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Hortonworks HDPCD  Exam Questions & Answers
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Hortonworks HDPCD Exam Questions & Answers


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  • Vendor: Hortonworks

    Exam Code: HDPCD

    Exam Name: Hortonworks Data Platform Certified Developer

    Certification Provider: Hortonworks

    Total Questions: 60 Q&A

    Updated on: Dec 17, 2024

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HDPCD Online Practice Questions and Answers

Questions 1

You've written a MapReduce job that will process 500 million input records and generated 500 million key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant amount of intermediate data that it needs to transfer between mappers and reduces which is a potential bottleneck. A custom implementation of which interface is most likely to reduce the amount of intermediate data transferred across the network?

A. Partitioner

B. OutputFormat

C. WritableComparable

D. Writable

E. InputFormat

F. Combiner

Show Answer

Correct Answer: F

Explanation: Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative.

Reference: 24 Interview Questions and Answers for Hadoop MapReduce developers, What are combiners? When should I use a combiner in my MapReduce Job?

Questions 2

Which one of the following statements describes a Pig bag. tuple, and map, respectively?

A. Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs

B. Unordered collection of tuples, ordered set of fields, set of key value pairs

C. Ordered set of fields, ordered collection of tuples, ordered collection of maps

D. Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs

Show Answer

Correct Answer: B

Questions 3

Determine which best describes when the reduce method is first called in a MapReduce job?

A. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The programmer can configure in the job what percentage of the intermediate data should arrive before the reduce method begins.

B. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called only after all intermediate data has been copied and sorted.

C. Reduce methods and map methods all start at the beginning of a job, in order to provide optimal performance for map-only or reduce-only jobs.

D. Reducers start copying intermediate key-value pairs from each Mapper as soon as it has completed. The reduce method is called as soon as the intermediate key-value pairs start to arrive.

Show Answer More Questions

Correct Answer: B

Reference: 24 Interview Questions and Answers for Hadoop MapReduce developers , When is the reducers are started in a MapReduce job?

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