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SPLK-1004 Exam Topics and Domains
SPLK-1004 is organized into 22 weighted domains. Expect to work with Splunk Cloud, Splunk Enterprise.
Exploring Statistical Commands
Performing statistical analysis with stats function
- stats command
- aggregation functions
- by clause
- statistical analysis
- How to use stats for aggregation
- Choosing appropriate statistical functions
- Grouping and summarizing data
- Splunk Enterprise
- Splunk Cloud
- Use stats command for aggregation and analysis
- Apply statistical functions like avg, sum, count, min, max
- Group results using by clause
- Use stats for data summarization
Using fieldsummary
- fieldsummary
- field statistics
- data profiling
- When to use fieldsummary
- Interpreting fieldsummary results
- Splunk Enterprise
- Splunk Cloud
- Understand fieldsummary command usage
- Analyze field statistics and properties
- Identify field data types and values
Using appendpipe
- appendpipe
- result manipulation
- summary rows
- appendpipe use cases
- Creating totals and summaries
- Splunk Enterprise
- Splunk Cloud
- Apply appendpipe for result manipulation
- Create summary rows with appendpipe
- Understand appendpipe vs append
Using count and list functions
- count
- dc (distinct count)
- list
- values
- When to use count vs dc
- list vs values differences
- Splunk Enterprise
- Splunk Cloud
- Apply count and distinct count functions
- Use list and values functions
- Understand differences between list and values
Using eventstats
- eventstats
- event enrichment
- inline statistics
- eventstats use cases
- Preserving original events with statistics
- Splunk Enterprise
- Splunk Cloud
- Apply eventstats for event enrichment
- Understand eventstats vs stats
- Add summary statistics to events
Using streamstats
- streamstats
- running totals
- cumulative statistics
- streaming commands
- streamstats applications
- Running calculations over time
- Splunk Enterprise
- Splunk Cloud
- Apply streamstats for running calculations
- Create cumulative statistics
- Understand streaming vs transforming commands
Exploring eval Command Functions
Using conversion functions
- tostring
- tonumber
- type conversion
- Data type conversion scenarios
- Formatting numbers and strings
- Splunk Enterprise
- Splunk Cloud
- Apply tostring, tonumber functions
- Convert between data types
- Format numeric values
Using text functions
- substr
- replace
- trim
- len
- upper
- lower
- String manipulation techniques
- Text processing scenarios
- Splunk Enterprise
- Splunk Cloud
- Apply string manipulation functions
- Use substr, replace, trim functions
- Concatenate and split strings
Using comparison and conditional functions
- if
- case
- match
- like
- comparison operators
- Conditional logic implementation
- Complex case statements
- Splunk Enterprise
- Splunk Cloud
- Apply if, case functions
- Use comparison operators
- Create conditional logic
Using informational functions
- isnull
- isnotnull
- typeof
- isbool
- Null value handling
- Field validation
- Splunk Enterprise
- Splunk Cloud
- Use isnull, isnotnull functions
- Apply typeof function
- Check field existence
Using statistical functions
- random
- round
- floor
- ceiling
- abs
- sqrt
- Mathematical calculations
- Statistical function applications
- Splunk Enterprise
- Splunk Cloud
- Apply mathematical functions
- Use random, round, floor, ceiling
- Perform calculations with eval
Using makeresults command
- makeresults
- synthetic events
- test data generation
- Creating test scenarios
- Generating sample data
- Splunk Enterprise
- Splunk Cloud
- Create synthetic events
- Generate test data
- Build lookup tables dynamically
Advanced Lookups
Applying advanced lookup options
- lookup definitions
- automatic lookups
- time-based lookups
- Lookup configuration
- Advanced lookup settings
- Splunk Enterprise
- Splunk Cloud
- Configure lookup definitions
- Use automatic lookups
- Apply time-based lookups
Including and excluding events based on lookup values
- inputlookup
- outputlookup
- lookup filtering
- Filtering with lookups
- Lookup-based event selection
