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Salary of Splunk Core Certified User (SPLK-1001) certified professionals
The salary of Splunk Core Certified User (SPLK-1001) certified professionals varies from $65K to $93K depending on the years of experience
New Job Roles to Apply For
The Splunk Core Certified User certification is your pathway to in-demand big data job roles in Splunk attracts extremely lucrative job titles, with multiple opportunities to help you advance. Generally, certification holders report a sharp increase in their earning potential, hitting up to $88,417 annually, according to Payscale.com. Even starters report attractive salaries compared to their fellows without relevant background skills and technical experience. Specific job titles that you can obtain using this certificate include the following with the average annual salaries as per the Payscale.com website:
- Programming Analyst - $66,827;
- Systems Engineer - $80,624;
- Software Engineer - $86,442;
- Security Engineer - $91,999.
- Technical Service Manager - $79,218;
Reference: https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-user.html
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Splunk SPLK-1001 Exam Content Outline?
The Splunk SPLK-1001 exam syllabus is derived from the following topics:
Splunk Basics (5%)
The concept of Splunk Basics is built around a variety of technical skills as highlighted below:
- Knowledge of Splunk uses;
- Defining Splunk apps;
- Basic navigation in Splunk.
- Customizing user settings;
- Splunk components;
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Search Language Fundamentals (15%)
Search Language Fundamentals has most of its concepts derived from these concepts:
- Revising core search commands as well as common search practices;
- Specifying indexes in searches;
- Examining the pipeline for searches;
- Using tables, dedup, sort, fields, and rename to perform searches.
Splunk SPLK-1001 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Searching and Reporting | - Reports and dashboards creation - Search filters, time ranges, and result manipulation - Search Processing Language (SPL) fundamentals |
| Topic 2: Splunk Basics and Architecture | - Splunk UI navigation and apps - Splunk components and data flow |
| Topic 3: Fields and Data Interpretation | - Event analysis and field usage - Field discovery and extraction |
| Topic 4: Alerts and Automation | - Creating and managing alerts - Alert actions and scheduling |
| Topic 5: Knowledge Objects and Data Models | - Basic data models and Pivot interface - Tags, event types, and lookups |




