Practice Bloom Filter (in HBase) - 2.8 | Week 6: Cloud Storage: Key-value Stores/NoSQL | Distributed and Cloud Systems Micro Specialization
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What is a Bloom filter?

πŸ’‘ Hint: Think about efficiency in checking membership.

Question 2

Easy

true or false - Bloom filters can have false negatives.

πŸ’‘ Hint: Consider the guarantees provided by Bloom filters.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

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?

  • To speed up disk reads
  • To reduce CPU usage
  • To increase RAM efficiency

πŸ’‘ Hint: Think about what Bloom filters are designed to do.

Question 2

True or False: Bloom filters can ensure no false positives.

  • True
  • False

πŸ’‘ Hint: Consider their characteristics.

Solve 1 more question and get performance evaluation

Challenge Problems

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?

πŸ’‘ 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.

πŸ’‘ Hint: Consider the balance of efficiency and accuracy.

Challenge and get performance evaluation