Cluster Sampling is a sampling method where the population (or sampling frame) is divided into sub-populations called clusters, generally according to geographical differences or naturally occurring divisions. Instead of sampling individuals, entire subgroups are randomly selected.
Stratified Sampling is a sampling method where the population (or sampling frame) is divided into sub-populations or strata, according to some common characteristic. A simple random sample is selected from each strata for sampling.
An application-oriented question on the topic along with responses can be seen below. The best answer was provided by Glory Gerald on 27th Nov 2020.
Applause for all the respondents - Glory Gerald, Tina Misra