Practice Partitioning (1.1.2.2) - Cloud Applications: MapReduce, Spark, and Apache Kafka
Students

Academic Programs

AI-powered learning for grades 8-12, aligned with major curricula

Professional

Professional Courses

Industry-relevant training in Business, Technology, and Design

Games

Interactive Games

Fun games to boost memory, math, typing, and English skills

Partitioning

Practice - Partitioning

Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the purpose of partitioning in MapReduce?

💡 Hint: Think about data distribution.

Question 2 Easy

What function is commonly used for partitioning data?

💡 Hint: This function helps in deciding where to send data.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is partitioning in the MapReduce framework?

Storage of final output
Division of intermediate data among Reducers
An external function for data shaping

💡 Hint: Think about how data is managed.

Question 2

True or False: A hash function is used to distribute intermediate keys evenly among Reducers.

True
False

💡 Hint: Recall the role of partitioning functions.

Get performance evaluation

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a map and reduce function for counting word frequencies in an unstructured document. Discuss how you would implement effective partitioning.

💡 Hint: Consider how each word’s hash value determines its destination.

Challenge 2 Hard

Critically assess how overloading a Reducer can impact the entire MapReduce workflow and propose solutions.

💡 Hint: Reflect on the downstream effects in your assessments.

Get performance evaluation

Reference links

Supplementary resources to enhance your learning experience.