1. A computer-implemented method for confidence-based computing resource allocation in a networked computing environment, comprising: receiving a deep question and answer (DeepQA) natural language query from a querying user into a computer storage medium; performing a search of one or more databases based on the query to identify a response to the query; determining a confidence level associated with the response based on at least one of the following: a speed with which the response is identified, an amount of computing resources utilized to identify the response, a quantity of the one or more databases accessed to identify the response, or historical data associated with previous queries submitted by the querying user; comparing the confidence level to a predetermined threshold; responsive to the confidence level not meeting the predetermined threshold, allocating an additional amount of computing resources to the search; and sending the response to the querying user when the confidence level meets the predetermined threshold.