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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does MapReduce primarily allow for in distributed systems?
💡 Hint: Think about the two main phases.
Question 2
Easy
Define what Kafka is used for.
💡 Hint: Consider its role in message consumption.
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 purpose of MapReduce?
- Real-time data processing
- Batch processing of large datasets
- Data visualization
💡 Hint: Consider the nature of the processing.
Question 2
True or False: Spark performs all data processing on disk.
- True
- False
💡 Hint: Think about how data storage differs in Spark.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a system using MapReduce to analyze user logs from a web server. Describe each phase and how you would structure your Mapper and Reducer.
💡 Hint: Break it down by processing phases.
Question 2
How would you set up a Kafka cluster for a financial application that requires real-time transaction monitoring? Discuss strategies for partitioning and replication.
💡 Hint: Focus on scalability and reliability.
Challenge and get performance evaluation