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Practice Questions
Test your understanding with targeted questions related to the topic.
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.
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 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.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation