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How to register for the Splunk SPLK-1004 Exam?
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What skills are measured by the Splunk SPLK-1004 Exam?
If you want to know what skills are measured by the SPLK-1004 exam, then you're in the right place. The SPLK-1004 exam is designed to measure three important skills that are necessary for a successful Splunk Administrator:
Ability to install and configure Splunk software
Ability to troubleshoot and resolve problems using Splunk software The SPLK-1004 exam objectives are designed to test these skills.
Ability to use Splunk software
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Splunk SPLK-1004 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Exploring Field Extractions | 10% | - Creating custom fields - Using calculated fields - Using field aliases - Using the Field Extractor |
| Topic 2: Exploring Statistical Commands | 4% | - Using appendpipe - Using eventstats - Using streamstats - Using count and list functions - Performing statistical analysis with stats function - Using fieldsummary |
| Topic 3: Exploring Alerts | 4% | - Using alert manager - Understanding alert actions - Logging and indexing searchable alert events - Referencing alert actions |
| Topic 4: Exploring Dashboards and Forms | 15% | - Creating dashboards using Simple XML - Using dynamic form inputs - Using tokens - Using event handlers - Using drilldowns |
| Topic 5: Exploring Lookups | 4% | - Understanding best practices for lookups - Using external lookups - Applying advanced lookup options - Using KV Store lookups - Including and excluding events based on lookup values - Using geospatial lookups |
| Topic 6: Exploring Splunk's Search Processing Language | 15% | - Using advanced search commands - Using transactions - Using search macros - Using tags and event types - Using workflow actions |
| Topic 7: Exploring eval Command Functions | 4% | - Using comparison and conditional functions - Using makeresults command - Using conversion functions - Using statistical functions - Using informational functions - Using text functions |
| Topic 8: Exploring Data Models | 10% | - Creating data models - Understanding data models - Using pivot - Using data model objects |
| Topic 9: Exploring Search Optimization | 10% | - Using report acceleration - Using summary indexing - Using search optimization techniques - Using tsidx files |
