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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 features Spark provides.
Question 2
Easy
What is one advantage of Spark over MapReduce?
💡 Hint: Consider how data is handled differently.
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 Spark primarily used for?
- Real-time processing
- Batch processing
- Machine Learning
- All of the above
💡 Hint: Consider the versatility of Spark in data analytics.
Question 2
True or False: RDDs can be modified after creation.
- True
- False
💡 Hint: Think about how RDDs maintain integrity.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Consider a scenario where a Spark application processes IoT sensor data in real time. How would you design its RDD transformations and actions to optimize performance?
💡 Hint: Think about how you can utilize transformations to filter data before invoking actions.
Question 2
Imagine you need to retrain a machine learning model using historical data. How would you leverage Spark's capabilities with RDDs for such a task?
💡 Hint: Consider how transformations could be employed in pre-processing data for your model training.
Challenge and get performance evaluation