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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is a Bloom filter?
π‘ Hint: Think about efficiency in checking membership.
Question 2
Easy
true or false - Bloom filters can have false negatives.
π‘ Hint: Consider the guarantees provided by Bloom filters.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is the purpose of Bloom filters in HBase?
π‘ Hint: Think about what Bloom filters are designed to do.
Question 2
True or False: Bloom filters can ensure no false positives.
π‘ Hint: Consider their characteristics.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
If you had to design an extension to HBase that involved a different probabilistic data structure, what would it be like and how would it compare to Bloom filters?
π‘ Hint: Think about querying and additional capabilities.
Question 2
Critically evaluate the potential drawbacks of relying heavily on Bloom filters for large-scale data operations.
π‘ Hint: Consider the balance of efficiency and accuracy.
Challenge and get performance evaluation