Practice Distributed (3.1.1) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Distributed

Practice - Distributed - 3.1.1

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Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is the primary purpose of MapReduce?

💡 Hint: Think about how large tasks are simplified.

Question 2 Easy

List the three phases of MapReduce.

💡 Hint: Recall the acronym MSR.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does MapReduce primarily simplify?

Real-time data processing
Batch processing of large datasets
Data visualization

💡 Hint: Consider what types of data tasks MapReduce focuses on.

Question 2

True or False: Apache Spark can perform operations faster than MapReduce because it uses in-memory computation.

True
False

💡 Hint: Think about where the data is stored during processing.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a MapReduce program for counting unique words in a large dataset using the concepts learned.

💡 Hint: Consider the structure of your input data and how you can efficiently group results.

Challenge 2 Hard

Compare the efficiencies of Spark and MapReduce in handling a streaming data use case.

💡 Hint: Focus on differences in data handling techniques.

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Reference links

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