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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the two main phases of MapReduce?
💡 Hint: Think about how data is processed step by step.
Question 2
Easy
What does RDD stand for in Apache Spark?
💡 Hint: What is the term for Spark's core data structure?
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 programming model does MapReduce follow?
- Sequential processing
- Batch processing
- Real-time processing
💡 Hint: Think about how MapReduce handles data over time.
Question 2
True or False: Apache Spark only processes data from HDFS.
- True
- False
💡 Hint: Consider the versatility of Spark's data sources.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design an example application that uses MapReduce for processing e-commerce transaction logs. Describe the steps involved.
💡 Hint: Focus on how you would structure and process the transaction logs.
Question 2
Discuss the trade-offs between using MapReduce and Spark for a machine learning application that requires iterative training.
💡 Hint: Compare their processing speeds and I/O operations.
Challenge and get performance evaluation