This note is devoted to discussing multivariate approximation of continuous functions on
[0,1]d with analytic Korobov kernels in the worst and average case settings. We only consider algorithms that use finitely many evaluations of arbitrary continuous linear functionals. We study EC-
(s,t)-weak tractability under the absolute or normalized error criterion, and obtain necessary and sufficient conditions for
0<min(s,t)<1 and
max(s,t)≤1 in the worst case setting and for
s,t>0 in the average case setting.