Splunk Cloud Certified Admin SPLK-1005 Exam covers topics
Forwarder management
Event parsing with data preview
Universal forwarder
Users, roles, and authentication
Manipulating raw data
Problem isolation and Splunk Cloud support
Data inputs in detail
Splunk index management
Splunk configuration files
Installing apps
Splunk Cloud overview
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Role of Splunk in an IT Ops environment
Splunk is a platform that provides real-time operational intelligence. This platform allows users to create custom apps to gather, analyze and act on machine data. Splunk has a variety of features that can be used for various functions but fail in PDF. This guide is designed to familiarize users with some of the basic features of Splunk, as well as its functionality in an IT operations environment.
With this certification, you'll be able to:
Plan, build and maintain a Splunk solution. Know how to deploy a Splunk instance. Understand how to collect data from various sources and send that data to a Splunk installation.
Create dashboards and reports. Be able to create various types of reports from the data collected by a Splunk installation. In addition, be able to use built-in dashboard panels such as tables, charts, gauges, maps, and others.
Perform basic troubleshooting. Be familiar with some of the most common issues that can arise in a Splunk environment and how to resolve them. Perform index maintenance. Understand what indexes are and how they work in Splunk instances; also know how to maintain indexes on indexers/search heads in order to improve performance.
Reference: https://www.splunk.com/en_us/training/certification-track/splunk-cloud-certified-admin.html
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You do! If you are looking for a job as Splunk Administrator or if you are currently working in that role and are looking to advance your career, then a Splunk SPLK-1005 certification is for you. A Splunk SPLK-1005 certification will help employers to decide whether you have the relevant skills and knowledge to be an effective Splunk Administrator. A Splunk SPLK-1005 certification can also help you to make informed decisions about your education, career, and even life! A certificate such as the Splunk SPLK-1005 can be displayed on your CV, resume, or LinkedIn profile which helps employers to better evaluate your skills and proficiency with the technology they are hiring for.
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Splunk SPLK-1005 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Forwarder Management | 5% | - Forwarder types and deployment - Managing forwarders via deployment apps - Deployment Server and deployment clients |
| Topic 2: Monitoring and Troubleshooting | 10% | - System health and performance monitoring - Log and error analysis - Common issues and resolution |
| Topic 3: Splunk Cloud Overview | 5% | - Cloud topology and architecture - Administrator roles and responsibilities - Differences between Splunk Cloud and Splunk Enterprise |
| Topic 4: Parsing and Data Preview | 10% | - Default parsing process - Data preview and validation - Event line breaking and timestamp configuration |
| Topic 5: Monitor Inputs | 15% | - File and directory monitoring inputs - Input configuration and settings - Data ingestion process |
| Topic 6: Index Management | 5% | - Data retention and storage management - Index creation, configuration and monitoring - Understanding indexes in Splunk Cloud |
| Topic 7: User Authentication and Authorization | 10% | - LDAP and SSO integration - Role-based access control - User account management |
| Topic 8: Configuration Files and Settings | 10% | - Managing cloud-compatible configurations - Validation and troubleshooting - Configuration file structure and precedence |
| Topic 9: Network and Other Inputs | 10% | - TCP and UDP network inputs - Input tuning and optional settings - Windows-specific inputs - Scripted inputs |
| Topic 10: Applications and Add-ons | 5% | - Installing and managing apps - Splunk Cloud supported add-ons |
| Topic 11: Working with Splunk Cloud Support | 5% | - Support process and engagement - Collecting diagnostic information |
| Topic 12: Data Manipulation | 10% | - Raw data modification - Field extraction and transformation - Event processing and enrichment |
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