- Splunk Enterprise
- Splunk Cloud
- Filter events using lookups
- Use inputlookup and outputlookup
- Apply subsearches with lookups
Using KV Store lookups
- KV Store
- collections
- REST API
- state management
- KV Store operations
- Collection management
- Splunk Enterprise
- Splunk Cloud
- Configure KV Store collections
- Perform CRUD operations
- Use KV Store for state management
Using external lookups
- external lookups
- Python scripts
- external commands
- External lookup implementation
- Script configuration
- Splunk Enterprise
- Splunk Cloud
- Configure external lookup scripts
- Implement Python lookup scripts
- Handle external data sources
Using geospatial lookups
- geospatial lookups
- iplocation
- geographic data
- Geographic data enrichment
- Location-based analysis
- Splunk Enterprise
- Splunk Cloud
- Configure geospatial lookups
- Use iplocation command
- Create geographic visualizations
Understanding best practices for lookups
- lookup optimization
- performance tuning
- best practices
- Lookup performance
- Best practice scenarios
- Splunk Enterprise
- Splunk Cloud
- Optimize lookup performance
- Choose appropriate lookup types
- Manage lookup file sizes
Exploring Alerts
Logging and indexing searchable alert events
- alert logging
- alert indexing
- alert history
- Alert event management
- Alert history searches
- Splunk Enterprise
- Splunk Cloud
- Configure alert logging
- Index alert results
- Search alert history
Referencing lookups in alerts
- lookup-based alerts
- dynamic thresholds
- conditional alerting
- Lookup integration in alerts
- Dynamic alert conditions
- Splunk Enterprise
- Splunk Cloud
- Use lookups in alert searches
- Apply dynamic thresholds from lookups
- Reference lookup tables in conditions
Outputting alert results to a lookup
- outputlookup in alerts
- lookup updates
- feedback mechanisms
- Alert result storage
- Lookup table updates
- Splunk Enterprise
- Splunk Cloud
- Save alert results to lookups
- Update lookup tables from alerts
- Create feedback loops
Using a webhook alert action
- webhooks
- HTTP POST
- JSON payloads
- external integration
- Webhook configuration
- External system integration
- Splunk Enterprise
- Splunk Cloud
- Configure webhook alert actions
- Format webhook payloads
- Integrate with external systems
Creating a log event alert action
- log event action
- custom event creation
- event routing
- Custom event generation
- Alert event formatting
- Splunk Enterprise
- Splunk Cloud
- Create custom log events from alerts
- Format log event messages
- Route alert events to indexes
Advanced Field Creation and Management
Identifying field extraction methods
- field extraction methods
- extraction performance
- extraction types
- Choosing extraction methods
- Performance considerations
- Splunk Enterprise
- Splunk Cloud
- Compare extraction methods
- Choose appropriate extraction technique
- Understand extraction performance
Providing a regex expression to the Field Extractor
- regex
- Field Extractor
- pattern matching
- Regex pattern creation
- Field Extractor usage
- Splunk Enterprise
- Splunk Cloud
- Write regex for field extraction
- Use Field Extractor UI
- Test and validate extractions
Performing search time field extraction using erex and rex
- rex command
- erex command
- named groups
- search-time extraction
- rex syntax and usage
- erex applications
- Splunk Enterprise
- Splunk Cloud
- Use rex command for extraction
- Apply erex for automatic extraction
- Create named capture groups
Improving regex performance in Splunk
- regex optimization
- backtracking
- anchors
- performance tuning
- Regex performance tips
- Optimization techniques
- Splunk Enterprise
- Splunk Cloud
- Optimize regex patterns
- Avoid backtracking
- Use anchors and limits
Working with Self-Describing Data and Files
Understanding self-describing data
- self-describing data
- JSON
- XML
- nested structures
- Data format identification
- Structure understanding
- Splunk Enterprise
- Splunk Cloud
- Identify self-describing data formats
- Understand JSON and XML structures
- Work with nested data
Using the spath command
