What Is the Main Difference Between the T Test and the ANOVA

What is the main difference between the t test and the ANOVA test?

A) The t test is for interval-ratio-dependent variables; ANOVA accommodates dependent variables from all types of measurements.
B) The t test assumes equal population variances across categories; ANOVA makes no such assumption.
C) The t test is for comparing means across two categories; ANOVA accommodates three or more categories.
D) The t test distinguishes between the independent and the dependent variable; ANOVA makes no such distinction.