Concept:
The word "Deterministic" in DFA is the key. It means that for any given state and input, the next state is uniquely determined.
• Determinism: No ambiguity and no choices.
• Completeness: Every possible input must have a defined path.
Step 1: Defining the transition function $\delta$.
Mathematically, for a DFA, $\delta: Q \times \Sigma \rightarrow Q$.
This means for every state in $Q$ and every alphabet in $\Sigma$, there is exactly one result.
Step 2: Contrast with NFA.
An NFA can have zero, one, or many transitions for a symbol.
An NFA can also have $\epsilon$-transitions (moving without input).
A DFA strictly forbids both of these.
Step 3: Evaluating the options.
Option (C) is the formal definition of determinism and completeness.
Options (A), (B), and (D) describe properties that belong to NFA or more complex machines.