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HDPCD Exam Questions

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HDPCD Exam Questions

Free HDPCD Exam Questions - Hortonworks HDPCD Exam

Hortonworks HDPCD Exam

Hortonworks Data Platform Certified Developer

Total Questions: 108

Last Updated : 01-09-2024

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Hortonworks HDPCD Exam Sample Questions:

Q1.

In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there be in the sort/shuffle phase?

AmXn (i.e., m multiplied by n)

Dm+n (i.e., m plus n)

Emn (i.e., m to the power of n)

Q2.

MapReduce v2 (MRv2/YARN) splits which major functions of the JobTracker into separate daemons? Select two.

AHeath states checks (heartbeats)

BResource management

CJob scheduling/monitoring

DJob coordination between the ResourceManager and NodeManager

ELaunching tasks

FManaging file system metadata

GMapReduce metric reporting

HManaging tasks

Q3.

In a MapReduce job with 500 map tasks, how many map task attempts will there be?

AIt depends on the number of reduces in the job.

BBetween 500 and 1000.

CAt most 500.

DAt least 500.

EExactly 500.

Q4.

A combiner reduces:

AThe number of values across different keys in the iterator supplied to a single reduce method call.

BThe amount of intermediate data that must be transferred between the mapper and reducer.

CThe number of input files a mapper must process.

DThe number of output files a reducer must produce.

Q5.

You write MapReduce job to process 100 files in HDFS. Your MapReduce algorithm uses TextInputFormat: the mapper applies a regular expression over input values and emits key-values pairs with the key consisting of the matching text, and the value containing the filename and byte offset. Determine the difference between setting the number of reduces to one and settings the number of reducers to zero.

AThere is no difference in output between the two settings.

BWith zero reducers, no reducer runs and the job throws an exception. With one reducer, instances of matching patterns are stored in a single file on HDFS.

CWith zero reducers, all instances of matching patterns are gathered together in one file on HDFS. With one reducer, instances of matching patterns are stored in multiple files on HDFS.

DWith zero reducers, instances of matching patterns are stored in multiple files on HDFS. With one reducer, all instances of matching patterns are gathered together in one file on HDFS.

Solutions:

Question: 1 Answer: A

Question: 2 Answer: B, C

Question: 3 Answer: D

Question: 4 Answer: B

Question: 5 Answer: D