- spath
- JSON extraction
- XML extraction
- path notation
- spath syntax
- Extracting nested fields
- Splunk Enterprise
- Splunk Cloud
- Extract fields from JSON/XML
- Navigate nested structures
- Apply spath with paths
Using eval with spath function
- eval spath()
- function combination
- data processing
- spath function usage
- eval integration
- Splunk Enterprise
- Splunk Cloud
- Combine eval and spath
- Extract specific elements
- Process structured data
Using the multikv command
- multikv
- tabular extraction
- structured text
- multikv applications
- Tabular data extraction
- Splunk Enterprise
- Splunk Cloud
- Extract tabular data
- Process multi-line events
- Handle structured text
Advanced Search Macros
Using nested search macros
- nested macros
- macro arguments
- macro composition
- Nested macro creation
- Macro organization
- Splunk Enterprise
- Splunk Cloud
- Create nested macros
- Pass arguments between macros
- Build macro libraries
Previewing search macros before executing
- macro preview
- macro debugging
- expansion validation
- Macro testing
- Preview functionality
- Splunk Enterprise
- Splunk Cloud
- Preview macro expansion
- Debug macro issues
- Validate macro logic
Using other knowledge objects with macros
- knowledge object integration
- macro combinations
- cross-object usage
- Integration scenarios
- Knowledge object combinations
- Splunk Enterprise
- Splunk Cloud
- Combine macros with lookups
- Use macros in dashboards
- Integrate with saved searches
Using Acceleration Options: Report & Summary
Describing acceleration
- acceleration
- performance optimization
- pre-computation
- Acceleration concepts
- Method comparison
- Splunk Enterprise
- Splunk Cloud
- Understand acceleration concepts
- Compare acceleration methods
- Identify acceleration benefits
Identifying which reports qualify for acceleration
- acceleration eligibility
- qualifying searches
- transforming commands
- Qualification criteria
- Search analysis
- Splunk Enterprise
- Splunk Cloud
- Determine acceleration eligibility
- Understand qualifying searches
- Identify transforming commands
When Splunk doesn't build acceleration summary
- acceleration failures
- limitations
- troubleshooting
- Failure scenarios
- Limitation understanding
- Splunk Enterprise
- Splunk Cloud
- Identify acceleration failures
- Understand limitations
- Troubleshoot issues
Accelerating a report
- report acceleration
- configuration
- monitoring
- Configuration steps
- Parameter settings
- Splunk Enterprise
- Splunk Cloud
- Configure report acceleration
- Set acceleration parameters
- Monitor acceleration status
Report Acceleration Summaries and Detail pages
- acceleration UI
- summary pages
- management interfaces
- UI navigation
- Information interpretation
- Splunk Enterprise
- Splunk Cloud
- Navigate acceleration interfaces
- Interpret summary information
- Manage accelerated reports
Understanding summary indexing
- summary indexing
- pre-aggregation
- storage optimization
- Summary index concepts
- Use case identification
- Splunk Enterprise
- Splunk Cloud
- Understand summary index concepts
- Compare with report acceleration
- Identify use cases
Using summary indexing transforming commands
- sistats
- sichart
- sitimechart
- sitop
- sirare
- Summary command usage
- Command selection
- Splunk Enterprise
- Splunk Cloud
- Use sistats, sichart, sitimechart
- Apply summary commands
- Create summary searches
Searching against a summary
- summary searches
- index queries
- data combination
- Summary search syntax
- Query optimization
- Splunk Enterprise
- Splunk Cloud
- Query summary indexes
- Use summary data effectively
- Combine with raw data
Handling gaps and overlaps in summary indexes
- data gaps
- overlaps
- backfill
- data integrity
- Gap detection
- Overlap resolution
- Splunk Enterprise
- Splunk Cloud
- Identify data gaps
- Handle overlapping data
- Implement backfill strategies
Using Acceleration Options: Data Models and tsidx Files
Exploring data models using datamodel command
- datamodel command
- model exploration
- structure analysis
- datamodel command usage
- Model investigation
