Splunk SPLK-1005 Practice Test - Questions Answers, Page 2

When creating a deployment app in Splunk, certain files and folders are considered essential to ensure proper configuration and operation:

app.conf (in default or local): This is required as it defines the app's metadata and behaviors.

local.meta: This file is important for defining access permissions for the app and is often included.

metadata folder: The metadata folder contains files like local.meta and default.meta and is typically required for defining permissions and other metadata-related settings.

props.conf: While props.conf is essential for many Splunk apps, it is not mandatory unless you need to define specific data parsing or transformation rules.

D . props.conf is the correct answer because, although it is commonly used, it is not a mandatory part of every deployment app. An app may not need data parsing configurations, and thus, props.conf might not be present in some apps.

Splunk Documentation

Reference:

Building Splunk Apps

Deployment Apps

This confirms that props.conf is not a required part of a deployment app, making it the correct answer.

The props.conf file is a crucial configuration file in Splunk that is used for both search-time and index-time configurations.

At index-time, props.conf is used to define how data should be parsed and indexed, such as timestamp recognition, line breaking, and data transformations.

At search-time, props.conf is used to configure how data should be searched and interpreted, such as field extractions, lookups, and sourcetypes.

B . props.conf is the correct answer because it is the only file listed that serves both index-time and search-time purposes.

Splunk Documentation

Reference:

props.conf - configuration for search-time and index-time

To view the runtime configuration instructions for a monitored file in inputs.conf on the forwarder, the correct command to use involves accessing the internal REST API that provides details on data inputs.

C . ./splunk _internal rest /services/data/inputs/monitor is the correct answer. This command uses Splunk's internal REST endpoint to retrieve information about monitored files, including their runtime configurations as defined in inputs.conf.

Splunk Documentation

Reference:

Splunk REST API - Data Inputs

The acceptFrom parameter is used in Splunk to specify which IP addresses or DNS names are allowed to send data to a Splunk instance. The supported formats include IPv4, IPv6, CIDR notation, and DNS names.

B . IPv4, IPv6, CIDRs, DNS names is the correct answer. These are the valid formats that can be used with the acceptFrom argument. Wildcards are not supported in acceptFrom parameters for security reasons, as they would allow overly broad access.

Splunk Documentation

Reference:

acceptFrom Parameter Usage

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.

When monitoring directories containing mixed file types, the sourcetype should typically be overridden in props.conf rather than defined in inputs.conf. This is because sourcetype is meant to classify the type of data being ingested, and when dealing with mixed file types, setting a single sourcetype in inputs.conf would not be effective for accurate data classification. Instead, you can use props.conf to define rules that apply different sourcetypes based on the file path, file name patterns, or other criteria. This allows for more granular and accurate assignment of sourcetypes, ensuring the data is properly parsed and indexed according to its type.

Splunk Cloud

Reference: For further clarification, refer to Splunk's official documentation on configuring inputs and props, especially the sections discussing monitoring directories and configuring sourcetypes.

Source:

Splunk Docs: Monitor files and directories

Splunk Docs: Configure event line breaking and input settings with props.conf

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 Splunk Cloud, only apps that have been certified and vetted by Splunk are supported. This is because Splunk Cloud is a managed service, and Splunk ensures that all apps meet specific security, performance, and compatibility requirements before they can be installed. This certification process guarantees that the apps won't negatively impact the overall environment, ensuring a stable and secure cloud service.

Self-service installation is available, but it is limited to apps that are certified for Splunk Cloud. Non-certified apps cannot be installed directly; they require a review and approval process by Splunk support.

Splunk Cloud

Reference: Refer to Splunk's documentation on app installation and the list of Cloud-vetted apps available on Splunkbase to understand which apps can be installed in Splunk Cloud.

Source:

Splunk Docs: About apps in Splunk Cloud

Splunkbase: Splunk Cloud Apps

Universal Forwarders can connect directly to Splunk Cloud, and there is no limit on the number of Universal Forwarders that may connect directly to it. This capability allows organizations to scale their data ingestion easily by deploying as many Universal Forwarders as needed without the requirement for intermediate forwarders unless additional data processing, filtering, or load balancing is required.

Splunk Documentation

Reference: Forwarding Data to Splunk Cloud