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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

Section	Objectives
Topic 1: Hadoop Core Concepts	- HDFS architecture and commands - YARN and MapReduce fundamentals
Topic 2: Hive Development	- Hive optimization and execution - Hive table definitions and queries
Topic 3: Pig Development	- Pig Latin scripting - Pig data types and UDFs
Topic 4: Hadoop Ecosystem Tools	- Workflow and processing frameworks - Sqoop and data ingestion

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. Workflows expressed in Oozie can contain:

A) Sequences of MapReduce job only; on Pig on Hive tasks or jobs. These MapReduce sequences can
be combined with forks and path joins.
B) Sequences of MapReduce and Pig. These sequences can be combined with other actions including
forks, decision points, and path joins.
C) Sequences of MapReduce and Pig jobs. These are limited to linear sequences of actions with
exception handlers but no forks.
D) Iterntive repetition of MapReduce jobs until a desired answer or state is reached.

2. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column
of the inputdata table.
B) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of
the inputdata table.
C) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the
inputdata table.
D) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input
data A1 table.

3. In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there
be in the sort/shuffle phase?

A) m+n (i.e., m plus n)
B) mn (i.e., m to the power of n)
C) m
D) mXn (i.e., m multiplied by n)
E) n

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

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

5. 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) Pig
B) Flume
C) Sqoop
D) Hive
E) Hue
F) Oozie
G) fuse-dfs