- Splunk Enterprise
- Splunk Cloud
- Use datamodel command
- Explore model structure
- Query data model information
Understanding data model acceleration
- data model acceleration
- tsidx generation
- performance benefits
- Acceleration concepts
- Benefit analysis
- Splunk Enterprise
- Splunk Cloud
- Understand acceleration mechanism
- Identify acceleration benefits
- Compare with other methods
Accelerating data models
- acceleration configuration
- retention settings
- build monitoring
- Configuration process
- Settings optimization
- Splunk Enterprise
- Splunk Cloud
- Configure model acceleration
- Set retention periods
- Monitor acceleration builds
Understanding tsidx files
- tsidx files
- time-series index
- storage optimization
- tsidx concepts
- Storage management
- Splunk Enterprise
- Splunk Cloud
- Understand tsidx structure
- Identify tsidx benefits
- Manage tsidx storage
Working with tsidx files using tstats
- tstats command
- tsidx queries
- statistical operations
- tstats syntax
- Query construction
- Splunk Enterprise
- Splunk Cloud
- Use tstats command
- Query tsidx data
- Apply tstats filters
Using tstats to search accelerated data models
- tstats with data models
- summariesonly
- search optimization
- Model search syntax
- Optimization techniques
- Splunk Enterprise
- Splunk Cloud
- Search data models with tstats
- Apply summariesonly parameter
- Optimize model searches
Determining which acceleration option to use
- acceleration comparison
- decision criteria
- use case analysis
- Method selection
- Decision factors
- Splunk Enterprise
- Splunk Cloud
- Compare acceleration methods
- Choose appropriate option
- Consider use case requirements
Using Search Efficiently
Splunk architecture components
- search heads
- indexers
- forwarders
- architecture
- Architecture understanding
- Component interactions
- Splunk Enterprise
- Splunk Cloud
- Understand search architecture
- Identify component roles
- Understand data flow
Search flow
- search phases
- map-reduce
- search pipeline
- Search processing steps
- Phase optimization
- Splunk Enterprise
- Splunk Cloud
- Understand search processing
- Identify search phases
- Optimize search flow
Streaming commands
- streaming commands
- distributed processing
- event-by-event
- Command identification
- Streaming benefits
- Splunk Enterprise
- Splunk Cloud
- Identify streaming commands
- Understand streaming benefits
- Apply streaming efficiently
Transforming commands
- transforming commands
- result transformation
- aggregation
- Command classification
- Transformation effects
- Splunk Enterprise
- Splunk Cloud
- Identify transforming commands
- Understand transformation impact
- Optimize transformations
Command ordering
- command ordering
- optimization
- performance tuning
- Ordering strategies
- Performance impact
- Splunk Enterprise
- Splunk Cloud
- Optimize command sequence
- Reduce data early
- Improve search performance
Job inspector
- Job Inspector
- performance analysis
- execution details
- Inspector usage
- Performance diagnosis
- Splunk Enterprise
- Splunk Cloud
- Use Job Inspector
- Analyze search performance
- Identify bottlenecks
More Search Tuning
Pre-filtering search data
- pre-filtering
- index filters
- time ranges
- scope reduction
- Filtering strategies
- Scope optimization
- Splunk Enterprise
- Splunk Cloud
- Apply pre-filtering techniques
- Use time and index filters
- Reduce search scope early
Lispy and boolean operators
- Lispy
- boolean operators
- AND/OR/NOT
- search optimization
- Boolean logic
- Expression optimization
- Splunk Enterprise
- Splunk Cloud
- Understand Lispy syntax
- Use boolean operators effectively
- Optimize search expressions
Lispy and wildcards
- wildcards
- pattern matching
- performance impact
- Wildcard usage
- Performance considerations
- Splunk Enterprise
- Splunk Cloud
- Use wildcards efficiently
- Understand wildcard impact
- Avoid wildcard pitfalls
Using the TERM directive
- TERM()
- exact matching
- performance optimization
- TERM usage
- Performance benefits
- Splunk Enterprise
- Splunk Cloud
- Apply TERM() for exact matching
