Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
Certification Provider: Hortonworks
Corresponding Certification: HDP Certified Developer
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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing with Pig | - Advanced Pig processing
|
| Hadoop Ecosystem Integration | - Data ingestion and ETL workflows - HDFS interaction - MapReduce basics |
| Data Warehousing with Hive | - HiveQL fundamentals
|
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
For each input key-value pair, mappers can emit:
- A. One intermediate key-value pair, but of the same type.
- B. As many intermediate key-value pairs as designed, as long as all the keys have the same types and all
the values have the same type. - C. As many intermediate key-value pairs as designed. There are no restrictions on the types of those
key-value pairs (i.e., they can be heterogeneous). - D. As many intermediate key-value pairs as designed, but they cannot be of the same type as the input
key-value pair. - E. One intermediate key-value pair, of a different type.
Workflows expressed in Oozie can contain:
- A. Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
exception handlers but no forks. - B. Iterntive repetition of MapReduce jobs until a desired answer or state is reached.
- C. Sequences of MapReduce and Pig. These sequences can be combined with other actions including
forks, decision points, and path joins. - D. Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
be combined with forks and path joins.
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. OutputFormat
- B. Writable
- C. WritableComparable
- D. Combiner
- E. Partitioner
- F. InputFormat
Which HDFS command displays the contents of the file x in the user's HDFS home directory?
- A. hadoop fs -Is x
- B. hadoop fs -cat x
- C. hadoop fs -cp x
- D. hdfs fs -get x
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 number of disks (or size) for the NameNode.
- 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 block size on all current files in HDFS.
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