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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

SectionObjectives
Hive Development- Hive optimization and execution
- Hive table definitions and queries
Hadoop Core Concepts- YARN and MapReduce fundamentals
- HDFS architecture and commands
Hadoop Ecosystem Tools- Workflow and processing frameworks
- Sqoop and data ingestion
Pig Development- Pig data types and UDFs
- Pig Latin scripting

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

1. Workflows expressed in Oozie can contain:

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


2. 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) Three, the pound sign is an invalid character for HDFS file names
D) Four, all files will be processed
E) Two, file names with a leading period or underscore are ignored


3. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Algorithms that require global, sharing states.
B) Algorithms that require applying the same mathematical function to large numbers of individual binary
records.
C) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
D) Large-scale graph algorithms that require one-step link traversal.
E) Relational operations on large amounts of structured and semi-structured data.


4. You want to perform analysis on a large collection of images. You want to store this data in HDFS and
process it with MapReduce but you also want to give your data analysts and data scientists the ability to
process the data directly from HDFS with an interpreted high-level programming language like Python.
Which format should you use to store this data in HDFS?

A) XML
B) CSV
C) Avro
D) HTML
E) SequenceFiles
F) JSON


5. You have user profile records in your OLPT database, that you want to join with web logs you have
already ingested into the Hadoop file system. How will you obtain these user records?

A) Hive LOAD DATA command
B) Ingest with Hadoop Streaming
C) Sqoop import
D) Pig LOAD command
E) Ingest with Flume agents
F) HDFS command


Solutions:

Question # 1
Answer: D
Question # 2
Answer: E
Question # 3
Answer: A
Question # 4
Answer: C
Question # 5
Answer: C

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