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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the three main phases of MapReduce?
π‘ Hint: Think about the key steps involved in processing data.
Question 2
Easy
What does RDD stand for in Apache Spark?
π‘ Hint: Focus on the fault tolerance characteristic of datasets.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What are the main phases of the MapReduce process?
π‘ Hint: Recall the steps we discussed in class.
Question 2
True or False: Apache Spark processes data exclusively on disk.
π‘ Hint: Think about the difference between Spark and traditional data processing methods.
Solve 2 more questions and get performance evaluation
Push your limits with challenges.
Question 1
Design a Kafka-based application scenario to collect clickstream data from a web application. Describe the components involved.
π‘ Hint: Consider the roles of producers and consumers in your design.
Question 2
Implement an RDD processing pipeline in Spark that reads a large dataset and performs the following operations: filter, map, and reduce. Detail each step.
π‘ Hint: Think about how each operation alters the RDD at each step.
Challenge and get performance evaluation