Splunk Enterprise Data Administration

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Module 1 -Introduction to Data Administration

Provide an overview of Splunk
Describe the four phases of the distributed model
Describe data input types and metadata settings
Configure initial input testing with Splunk Web
Testing Indexes with Input Staging

Module 2 – Getting Data In – Staging

Identify Splunk configuration files and directories
Describe index-time and search-time precedence
Validate and update configuration files

Module 3 – Configuring Forwarders

Identify the role of production indexers and forwarders
Understand and configure Universal Forwarders
Understand and configure Heavy Forwarders
Understand and configure intermediate forwarders
Identify additional forwarder options

Module 4 – Forwarder Management

Describe Splunk Deployment Server (DS)
Manage forwarders using deployment apps
Configure deployment clients and client groups
Monitor forwarder management activities

Module 5 – Monitor Inputs

Create file and directory monitor inputs
Use optional settings for monitor inputs
Deploy a remote monitor input

Module 6 – Network and Scripted Inputs

Create network (TCP and UDP) inputs
Describe optional settings for network inputs

Module 7 – Agentless Inputs

Create a basic scripted input

Module 8 – Fine Tuning Inputs

Configure Splunk HTTP Event Collector (HEC) agentless input
Describe Splunk App for Stream

Module 9 – Parsing Phase and Data

Identify Linux-specific inputs
Identify Windows-specific inputs

Module 10 – Manipulating Raw Data

Understand the default processing that occurs during input phase
Configure input phase options, such as source type fine-tuning and character set encoding

Module 11 – Supporting Knowledge Objects

Understand the default processing that occurs during parsing
Optimize and configure event line breaking
Explain how timestamps and time zones are extracted or assigned to events
Use Data Preview to validate event creation during parsing phase

Module 12 – Creating a Diag

Explain how data transformations are defined and invoked
Use transformations with props.conf and transforms.conf to:

Mask or delete raw data as it is being indexed
Override sourcetype or host based upon event values
Route events to specific indexes based on event content
Prevent unwanted events from being indexed


Use SEDCMD to modify raw data

Module 13 – Supporting Knowledge Objects

Define default and custom search time field extractions
Identify the pros and cons of indexed time field extractions
Configure indexed field extractions
Describe default search time extractions
Manage orphaned knowledge objects

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