Question: When to Use Bloom Filter vs. Map

[tedmax100]

I have a question regarding the use of Bloom filters versus Maps for checking if an element is part of a dataset.

If the primary goal is simply to determine whether an element exists in a dataset, it seems that a Map would suffice. However, I am curious about the advantages of using a Bloom filter in this context.

1. What are the specific advantages of a Bloom filter that a Map cannot provide?
2. In what scenarios would one prefer a Bloom filter over a Map, especially when it comes to membership testing?
3. How should one choose between using a Bloom filter and a Map for this purpose?

I appreciate any insights or guidance you can provide!

Thank you!