adplus-dvertising
frame-decoration

Question

How are key-value pairs processed in the reduce() function in the MapReduce model?

a.

They are divided into two stages.

b.

They are grouped by keys and processed.

c.

They are computed by the map() function.

d.

They are emitted by the map() function.

Posted under Big Data Computing

Answer: (b).They are grouped by keys and processed. Explanation:Key-value pairs generated by the map() function are grouped by keys and processed in the reduce() function.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. How are key-value pairs processed in the reduce() function in the MapReduce model?

Similar Questions

Discover Related MCQs

Q. In the MapReduce word count application, what is the purpose of the map() function?

Q. What is the primary task of the reduce() function in the word count application?

Q. What is the purpose of the intermediate key-value pairs produced during the map() function in the word count application?

Q. How are key-value pairs processed during the reduce() function in the word count application?

Q. In which scenario would implementing a distributed version of grep using MapReduce be straightforward?

Q. How is the map stage of the sorting problem different from the searching problem in MapReduce?

Q. Why is MapReduce a suitable choice for maintaining and updating search engine indices?

Q. What data structure is commonly used for information retrieval, and how is it implemented with MapReduce?

Q. Why are logs a good fit for MapReduce processing?

Q. What is the primary advantage of using MapReduce for log analysis?

Q. How does MapReduce handle logs that are not entirely structured?

Q. In the context of MapReduce, what is meant by "embarrassingly parallel problems"?

Q. Which major search engines are known to use MapReduce for various tasks?

Q. What distinguishes Grid computing from MapReduce in terms of data processing?

Q. Why is MapReduce not perfectly suited for all graph problems?

Q. How can MapReduce be used to work around the limitations in processing large graphs?

Q. What is PageRank, and how is it typically implemented in a MapReduce application?

Q. Which company originally designed and implemented the Google MapReduce framework?

Q. How did Google's MapReduce implementation evolve in terms of job numbers, job completion times, and output data size?

Q. Which company originally developed Hadoop?