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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Data Processing with Pig | - Pig Latin fundamentals
|
| Data Warehousing with Hive | - Advanced Hive features
|
| Hadoop Ecosystem Integration | - Data ingestion and ETL workflows - HDFS interaction - MapReduce basics |
Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:
Question 1
Identify the tool best suited to import a portion of a relational database every day as files into HDFS, and
generate Java classes to interact with that imported data?
A. fuse-dfs
B. Hue
C. Oozie
D. Pig
E. Hive
F. Flume
G. Sqoop
Question 2
Given the following Hive command:
INSERT OVERWRITE TABLE mytable SELECT * FROM myothertable;
Which one of the following statements is true?
A. The statement is not a valid Hive command
B. A new table named mytable is created, and the contents of myothertable are copied into mytable
C. The contents of myothertable are appended to mytable
D. Any existing data in mytable will be overwritten
Question 3
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. One, no special characters can prefix the name of an input file
B. Two, file names with a leading period or underscore are ignored
C. Three, the pound sign is an invalid character for HDFS file names
D. None, the directory cannot be named jobdata
E. Four, all files will be processed
Question 4
Which one of the following statements describes a Pig bag. tuple, and map, respectively?
A. Unordered collection of maps, ordered collection of tuples, ordered set of key/value pairs
B. Unordered collection of tuples, ordered set of fields, set of key value pairs
C. Ordered set of fields, ordered collection of tuples, ordered collection of maps
D. Ordered collection of maps, ordered collection of bags, and unordered set of key/value pairs
Question 5
What data does a Reducer reduce method process? Reference: Yahoo! Hadoop Tutorial, Module 4:
MapReduce
A. All data for a given value, regardless of which mapper(s) produced it.
B. All data for a given key, regardless of which mapper(s) produced it.
C. All the data in a single input file.
D. All data produced by a single mapper.
Solutions:
| Question 1 Answer: G | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: B |
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