Hadoop 2.0 Certification exam for Pig and Hive Developer: Apache-Hadoop-Developer Exam

"Hadoop 2.0 Certification exam for Pig and Hive Developer", also known as Apache-Hadoop-Developer exam, is a Hortonworks Certification. With the complete collection of questions and answers, iPassleader has assembled to take you through 110 Q&As to your Apache-Hadoop-Developer Exam preparation. In the Apache-Hadoop-Developer exam resources, you will cover every field and category in HCAHD Certification helping to ready you for your successful Hortonworks Certification.

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  • Updated on: May 30, 2026
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  • Updated on: May 30, 2026
  • No. of Questions: 110 Questions & Answers

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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. Review the following data and Pig code.
M,38,95111 F,29,95060 F,45,95192 M,62,95102 F,56,95102
A = LOAD 'data' USING PigStorage('.') as (gender:Chararray, age:int, zlp:chararray);
B = FOREACH A GENERATE age;
Which one of the following commands would save the results of B to a folder in hdfs named myoutput?

A) DUMP B using PigStorage('myoutput');
B) DUMP B INTO 'myoutput';
C) STORE A INTO 'myoutput' USING PigStorage(',');
D) STORE B INTO 'myoutput';


2. What is a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be the same type. Each value must be same type.
B) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
C) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in sorted order.
D) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.


3. You need to move a file titled "weblogs" into HDFS. When you try to copy the file, you can't. You know you have ample space on your DataNodes. Which action should you take to relieve this situation and store more files in HDFS?

A) Increase the block size on all current files in HDFS.
B) Increase the block size on your remaining files.
C) Decrease the block size on all current files in HDFS.
D) Decrease the block size on your remaining files.
E) Increase the amount of memory for the NameNode.
F) Increase the number of disks (or size) for the NameNode.


4. Given the following Hive command:

Which one of the following statements is true?

A) The files in the mydata folder do not move from their current location In HDFS
B) The files in the mydata folder are copied into Hive's underlying relational database
C) The files in the mydata folder are copied to a subfolder of /apps/hlve/warehouse
D) The files in the mydata folder are moved to a subfolder of /apps/hive/wa re house


5. You have just executed a MapReduce job. Where is intermediate data written to after being emitted from the Mapper's map method?

A) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node running the Reducer
B) Intermediate data in streamed across the network from Mapper to the Reduce and is never written to disk.
C) Into in-memory buffers that spill over to the local file system of the TaskTracker node running the Mapper.
D) Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into HDFS.
E) Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into HDFS.


Solutions:

Question # 1
Answer: D
Question # 2
Answer: A
Question # 3
Answer: D
Question # 4
Answer: A
Question # 5
Answer: C

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