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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Ingestion | - Import data into Hadoop
|
| Data Processing | - End-to-end Hadoop workflows
|
| Data Transformation with Pig | - Pig Latin programming
|
| Data Analysis with Hive | - Hive query development
|
Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:
What data does a Reducer reduce method process?
- A. All the data in a single input file.
- B. All data for a given key, regardless of which mapper(s) produced it.
- C. All data produced by a single mapper.
- D. All data for a given value, regardless of which mapper(s) produced it.
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In a MapReduce job with 500 map tasks, how many map task attempts will there be?
- A. Between 500 and 1000.
- B. It depends on the number of reduces in the job.
- C. At most 500.
- D. At least 500.
- E. Exactly 500.
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You have the following key-value pairs as output from your Map task:
(the, 1) (fox, 1) (faster, 1) (than, 1) (the, 1) (dog, 1)
How many keys will be passed to the Reducer's reduce method?
- A. One
- B. Two
- C. Five
- D. Six
- E. Four
- F. Three
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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. Writable
- C. InputFormat
- D. WritableComparable
- E. Combiner
- F. OutputFormat
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Given the following Pig commands:
Which one of the following statements is true?
- A. The severe relation is not valid
- B. The $1 variable represents the second column of data in 'my.log'
- C. The grouped relation is not valid
- D. The $1 variable represents the first column of data in 'my.log'








