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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data locality optimization?
💡 Hint: Think about how data transfer impacts performance.
Question 2
Easy
Explain the role of the scheduler in data locality optimization.
💡 Hint: Consider the scheduler's goal of improving performance.
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 is the primary goal of data locality optimization?
- To minimize execution time
- To reduce network transfer
- To balance load across nodes
💡 Hint: Think about the impact of where tasks are executed on network load.
Question 2
True or False: Data locality optimization is only relevant when using YARN.
- True
- False
💡 Hint: Consider other scheduling systems and their needs.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
In a distributed data processing scenario, evaluate the potential inefficiencies without data locality optimization in a network-geographically dispersed environment.
💡 Hint: Think of how network load impacts overall task performance.
Question 2
Design a scenario where you would have several data sets located in different nodes. How would you prioritize task scheduling for optimal performance?
💡 Hint: Focus on minimizing data transfer and latency.
Challenge and get performance evaluation