- Improve search performance
- Bypass field extraction
Manipulating and Filtering Data
bin command
- bin command
- bucketing
- discretization
- time grouping
- bin applications
- Bucket creation
- Splunk Enterprise
- Splunk Cloud
- Use bin for discretization
- Create time buckets
- Group numeric values
xyseries command
- xyseries
- data pivoting
- table transformation
- xyseries usage
- Data reshaping
- Splunk Enterprise
- Splunk Cloud
- Convert results to table format
- Create pivot-like views
- Transform data layout
untable command
- untable
- data unpivoting
- reverse transformation
- untable applications
- Data conversion
- Splunk Enterprise
- Splunk Cloud
- Reverse table transformations
- Convert tables to events
- Unpivot data
foreach command
- foreach
- field iteration
- bulk operations
- foreach syntax
- Iteration patterns
- Splunk Enterprise
- Splunk Cloud
- Iterate over fields
- Apply operations to multiple fields
- Use field patterns
strftime function
- strftime
- time formatting
- epoch conversion
- Time formatting
- strftime patterns
- Splunk Enterprise
- Splunk Cloud
- Format time values
- Convert epoch time
- Create custom time formats
Working with Multivalued Fields
Multivalued fields
- multivalued fields
- MV fields
- field arrays
- MV field concepts
- Field identification
- Splunk Enterprise
- Splunk Cloud
- Understand multivalued concepts
- Identify multivalued fields
- Work with MV data
Multivalued eval functions
- mvcount
- mvindex
- mvfilter
- mvjoin
- mvappend
- mvrange
- MV function usage
- Function selection
- Splunk Enterprise
- Splunk Cloud
- Use mvcount, mvindex, mvfilter
- Apply mvjoin, mvappend
- Process MV fields
makemv command
- makemv
- field splitting
- delimiters
- makemv usage
- Delimiter selection
- Splunk Enterprise
- Splunk Cloud
- Create multivalued fields
- Split strings into MV
- Use delimiters
mvexpand command
- mvexpand
- event expansion
- row multiplication
- mvexpand applications
- Expansion control
- Splunk Enterprise
- Splunk Cloud
- Expand MV fields to events
- Create separate events
- Handle expansion limits
Using Advanced Transactions
Evaluating events to create transactions
- transaction command
- event grouping
- transaction boundaries
- Transaction creation
- Boundary definition
- Splunk Enterprise
- Splunk Cloud
- Use transaction command
- Define transaction boundaries
- Group related events
Handling common values/different field names
- field mapping
- aliases
- field normalization
- Field mapping strategies
- Alias usage
- Splunk Enterprise
- Splunk Cloud
- Join events with different fields
- Use field aliases
- Handle field variations
Alternative to coalesce
- coalesce
- null handling
- field merging
- Coalesce alternatives
- Value merging
- Splunk Enterprise
- Splunk Cloud
- Use coalesce alternatives
- Handle null values
- Merge field values
Identifying complete vs incomplete transactions
- transaction completeness
- startswith
- endswith
- closed_txn
- Completeness detection
- Transaction validation
- Splunk Enterprise
- Splunk Cloud
- Detect transaction completeness
- Use startswith/endswith
- Handle incomplete transactions
Making transactions more efficient
- transaction optimization
- maxspan
- maxpause
- performance
- Optimization techniques
- Parameter tuning
- Splunk Enterprise
- Splunk Cloud
- Optimize transaction searches
- Use maxspan and maxpause
- Apply transaction limits
stats and transactions
- stats vs transaction
- performance comparison
- method selection
- Method comparison
- Stats alternatives
- Splunk Enterprise
- Splunk Cloud
- Replace transaction with stats
- Compare approaches
- Choose optimal method
Working with Time
Using time effectively
- time optimization
- time modifiers
- time functions
- Time usage strategies
- Modifier applications
- Splunk Enterprise
- Splunk Cloud
- Optimize time-based searches
- Use time modifiers
- Apply time functions
Default time fields
- _time
- _indextime
- time fields
- timestamp extraction
- Time field usage
- Field differences
- Splunk Enterprise
- Splunk Cloud
- Understand _time field
- Use _indextime
- Apply time fields
Using Subsearches
