Using Field Searches (20%)
This topic will cover 3 major skills including the following:
- Utilizing various fields while making searches;
- Making using of the fields sidebar;
- Understanding the fields.
Reference: https://www.splunk.com/en_us/training/certification-track/splunk-core-certified-user.html
Splunk SPLK-1001 Exam Overview:
| Certification Vendor: | Splunk |
| Exam Name: | Splunk Core Certified User Certification Exam |
| Exam Number: | SPLK-1001 |
| Passing Score: | 70% |
| Exam Format: | Multiple choice, Multiple select |
| Available Languages: | English |
| Related Certifications: | Splunk Core Certified Power User Splunk Core Certified Advanced Power User Splunk Enterprise Certified Admin |
| Certificate Validity Period: | 3 years |
| Exam Duration: | 60 minutes |
| Real Exam Qty: | 40-60 |
| Exam Price: | $130 USD |
| Recommended Training: | Splunk Fundamentals 2 Splunk Fundamentals 1 |
| Exam Registration: | Splunk Certification Portal |
| Sample Questions: | Splunk SPLK-1001 Sample Questions |
| Exam Way: | Online proctored or authorized test center |
| Pre Condition: | No formal prerequisites required; basic understanding of IT data concepts recommended |
| Official Syllabus URL: | https://www.splunk.com/en_us/training/certification.html |
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
Splunk SPLK-1001 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Alerts and Automation | - Alert actions and scheduling - Creating and managing alerts |
| Searching and Reporting | - Search filters, time ranges, and result manipulation - Search Processing Language (SPL) fundamentals - Reports and dashboards creation |
| Fields and Data Interpretation | - Field discovery and extraction - Event analysis and field usage |
| Splunk Basics and Architecture | - Splunk UI navigation and apps - Splunk components and data flow |
| Knowledge Objects and Data Models | - Tags, event types, and lookups - Basic data models and Pivot interface |

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