Explanation
When output_mode is not used, the title element of a feed is a human readable name for a returned entry. The title element contains the name of the object, such as the name of a saved search or a dashboard. The other elements are not human readable names, but rather identifiers, links, or authors of the entry. For more information, see Access Splunk data using feeds.

Explanation
The correct answer is A, B, and D because these are the examples of a Splunk KV store use case. A Splunk KV store is a service that allows you to store and manage custom data in Splunk, using key-value pairs. A Splunk KV store can be used for various purposes, such as storing checkpoint data, tracking workflow, and storing application state. Option A is correct because a Splunk KV store can store checkpoint data for modular inputs, which are custom data inputs that use external scripts or binaries to collect and send data to Splunk.
Checkpoint data is used to keep track of the data collection progress and resume from the last point in case of interruption. Option B is correct because a Splunk KV store can track workflow in an incident-review system, which is a system that allows you to review and manage the incidents that occur in your environment.
Workflow data is used to store the status, priority, and assignee of each incident. Option D is correct because a Splunk KV store can store application state as a user interacts with an app, which is a custom interface that allows you to access and analyze the data in Splunk. Application state data is used to store the user preferences, settings, and selections for the app. Option C is incorrect because a Splunk KV store cannot index metrics data from remote HTTP sources, which are sources that send numerical data to Splunk via HTTP or HTTPS. Metrics data is not stored in the Splunk KV store, but rather in the metrics index, which is a special type of index that optimizes the storage and retrieval of metrics data. You can find more information about the Splunk KV store and its use cases in the Splunk Developer Guide.

Explanation
The correct answer is A, B, and D because these are the criteria that the search must meet in order to successfully accelerate a report. A report is a saved search that runs on a schedule and returns results in a table or a chart. A report can be accelerated to improve its performance and reduce the load on the Splunk indexers.
Option A is correct because the search cannot use event sampling, which is a technique that reduces the number of events returned by the search. Event sampling can affect the accuracy and consistency of the report results. Option B is correct because the search must use a transforming command, which is a command that converts the results into a data table with rows and columns. Transforming commands are required for report acceleration, as they enable the creation of summary data. Option D is correct because the commands before the first transforming command must be streamable, which means they can process each event as it is returned by the search. Streamable commands are preferred for report acceleration, as they reduce the memory usage and improve the performance of the search. Option C is incorrect because the search does not need to use a standard Splunk visualization, which is a type of chart or graph that displays the results. The search can use any visualization that is compatible with the report acceleration. You can find more information about report acceleration and the criteria for the search in the Splunk Developer Guide.

Explanation
The requirements for arguments sent to the data/indexes endpoint are to specify the datatype and include the name argument. The datatype argument specifies the type of data that is being indexed, such as event, metric, or http. The name argument specifies the name of the index that is being created or updated. The other arguments are either optional or invalid. For more information, see Create an index.