Filtering through many results
- subsearch filtering
- dynamic filters
- result reduction
- Filtering techniques
- Subsearch applications
- Splunk Enterprise
- Splunk Cloud
- Use subsearches for filtering
- Apply dynamic filters
- Reduce result sets
Subsearch caveats
- subsearch limits
- performance impact
- failure handling
- Limitation awareness
- Error handling
- Splunk Enterprise
- Splunk Cloud
- Understand subsearch limits
- Identify performance impacts
- Handle subsearch failures
When to use subsearch
- use case identification
- subsearch patterns
- scenario selection
- Use case selection
- Pattern recognition
- Splunk Enterprise
- Splunk Cloud
- Identify appropriate use cases
- Apply subsearch patterns
- Choose subsearch scenarios
When NOT to use subsearch
- subsearch alternatives
- performance considerations
- anti-patterns
- Alternative approaches
- Performance optimization
- Splunk Enterprise
- Splunk Cloud
- Identify inappropriate uses
- Understand alternatives
- Avoid performance issues
Troubleshooting subsearches
- subsearch debugging
- testing strategies
- problem resolution
- Debugging techniques
- Problem solving
- Splunk Enterprise
- Splunk Cloud
- Debug subsearch issues
- Test subsearches independently
- Resolve common problems
append command
- append
- appendcols
- appendpipe
- result combination
- Append usage
- Command variations
- Splunk Enterprise
- Splunk Cloud
- Use append for result combination
- Apply appendcols and appendpipe
- Understand append variations
Creating Dashboards
Define simple XML syntax for views
- Simple XML
- dashboard structure
- panel definition
- XML syntax
- Structure creation
- Splunk Enterprise
- Splunk Cloud
- Understand Simple XML structure
- Create dashboard panels
- Apply XML elements
Best practices for creating views
- best practices
- performance optimization
- layout design
- Best practice application
- Design principles
- Splunk Enterprise
- Splunk Cloud
- Apply dashboard best practices
- Optimize dashboard performance
- Design effective layouts
Troubleshooting views
- dashboard debugging
- XML validation
- issue resolution
- Debugging techniques
- Problem identification
- Splunk Enterprise
- Splunk Cloud
- Debug dashboard issues
- Validate XML syntax
- Resolve display problems
Using Forms
How tokens work
- tokens
- variable passing
- token syntax
- Token mechanics
- Value passing
- Splunk Enterprise
- Splunk Cloud
- Understand token concepts
- Apply token syntax
- Pass values between inputs
Use tokens with form inputs
- form inputs
- token binding
- input types
- Input creation
- Token integration
- Splunk Enterprise
- Splunk Cloud
- Create form inputs
- Bind tokens to inputs
- Handle input events
Create cascading inputs
- cascading inputs
- dependent dropdowns
- dynamic inputs
- Cascading logic
- Dependency management
- Splunk Enterprise
- Splunk Cloud
- Build dependent inputs
- Create dynamic dropdowns
- Implement input chains
Define types of token filters
- token filters
- prefix/suffix
- value transformation
- Filter applications
- Value manipulation
- Splunk Enterprise
- Splunk Cloud
- Apply token filters
- Use prefix/suffix
- Transform token values
Improving Performance
Ways to improve dashboard performance
- dashboard optimization
- search efficiency
- caching
- Optimization techniques
- Performance strategies
- Splunk Enterprise
- Splunk Cloud
- Optimize dashboard searches
- Reduce panel load times
- Apply caching strategies
Use the tstats command
- tstats in dashboards
- acceleration usage
- query optimization
- tstats applications
- Dashboard acceleration
- Splunk Enterprise
- Splunk Cloud
- Apply tstats in dashboards
- Leverage acceleration
- Optimize statistical queries
Create base and post-process searches
- base searches
- post-processing
- search reuse
- Base search design
- Post-process efficiency
- Splunk Enterprise
- Splunk Cloud
- Implement base searches
- Create post-process searches
- Share search results
Customizing Dashboards
Customize chart and panel properties
- chart customization
- panel properties
- visualization options
- Property modification
- Customization options
