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HDFS and MapReduce Quiz

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Questions and Answers

What is the purpose of the Shuffle/Sort task in the Reducer phase?

To partition the key-value pairs for parallel processing

To sort and merge the output pairs before sending them to the reduce tasks (correct)

To perform the final aggregation of the key-value pairs

To filter out unwanted key-value pairs

In the MapReduce programming model, what are the fundamental components?

Input and Output

Combiner and Partitioner

Keys and Values (correct)

Mapper and Reducer

What is the role of the Execution framework in a MapReduce job?

It handles the sorting and merging of output pairs

It handles all aspects except for the mapper and reducer code (correct)

It ensures efficient parallel processing of key-value pairs

It configures the location of input and output paths

What does the provided Mapper pseudo code accomplish?

Counts the occurrences of each term in the document Signup and view all the answers

What is the role of the JobTracker in a Hadoop system?

Managing resources and accepting tasks from TaskTrackers Signup and view all the answers

What is the purpose of a Combiner in the MapReduce programming model?

Summarizing the map output pairs with the same key before sending the data to the reducer phase Signup and view all the answers

What do TaskTrackers do in a Hadoop system?

Accepting tasks from JobTracker and informing JobTracker of task status Signup and view all the answers

What is the primary purpose of MapReduce in the context of Hadoop's distributed file system (HDFS)?

To automatically parallelize and coordinate computations across a cluster Signup and view all the answers

How does Hadoop's MapReduce system address the issue of machine failures in a cluster?

By automatically handling machine failures and coordination of computations Signup and view all the answers

What is the main role of HDFS in the context of Hadoop's MapReduce system?

To distribute, coordinate, and monitor processing of large data sets Signup and view all the answers