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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 the steps involved in processing data.
Question 2
Easy
What does Kafka primarily do?
💡 Hint: Consider the role of Kafka in data processing.
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 is the main function of MapReduce?
- Data storage
- Data processing
- Data visualization
💡 Hint: Think about what MapReduce is primarily used for.
Question 2
True or False: Spark processes data in a disk-based manner like MapReduce.
- True
- False
💡 Hint: Remember how Spark improves upon traditional methods.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a simple MapReduce job for analyzing tweet sentiment over a dataset of tweets. Include considerations for the mapping and reducing functions.
💡 Hint: Think about how sentiment analysis can be structured in key-value pairs.
Question 2
Explain how Kafka handles message reprocessing and eventual consistency in a distributed environment.
💡 Hint: Consider what happens in the event of consumer failures.
Challenge and get performance evaluation