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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 terms we discussed regarding Spark.
Question 2
Easy
What is one major advantage of using Apache Spark over MapReduce?
💡 Hint: Consider how intermediate data is handled.
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 Apache Spark primarily used for?
- Data storage
- Data processing
- Data visualization
💡 Hint: Recall the core function of Spark.
Question 2
True or False: RDDs allow for fault-tolerant data processing.
- True
- False
💡 Hint: Think about how Spark handles party failures.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Propose a scalable solution using Apache Spark to analyze a large dataset of user interactions on an e-commerce website. Outline the architecture and components.
💡 Hint: Think about the types of data you would need to process and how to structure that processing.
Question 2
Critically evaluate the scenarios where Apache Spark may not be the best solution. Identify at least two such situations.
💡 Hint: Consider the limitations related to memory management and computational overhead.
Challenge and get performance evaluation