Splunk Certification SPLK-1005 Updated Exam

A private app in Splunk is one that is created and used within a specific organization, and is not publicly available in the Splunkbase app store.

C. An app that is created and used only by a specific organization is the correct answer. This type of app is developed internally and used by a particular organization, often tailored to meet specific internal needs. It is not shared with other organizations and remains private within that organization’s Splunk environment.

Splunk Documentation References:

Private Apps in Splunk

In Splunk, SEDCMD (Stream Editing Commands) is applied during the Typing Pipeline of the data indexing process. The Typing Pipeline is responsible for various tasks, such as applying regular expressions for field extractions, replacements, and data transformation operations that occur after the initial parsing and aggregation steps.

Here’s how the indexing process works in more detail:

Parsing Pipeline: In this stage, Splunk breaks incoming data into events, identifies timestamps, and assigns metadata.

Merging Pipeline: This stage is responsible for merging events and handling time-based operations.

Typing Pipeline: The Typing Pipeline is where SEDCMD operations occur. It applies regular expressions and replacements, which is essential for modifying raw data before indexing. This pipeline is also responsible for field extraction and other similar operations.

Index Pipeline: Finally, the processed data is indexed and stored, where it becomes available for searching.

Splunk Cloud Reference: To verify this information, you can refer to the official Splunk documentation on the data pipeline and indexing process, specifically focusing on the stages of the indexing pipeline and the roles they play. Splunk Docs often discuss the exact sequence of operations within the pipeline, highlighting when and where commands like SEDCMD are applied during data processing.

Source:

Splunk Docs: Managing Indexers and Clusters of Indexers

Splunk Answers: Community discussions and expert responses frequently clarify where specific operations occur within the pipeline.

In a Splunk Cloud environment, the Data Preview feature is used to create and test new sourcetypes. This feature allows you to upload sample data, configure parsing settings, and define sourcetypes interactively without directly editing configuration files like props.conf or using the CLI.

Splunk Documentation Reference: Data Preview

When integrating LDAP authentication with Splunk, new user data is cached the first time a user logs in. This means that Splunk does not store LDAP usernames and passwords; instead, it relies on the LDAP server for authentication. The mapping of LDAP groups to Splunk roles must be configured manually; it does not happen automatically. Additionally, Splunk Cloud supports various LDAP servers, not just Active Directory.

Splunk Documentation Reference: LDAP Authentication