Practice Core Idea (2.4.1) - Cloud Applications: MapReduce, Spark, and Apache Kafka
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Core Idea

Practice - Core Idea

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Practice Questions

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Question 1 Easy

What is the primary purpose of MapReduce?

💡 Hint: Think about how data is managed on multiple servers.

Question 2 Easy

Name one application of Apache Spark.

💡 Hint: Consider computational models.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the primary function of MapReduce?

Process real-time data
Handle large-scale batch processing
Focus on data visualization

💡 Hint: Consider the types of tasks it is best suited for.

Question 2

True or False: Apache Spark requires data to be read from disk for every computation.

True
False

💡 Hint: Think about how Spark manages data during tasks.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Design a system that combines MapReduce, Spark, and Kafka for processing real-time stream data. Describe how these components would interact.

💡 Hint: Think about the strengths of each technology.

Challenge 2 Hard

Analyze a scenario where MapReduce might fail to meet project requirements, and propose how Spark could solve those shortcomings.

💡 Hint: Look at the features that enhance performance in iterative scenarios.

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