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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does RDD stand for, and what is its primary purpose in Spark?
💡 Hint: Think about what RDD helps maintain in the face of failures.
Question 2
Easy
Name one library in Spark that allows working with structured data.
💡 Hint: Remember the SQL concept related to databases.
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?
- A) Random Data Distribution
- B) Resilient Distributed Dataset
- C) Rapid Data Deployment
💡 Hint: Focus on resilience and distribution concepts.
Question 2
True or False: Spark Streaming processes data in real-time using a micro-batching approach.
- True
- False
💡 Hint: Consider how streaming versus traditional processing works.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a small Spark application that uses at least two libraries (e.g., Spark SQL and MLlib) to process data and derive insights.
💡 Hint: Think about how you would extract insights from a dataset while leveraging SQL queries to transform data and machine learning models to predict outcomes.
Question 2
In a scenario where data may not fit into memory, explain how you would manage RDDs to optimize performance.
💡 Hint: Consider Spark's flexibility in handling large datasets and how to balance memory usage and computational efficiency.
Challenge and get performance evaluation