In this section, we outline best practices for choosing a feasibility-aware acquisition function for a new optimization problem. The constrained fraction of the optimization domain appears to greatly influence the optimal choice. Unfortunately, this value is a priori unknown for a new problem, and can only be estimated using historical measurement data, instrument limitation information, or expert knowledge. When beginning a new SDL application, we encourage researchers to bootstrap an estimate of the constrained fraction to inform their selection of a feasibility-aware acquisition function.