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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What are the two primary phases of MapReduce?
💡 Hint: Think about how MapReduce processes data.
Question 2
Easy
What does RDD stand for in Spark?
💡 Hint: Focus on the main data structure used by Spark.
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 are the two main phases of MapReduce?
- Map and Reduce
- Shuffle and Sort
- Input and Output
💡 Hint: Think about the structure of the processing workflow.
Question 2
True or False: Kafka allows consumers to re-read messages even after they have been consumed.
- True
- False
💡 Hint: Consider the characteristics of message storage.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
You have a large dataset of sales transactions. How would you implement a MapReduce job to calculate total sales for each product?
💡 Hint: Focus on the flow of data from mapping to reducing.
Question 2
Using Spark, explain how you would optimize a job initially written for MapReduce that relies heavily on disk reads.
💡 Hint: Think about how in-memory processing affects efficiency.
Challenge and get performance evaluation