Practice - Spark Applications: A Unified Ecosystem for Diverse Workloads
Practice Questions
Test your understanding with targeted questions
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.
Name one library in Spark that allows working with structured data.
💡 Hint: Remember the SQL concept related to databases.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What does RDD stand for?
💡 Hint: Focus on resilience and distribution concepts.
True or False: Spark Streaming processes data in real-time using a micro-batching approach.
💡 Hint: Consider how streaming versus traditional processing works.
1 more question available
Challenge Problems
Push your limits with advanced challenges
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.
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.
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Reference links
Supplementary resources to enhance your learning experience.