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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does MapReduce help to count?
💡 Hint: Think of the applications of big data.
Question 2
Easy
What is one advantage of using Spark over MapReduce?
💡 Hint: Consider how data is handled.
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 utilize?
- Single-threaded
- Batch processing
- Real-time processing
💡 Hint: Think about how MapReduce handles big data.
Question 2
Is Apache Spark only limited to processing static datasets?
- True
- False
💡 Hint: Consider the capabilities of data processing frameworks.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Compare and contrast the use cases for MapReduce versus Spark in a big data environment where both batch and iterative processes are essential.
💡 Hint: Think about scenarios where continuous data processing is needed.
Question 2
Design a simple architecture using Kafka for an e-commerce platform to handle real-time inventory updates as transactions occur.
💡 Hint: Consider how different services can benefit from receiving real-time updates.
Challenge and get performance evaluation