adplus-dvertising
frame-decoration

Question

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

a.

They are assigned to different Reduce instances.

b.

They are combined into a single output record.

c.

They are stored in separate output files.

d.

They are ignored in the Reduce phase.

Posted under Big Data Computing

Answer: (c).They are stored in separate output files. Explanation:Output records with the same hash value are stored in separate output files in the MapReduce program.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

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

Similar Questions

Discover Related MCQs

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?

Q. What is the primary purpose of the MapReduce system in the context of interfacing with DBMSs?

Q. What is the primary focus of machine learning?

Q. Which type of learning is often used in knowledge discovery, data mining, and machine learning?

Q. What are the two main goals of the learning from data process?

Q. In supervised learning, how are the classes determined?

Q. What is one of the basic tasks in supervised learning?

Q. What distinguishes unsupervised learning from supervised learning?

Q. What is a common goal of unsupervised learning?

Q. Why is machine learning well-suited for handling Big Data?

Q. What types of tasks are strengths of machine learning algorithms in the context of Big Data?