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We need to find the strata and the reason for SRS being a better option

A basic random sample requires us to choose $120$people from a group of over $1200$people.

A stratified random sample will necessitate taking smaller samples from distinct subgroups, allowing us to account for a new variable (on which the different subgroups are based).

If the strata are the types of rooms, a stratified random sample is better since it allows us to take into consideration the viewpoint based on the type of room.

Our stratified random sample would then include $60$rooms with views of the water and $60$rooms with views of the golf course, with rooms chosen at random from all rooms of that type.

We need to find the cluster of the sample

Cluster sampling separates the population into non-overlapping subgroups, which are subsequently included in the sample.

A cluster sample may be easier to administer than a random sample since, if the subgroups are the floors, we only need to select a few floors rather than the entire hotel (which will make it easier to collect the data).

Because we require $120$rooms and each floor has $40$rooms, we'd have to pick three of the $30$floors at random, and all of the rooms on those three floors would be included in the sample.