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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What does the Map phase in MapReduce do?
💡 Hint: Think about how data is split and transformed.
Question 2
Easy
What is an RDD?
💡 Hint: Consider what RDDs provide in terms of failure resilience.
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 MapReduce primarily deal with?
- Real-time data
- Batch data
- Streaming data
💡 Hint: Consider the nature of the processing being done.
Question 2
Apache Spark improves over MapReduce by using:
- In-memory processing
- Disk-based processing
💡 Hint: Think about the efficiency of data retrieval.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a MapReduce job for analyzing sales records. Outline the mapping and reducing logic.
💡 Hint: Think about how you can structure your keys and values effectively.
Question 2
How would you implement a data pipeline using Kafka to stream event logs from a web application to a storage solution?
💡 Hint: Consider the flow of data from producers to consumers.
Challenge and get performance evaluation