Splunk Updated SPLK-1003 Exam Questions and Answers by lennie

A Splunk deployment server is a system that distributes apps, configurations, and other assets to groups of Splunk Enterprise instances. You can use it to distribute updates to most types of Splunk Enterprise components: forwarders, non-clustered indexers, and search heads2.

A Splunk deployment server is available on every full Splunk Enterprise instance. To use it, you must activate it by placing at least one app into %SPLUNK_HOME%\etc\deployment-apps on the host you want to act as deployment server3.

A Splunk deployment server maintains the list of server classes and uses those server classes to determine what content to distribute to each client. A server class is a group of deployment clients that share one or more defined characteristics1.

A Splunk deployment client is a Splunk instance remotely configured by a deployment server. Deployment clients can be universal forwarders, heavy forwarders, indexers, or search heads. Each deployment client belongs to one or more server classes1.

A Splunk deployment app is a set of content (including configuration files) maintained on the deployment server and deployed as a unit to clients of a server class. A deployment app can be an existing Splunk Enterprise app or one developed solely to group some content for deployment purposes1.

Therefore, option C is correct, and the other options are incorrect.

According to the Splunk documentation1, event processing occurs at the parsing phase of the data pipeline. The parsing phase is where Splunk software processes incoming data into individual events, extracts timestamp information, assigns source types, and performs other tasks to make the data searchable1. The parsing phase can also apply field extractions, event type matching, and other transformations to the events2.

The Splunk indexing process consists of three main phases: Input, Parsing, and Indexing. Understanding these phases is crucial for configuring data inputs and managing data flow within Splunk.

Input Phase: Splunk receives data from various sources, such as files, network ports, or scripted inputs.

Parsing Phase: Splunk breaks the data into individual events, applies transformations, and extracts timestamps.

Indexing Phase: Splunk writes the parsed events to disk and creates indexes for efficient searching.

From the official Splunk documentation:

" The data pipeline consists of three main phases: input, parsing, and indexing. "

— How the Splunk platform indexes data - Splunk Documentation

Therefore, the correct order of the indexing process is: Input phase → Parsing phase → Indexing phase.