Which of these URLs could be used to construct a REST request to search the employee KV store collection to find records with a rating greater than…

The correct URL must use the KV Store REST API endpoint and provide a valid, URL-encoded, MongoDB-style query. The query needs to combine two conditions using a logical $and operator: rating is greater than or equal to 2 ($gte: 2) and rating is less than 5 ($lt: 5). Option D correctly constructs this query as a JSON object {"$and":[{"rating":{"$gte":2}},{"rating":{"$lt":5}}]} and properly URL-encodes it for use as a query parameter. The base endpoint and outputmode parameter are also correct.

A. This option is not URL-encoded, which is required for special characters in a URL. It also uses an invalid parameter outputmode-json (with a hyphen instead of an equals sign).

B. The JSON syntax for the query is invalid. The first condition rating:$gte:2 is missing the required curly braces {} around the $gte:2 part, making it un-parsable.

C. The decoded JSON query {"rating":{"$gte":2}},{"$and"},{"rating":{"$lt":5}}} is structurally incorrect. The $and operator must be a key whose value is an array of the conditions to be joined.

1. Splunk REST API Reference Manual: The documentation for the storage/collections/data/{collection} endpoint specifies the use of the query parameter to filter results. It states

"The query parameter must be a URL-encoded

JSON-formatted

MongoDB-style query."

Source: Splunk Enterprise 9.2.1

REST API Reference Manual

"storage/collections/data/{collection}" endpoint documentation

Parameters section.

2. Splunk Developer Guide: This guide provides examples and details on using the KV Store

including the syntax for queries. The query syntax is based on MongoDB

where the logical $and operator takes an array of condition documents. The structure {$and: [ { }

{ } ]} is the correct format.

Source: Splunk Developer Guide

Use the KV Store REST API

"Retrieve records from a collection" section. This section details the query parameter and its MongoDB-style JSON format.