Splunk Enterprise Data Administration (SEDA) – Outline

Detailed Course Outline

Module 1 – Get Data Into Splunk

  • Provide an overview of Splunk
  • Describe the Splunk distributed model
  • Describe data input types and metadata settings
  • Configure initial input testing with Splunk Web
  • Test Indexes with input staging

Module 2 – Configuration Files and Apps

  • Identify Splunk configuration files and directories
  • Describe index-time and search-time precedence
  • Validate and update configuration files
  • Explore Splunk apps and apps installation

Module 3 – Configure Forwarders

  • Configure universal forwarders
  • Configure heavy forwarders

Module 4 – Customize Forwarder

  • Configure intermediate forwarders
  • Identify additional forwarder options

Module 5 - Manage Agents

  • Explain the features and benefits of agent management
  • List the agent management components
  • Configure agents
  • Create deployment apps
  • Deploy apps to agents using server classes created in agent management
  • Monitor forwarder activity using the Monitoring Console
  • Monitor agent management activities

Module 6 – Monitor Inputs

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

Module 7 – Network Inputs

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

Module 8 – Scripted Inputs

  • Create a basic scripted input
  • Describe the process for creating and deploying scripted inputs
  • Identify the potential risks associated with scripted inputs

Module 9 – Agentless Inputs

  • Configure Splunk HTTP Event Collector (HEC)
  • Describe HEC deployment options
  • Explain how HEC indexer acknowledgement works
  • Monitor HEC activity using the MC
  • Examine Splunk Edge Hub
  • Describe Splunk App for Stream

Module 10 – Operating System Inputs

  • Identify Linux-specific inputs
  • Identify Windows-specific inputs

Module 11 – Fine-tune Inputs

  • Understand the default processing that occurs during input phase
  • Configure input phase options

Module 12 – Parse Phase and Data Preview

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

Module 13 – Manipulate Input Data

  • Explore Splunk transformation methods
  • Create rulesets with Ingest Actions
  • Mask data with Ingest Action rules
  • Mask data with SEDCMD and TRANSFORMS
  • Override sourcetype or host base upon event values

Module 14 - Route Input Data

  • Route and filter events using classic TRANSFORMS methods
  • Use TRANSFORMS and forwarding groups to send events from heavy forwards to specific groups of indexers
  • Use Ingest Actions to conditionally route and filter events

Module 15 – Support Knowledge Objects

  • Define default and custom search time field extractions
  • Identify the benefits and drawbacks of indexed time field extractions
  • Configure indexed field extractions
  • Describe default search-time extractions
  • Manage orphaned knowledge objects