Practice Reduce Phase (1.1.3) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Reduce Phase

Practice - Reduce Phase

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What does the Reduce phase do in MapReduce?

💡 Hint: Think about how the results from the first step are combined.

Question 2 Easy

What is the output format of a reducer?

💡 Hint: Consider how you would represent summarized information.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of the Reduce phase in MapReduce?

Summarization
Input processing
Data partitioning

💡 Hint: Consider what happens to data after it's been processed by the Map phase.

Question 2

True or False: The output of the Reduce phase can be directly written back to HDFS.

True
False

💡 Hint: Think about where you would store the results after processing.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

You have an incomplete dataset in the Reduce phase due to some mappers failing. Explain how you would handle this situation to ensure you still get accurate results.

💡 Hint: Remember how MapReduce handles failures.

Challenge 2 Hard

Design a Reduce function for a scenario where you need to determine the median value from a sorted list of numbers for each key, not just the sum.

💡 Hint: Consider how to approach different statistical measures in your reducer functions.

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Reference links

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