- Splunk Enterprise
- Splunk Cloud
- Modify chart properties
- Customize panel appearance
- Apply visualization options
Set panel refresh and delay times
- refresh intervals
- search delays
- timing optimization
- Timing configuration
- Refresh strategies
- Splunk Enterprise
- Splunk Cloud
- Configure refresh intervals
- Set search delays
- Optimize update timing
Disable search access features
- access control
- feature disabling
- user permissions
- Access management
- Feature control
- Splunk Enterprise
- Splunk Cloud
- Control user interactions
- Disable search features
- Manage dashboard permissions
Create event annotations
- event annotations
- visual markers
- event highlighting
- Annotation creation
- Event marking
- Splunk Enterprise
- Splunk Cloud
- Add event annotations
- Highlight important events
- Create visual markers
Adding Drilldowns
Define types of drilldowns
- drilldown types
- link types
- navigation options
- Drilldown selection
- Type differences
- Splunk Enterprise
- Splunk Cloud
- Understand drilldown types
- Choose appropriate drilldown
- Implement different styles
Identify predefined tokens
- click.value
- row.*
- predefined tokens
- Token identification
- Token usage
- Splunk Enterprise
- Splunk Cloud
- Use click tokens
- Apply row tokens
- Leverage system tokens
Create dynamic drilldowns
- dynamic drilldowns
- conditional logic
- context awareness
- Dynamic implementation
- Conditional navigation
- Splunk Enterprise
- Splunk Cloud
- Build conditional drilldowns
- Create dynamic navigation
- Implement context-aware links
Adding Advanced Behaviors and Visualizations
Identify types of event handlers
- event handlers
- change events
- selection events
- Handler types
- Event processing
- Splunk Enterprise
- Splunk Cloud
- Understand event handler types
- Apply change handlers
- Use selection handlers
Define event actions
- event actions
- token setting
- dashboard updates
- Action definition
- Update triggers
- Splunk Enterprise
- Splunk Cloud
- Create event actions
- Set token values
- Trigger dashboard updates
Create contextual drilldowns
- contextual drilldowns
- conditional navigation
- smart links
- Context implementation
- Smart navigation
- Splunk Enterprise
- Splunk Cloud
- Build context-sensitive drilldowns
- Apply conditional logic
- Create smart navigation
How do I earn this certification?
Passing SPLK-1004 earns the Splunk Core Certified Advanced Power User certification. It sits in the Splunk Core track.
- SPLK-1003 - Splunk Enterprise Certified AdminMove into Splunk administration and management
- SPLK-3001 - Splunk Enterprise Security Certified Admin Specialize in security operations with Splunk
- SPLK-3002 - Splunk IT Service Intelligence Certified AdminFocus on IT service monitoring and analytics
- SPLK-3003 - Splunk Core Certified ConsultantAdvanced consulting and implementation expertise
- SPLK-4001 - Splunk O11y Cloud Certified Metrics UserMove into observability and metrics monitoring
- SPLK-5001 - Splunk Cloud Certified AdminSpecialize in Splunk Cloud administration
Practice with Precision
The PlanetCert Simulator mirrors the real exam environment with authentic questions and timed pressure.
How to study for this exam?
The most effective way to prepare for SPLK-1004 is by using the PlanetCert Simulator to practice questions and review detailed explanations.
What's changed on this exam?
- ACTIVE
- Last content update: 2024
- Search Processing Language (SPL) Latest Core exam topic - continuous evolution • Release date: Ongoing updates
- Dashboard Studio Latest Increasingly important for dashboard topics • Release date: 2024
- Data Models Enhanced in 2024 Critical for acceleration topics • Release date: 2024
Who should take this exam?
This exam is typically taken by Power Users seeking advanced certification and Data Analysts working with Splunk.
- 6+ months of hands-on Splunk experience
- Strong understanding of SPL (Search Processing Language)
- Experience with dashboard creation and customization
- Knowledge of Splunk architecture and components
- Completion of Splunk Core Certified Advanced Power User Learning Path