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SPLK-4001 Exam Topics and Domains
SPLK-4001 is organized into 10 weighted domains. Expect to work with Knowledge Manager, Workflow Action Manager, CIM Add-On, Knowledge Objects, and more.
Using Transforming Commands for Visualizations
Use the chart command
- Create visualizations using the chart command
- Apply appropriate aggregation functions
- Format chart output for different visualization types
Use the timechart command
- Create time-based visualizations
- Configure time spans and buckets
- Apply timechart to trending analysis
Filtering and Formatting Results
The eval command
- Create calculated fields using eval
- Apply eval functions for data manipulation
- Use conditional logic in eval expressions
Use the search and where commands to filter results
- Differentiate between search and where commands
- Apply appropriate filtering techniques
- Optimize search performance with proper filtering
The fillnull command
- Handle null values in search results
- Apply fillnull to improve data quality
- Understand impact on aggregations
Correlating Events
Identify transactions
- Understand transaction concepts
- Identify events that belong together
- Recognize transaction patterns
Group events using fields
- Group events by common field values
- Use transaction command with field parameters
- Handle multi-value fields in transactions
Group events using fields and time
- Define time-based transaction boundaries
- Use maxspan and maxpause effectively
- Specify transaction start and end conditions
Search with transactions
- Search and analyze transactions
- Calculate transaction statistics
- Filter transactions based on criteria
Creating and Managing Fields
Perform regex field extractions using the Field Extractor (FX)
- Create regex-based field extractions
- Use the Field Extractor UI effectively
- Test and validate field extractions
Perform delimiter field extractions using the FX
- Extract fields from delimited data
- Configure delimiter-based extractions
- Handle various delimiter types
Creating Field Aliases and Calculated Fields
Describe, create, and use field aliases
- Understand field alias concepts
- Create and manage field aliases
- Apply aliases for data normalization
Describe, create, and use calculated fields
- Create calculated fields using eval
- Understand calculated field evaluation
- Manage field dependencies
Creating Tags and Event Types
Create and use tags
- Create and manage tags
- Apply tags to field-value pairs
- Use tags for categorization
Describe event types and their uses
- Understand event type concepts
- Identify appropriate use cases
- Recognize event type benefits
Create an event type
- Create event types from search strings
- Configure event type properties
- Manage event type hierarchy
Creating and Using Macros
Describe macros
- Understand macro concepts
- Identify macro use cases
- Recognize macro benefits
Create and use a basic macro
- Create basic search macros
- Invoke macros in searches
- Manage macro definitions
Define arguments and variables for a macro
- Define macro arguments
- Use variables in macro definitions
- Validate macro arguments
Add and use arguments with a macro
- Create parameterized macros
- Pass arguments to macros
- Handle multiple arguments
Creating and Using Workflow Actions
Describe the function of GET, POST, and Search workflow actions
- Understand workflow action types
- Differentiate between GET, POST, and Search
- Identify appropriate use cases
Create a GET workflow action
- Create GET workflow actions
- Configure URL parameters
- Pass field values to external systems
Create a POST workflow action
- Create POST workflow actions
- Configure form data submission
- Map fields to POST parameters
Create a Search workflow action
- Create Search workflow actions
- Build dynamic search strings
- Pass context between searches
Creating Data Models
Describe the relationship between data models and pivot
- Understand data model concepts
- Describe pivot interface functionality
- Explain relationship between models and pivot
Using the Common Information Model (CIM) Add-On
Describe the Splunk CIM
- Understand CIM purpose and benefits
- Describe CIM data model structure
- Explain data normalization concepts
List the knowledge objects included with the Splunk CIM Add-On
- Identify CIM knowledge objects
- List CIM data models
- Understand CIM field mappings
Use the CIM Add-On to normalize data
- Apply CIM to normalize data
- Create CIM-compliant field extractions
- Write searches using CIM fields
How do I earn this certification?
Passing SPLK-4001 earns the Splunk Core Certified Power User certification. It sits in the Splunk Core track.
- SPLK-4002 - Splunk Core Certified Advanced Power UserExpand skills in searching, reporting and advanced knowledge object use cases
- SPLK-2001 - Splunk Enterprise Certified AdminDevelop expertise in daily management of Splunk Enterprise
- SPLK-3001 - Splunk Cloud Certified AdminBuild competence in managing and configuring Splunk Cloud
- SPLK-5001 - Splunk Certified Cybersecurity Defense EngineerLeverage Splunk skills for security operations
- SPLK-2002 - Splunk Enterprise Certified ArchitectAdvanced architecture and deployment skills
- SPLK-3002 - Splunk Enterprise Security Certified AdminSpecialize in Splunk Enterprise Security
- SPLK-1003 - Splunk SOAR Certified Automation DeveloperFocus on security orchestration and automation
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
Use the official PlanetCert Practice Test alongside the study plan below to prepare efficiently for SPLK-4001.
What's changed on this exam?
- ACTIVE
- Last content update: 2024
- Machine Learning Toolkit (MLTK) 5.4 Now integral part of Power User exam, not optional • Release date: 2024-06-01
- Splunk Dashboard Studio Latest New dashboard creation methods being tested • Release date: 2024-03-01
- HTTP Event Collector (HEC) Enhanced Cloud data ingestion now core topic • Release date: 2024-01-01
- Common Information Model (CIM) 5.0 Updated data models and normalization requirements • Release date: 2024-04-01
Who should take this exam?
This exam is typically taken by IT professionals and Career changers entering big data field.
- Experience with Splunk platform
- Understanding of basic Splunk searches
- Familiarity with data analysis concepts
- Completion of Splunk Fundamentals courses