SPLK-1005 Exam Dumps - Splunk Certification Questions and Answers

Configuring a Universal Forwarder (UF) as an Intermediate Forwarder involves making changes to its configuration to allow it to receive data from other forwarders before sending it to indexers.

D. It is only possible to make this change directly in configuration files or via a deployment app: This is the correct answer. Configuring a Universal Forwarder as an Intermediate Forwarder is done by editing the configuration files directly (like outputs.conf), or by deploying a pre-configured app via a deployment server. The Splunk Web UI (Management Console) does not provide an interface for configuring a Universal Forwarder as an Intermediate Forwarder.

A. This can only be turned on using the Settings > Forwarding and Receiving menu in Splunk Web/UI: Incorrect, as this applies to Heavy Forwarders, not Universal Forwarders.

B. The configuration changes can be made using Splunk Web, CLI, directly in configuration files, or via a deployment app: Incorrect, the Splunk Web UI is not used for configuring Universal Forwarders.

C. The configuration changes can be made using CLI, directly in configuration files, or via a deployment app: While CLI could be used for certain configurations, the specific Intermediate Forwarder setup is typically done via configuration files or deployment apps.

Splunk Documentation References:

Universal Forwarder Configuration

Intermediate Forwarder Configuration

By default, the sc_admin role in Splunk Cloud is granted several important capabilities, including:

indexes_edit: The ability to create, edit, and manage indexes.

fsh_manage: Manage full-stack monitoring integrations.

admin_all_objects: Full administrative control over all objects in Splunk.

can_delete: The ability to delete events using the delete command.

Option C correctly lists these default capabilities for the sc_admin role.

Splunk Documentation Reference: User roles and capabilities

In a managed Splunk Cloud environment, HTTP Event Collector (HEC) tokens are configured by an administrator through the Splunk Web interface. When setting up a new HEC input, a unique token is automatically generated. This token is then provided to application developers, who will use it to authenticate and send data to Splunk via the HEC endpoint.

This token ensures that the data is correctly ingested and associated with the appropriate inputs and indexes. Unlike the other options, which either involve external tokens or support cases, option B reflects the standard procedure for configuring HEC tokens in Splunk Cloud, where control over tokens remains within the Splunk environment itself.

Splunk Cloud Reference: Splunk's documentation on HEC inputs provides detailed steps on creating and managing tokens within Splunk Cloud. This includes the process of generating tokens, configuring data inputs, and distributing these tokens to application developers.

Source:

Splunk Docs: HTTP Event Collector in Splunk Cloud Platform

Splunk Docs: Create and manage HEC tokens

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

The valid method for creating index-time field extractions is to create a configuration app that includes the necessary props.conf and/or transforms.conf configurations. This app can then be uploaded via the UI. Index-time field extractions must be defined in these configuration files to ensure that fields are extracted correctly during indexing.

Splunk Documentation Reference: Index-time field extractions

A Universal Forwarder (UF) can indeed be configured as an Intermediate Forwarder. This means that the UF can receive data from other forwarders and then forward that data on to indexers or Splunk Cloud, effectively acting as a relay point in the data forwarding chain.

Option A is incorrect because a Universal Forwarder does not need to contact the license master; only indexers and search heads require this.

Option B is incorrect as Universal Forwarders can connect directly to Splunk Cloud or via other forwarders.

Option D is also incorrect because the default output bandwidth limit for a UF is typically much higher than 500KBps (default is 256KBps per pipeline, but can be configured).

Splunk Documentation Reference: Universal Forwarder

The best approach to meet the requirements of the marketing department is to create a new role that inherits the user role but with restricted access to only the marketing_data index. This setup allows users to perform searches and view dashboards while ensuring they cannot access other indexes such as those containing security or operations data.

Splunk Documentation Reference: Splunk Role-based Access Control

For input apps that are not permitted on Splunk Cloud, the recommended place to deploy them is on a Universal Forwarder or Heavy Forwarder. These forwarders handle data collection and preprocessing before sending the data to Splunk Cloud. This setup allows organizations to leverage apps and configurations that are not supported directly in the cloud environment.

Splunk Documentation Reference: Forwarding Data to Splunk Cloud

In Splunk, an index is a data repository that stores both raw data and associated indexing information. Specifically, the raw data is stored in a compressed format, and the indexing information is stored in tsidx files (time series index files). These tsidx files enable fast searching and retrieval of data based on time. The correct terminology and structure make option B accurate.

Splunk Documentation Reference: Splunk Indexes