Which of the following can be used to control the number of part files in a MapReduce programs output directory?

Question: Which of the following can be used to control the number of part files in a MapReduce programs output directory?

  1. Shuffle parameters
  2. Number of Reducers
  3. Counter
  4. Number of Mappers
  5. Duplicate of ‘Question 2’

Correct Answer: 2

MapReduce and YARN

Apache Hadoop is one of the most popular tools for big data processing. It has been successfully deployed in production by many companies for several years. Though Hadoop is considered a reliable, scalable, and cost-effective solution, it is constantly being improved by a large community of developers.

As a result, the 2.0 version offers several revolutionary features, including Yet Another Resource Negotiator (YARN), HDFS Federation, and high availability, which make the Hadoop cluster much more efficient, powerful, and reliable.”

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