Practice - Datasets
Practice Questions
Test your understanding with targeted questions
What is MapReduce used for?
💡 Hint: Think about the big data context.
What does RDD stand for?
💡 Hint: What does the term 'RDD' represent in Spark?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What is a key characteristic of MapReduce?
💡 Hint: Think about the type of tasks it is meant to handle.
True or False: Apache Spark can only handle batch processing.
💡 Hint: Consider Spark's flexibility in handling data.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a scenario where you have a massive log file. Design a MapReduce job that would count the unique IP addresses visiting a website. Mention each phase and how you would implement the Mapper and Reducer.
💡 Hint: Think about how the data is structured in the log file.
In a data processing application, you are tasked with analyzing customer purchase patterns from large datasets. Discuss how you would use Spark's RDDs to manage this, and why it would be advantageous over using MapReduce.
💡 Hint: Consider the advantages of processing speed and data retrieval.
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Reference links
Supplementary resources to enhance your learning experience.