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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does RDD stand for?
💡 Hint: Think about the key attributes of distributed computing.
Question 2
Easy
Are transformations in RDDs executed immediately?
💡 Hint: Consider how RDD handles the pipeline of operations.
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 RDD stand for?
- Resilient Data Distribution
- Resilient Distributed Dataset
- Reduced Data Dataset
💡 Hint: Focus on the core characteristics of Spark's data model.
Question 2
True or False: RDDs allow for modification of their elements after creation.
- True
- False
💡 Hint: Think about how data consistency is maintained in distributed frameworks.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a simple workflow using RDDs to compute the average temperature from a large dataset of daily temperature readings.
💡 Hint: Think about how to partition and aggregate to compute averages.
Question 2
What are the performance implications of using wide transformations versus narrow transformations in Spark?
💡 Hint: Consider how data movement impacts overall execution time.
Challenge and get performance evaluation