Podcast
Questions and Answers
What ensures the availability of data in the MapReduce framework?
What ensures the availability of data in the MapReduce framework?
- Storing data on a single, highly reliable node
- Compressing data to reduce storage requirements
- Replicating data across multiple nodes (correct)
- Encrypting data for secure transmission
Which statement about MapReduce is true?
Which statement about MapReduce is true?
- It is designed for real-time processing of small datasets
- It supports shared mutable state across all nodes
- It has multiple opportunities for global synchronization
- It is less effective for tasks that do not require global coordination (correct)
When is it faster to process data serially on a single processor instead of using MapReduce?
When is it faster to process data serially on a single processor instead of using MapReduce?
- When dealing with large, distributed datasets
- When processing a small dataset or individual records (correct)
- When performing batch processing tasks
- When real-time processing is required
What is a potential disadvantage of using the MapReduce framework?
What is a potential disadvantage of using the MapReduce framework?
What is a key advantage of the MapReduce framework?
What is a key advantage of the MapReduce framework?
When does global synchronization occur in the MapReduce framework?
When does global synchronization occur in the MapReduce framework?
What is the key purpose of the 'Shuffle or Sort' phase in MapReduce?
What is the key purpose of the 'Shuffle or Sort' phase in MapReduce?
What is the primary reason for splitting the input data into shards?
What is the primary reason for splitting the input data into shards?
In the context of MapReduce, what is the primary responsibility of the master process?
In the context of MapReduce, what is the primary responsibility of the master process?
In the Word Count example using MapReduce, what is the primary function of the map phase?
In the Word Count example using MapReduce, what is the primary function of the map phase?
What is the primary function of the reduce phase in MapReduce?
What is the primary function of the reduce phase in MapReduce?
In the MapReduce architecture, what is the role of a worker process?
In the MapReduce architecture, what is the role of a worker process?
What is the primary function of the Map task in MapReduce?
What is the primary function of the Map task in MapReduce?
How does the partitioning function in the Map task work?
How does the partitioning function in the Map task work?
What happens after all the Map workers have completed their tasks?
What happens after all the Map workers have completed their tasks?
What is the first step a Reduce worker performs after being notified by the master?
What is the first step a Reduce worker performs after being notified by the master?
Why is sorting the key-value pairs necessary in the Reduce phase?
Why is sorting the key-value pairs necessary in the Reduce phase?
In the context of the Word Count example, what would be the key-value pairs generated by the Map task?
In the context of the Word Count example, what would be the key-value pairs generated by the Map task?
