We study the probabilistic behaviour of solutions of random instances of the Boolean Satisfiability (SAT) and Constraint Satisfaction Problems (CSPs) that generalize the standard notion of a satisfying assignment. Our analysis focuses on a special type of generalized solutions, the (1,0)-super solutions. For random instances of k-SAT, we establish the exact threshold of the phase transition of the solution probability for k ≤ 3, and give upper and lower bounds on the threshold of the phase transition for the case of k ≥ 4. For CSPs, we derive an upper bound on the threshold of having a (1,0)-super solution asymptotically with probability 1, and establish a condition for the expected number of super solutions to grow exponentially.