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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is lazy evaluation in Spark?
💡 Hint: Think about when Spark decides to perform calculations.
Question 2
Easy
Give an example of a narrow transformation.
💡 Hint: How does map work with RDDs?
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 does lazy execution in Spark allow?
- Immediate execution of transformations
- Building an execution plan before computation
- Only executing narrow transformations
💡 Hint: Think about when Spark actually runs the code.
Question 2
True or False: Narrow transformations require shuffling data across the network.
- True
- False
💡 Hint: Consider what happens to data with narrow transformations.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a dataset with millions of records. Describe the potential impact on performance if multiple wide transformations are used successively.
💡 Hint: Think about the cost of data transfers.
Question 2
Given a sample RDD containing sales data, outline a sequence of transformations that include both narrow and wide transformations while optimizing for performance.
💡 Hint: Always filter before you apply wide transformations.
Challenge and get performance evaluation