk Object
Answer: D
NEW QUESTION # 45
......
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