adplus-dvertising
frame-decoration

Question

What does the Map function do in a MapReduce program?

a.

It reduces the data volume.

b.

It filters and transforms the input data.

c.

It stores data in partitions.

d.

It schedules tasks on different nodes.

Posted under Big Data Computing

Answer: (b).It filters and transforms the input data. Explanation:The Map function reads a set of "records" from an input file, does any desired filtering or transformations, and then outputs a set of intermediate records by processing the input data.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. What does the Map function do in a MapReduce program?

Similar Questions

Discover Related MCQs

Q. How are the output records of the Map function partitioned in MapReduce?

Q. What is the primary advantage of using MapReduce for massive data processing?

Q. What is the purpose of the MapReduce scheduler in a distributed processing framework?

Q. How many output files are typically produced by each Map function instance in MapReduce?

Q. What is the primary purpose of the Reduce phase in a MapReduce program?

Q. What determines which Reduce instance consumes output records with the same hash value from the Map phase?

Q. What is the purpose of the MapReduce main controller?

Q. What is the typical implementation of PageRank using MapReduce?

Q. What is one of the key advantages of MapReduce?

Q. How does the MapReduce program handle output records with the same hash value?

Q. What is the role of the control program in the implementation of PageRank using MapReduce?

Q. What characteristic of MapReduce contributes to its high fault tolerance?

Q. What is the typical number of Reduce instances in a MapReduce program?

Q. What is the primary function of the MapReduce scheduler?

Q. What are the two crucial aspects that enable parallel execution in database systems?

Q. What does the optimizer in a parallel DBMS translate SQL commands into?

Q. In a parallel DBMS, when does the filter subquery in a SQL command get performed in parallel?

Q. What is the final step required in a parallel DBMS after performing a hash join and calculating preliminary aggregate functions?

Q. Why is there a need for interfaces between MapReduce systems and DBMSs?

Q. What is the result of integrating MapReduce and DBMSs for complex analytical problems?