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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

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

1. Which HDFS command uploads a local file X into an existing HDFS directory Y?

A) hadoop scp X Y
B) hadoop fs -localPut X Y
C) hadoop fs-put X Y
D) hadoop fs -get X Y

2. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

A) Runs on the same machine and shares the memory of the active NameNode.
B) Communicates directly with the active NameNode to maintain the state of the active NameNode.
C) Receives the same block reports as the active NameNode.
D) Processes all client requests and block reports from the appropriate DataNodes.

3. Which two of the following statements are true about Pig's approach toward data? Choose 2 answers

A) Accepts any data: structured or unstructured
B) Accepts only data that has a key/value pair structure
C) Accepts only data that is defined by metadata tables stored in a database
D) Accepts data whether it has metadata or not
E) Accepts tab-delimited text data only

4. 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.

A) There is no difference in output between the two settings.
B) With 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.
C) With 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.
D) With 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.

5. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and #data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's given a path object representing this directory?

A) None, the directory cannot be named jobdata
B) One, no special characters can prefix the name of an input file
C) Four, all files will be processed
D) Three, the pound sign is an invalid character for HDFS file names
E) Two, file names with a leading period or underscore are ignored

Solutions: