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Hortonworks Apache-Hadoop-Developer Exam Syllabus Topics:

Section	Objectives
Topic 1: Apache Hive	- HiveQL Query Language 1. Schema definition and tables 2. SELECT, JOIN, and aggregation queries - Hive architecture 1. Metastore and query execution engine
Topic 2: Apache Pig	- Pig execution model 1. MapReduce translation of Pig scripts - Pig Latin Programming 1. Data loading and transformation 2. Filtering, grouping, and joining data
Topic 3: Data Processing and Integration	- Hadoop data formats 1. Text, SequenceFile, and columnar formats - Data ingestion and ETL workflows 1. Batch processing concepts
Topic 4: Hadoop Ecosystem Fundamentals	- YARN and Resource Management 1. Resource scheduling concepts 2. Cluster resource allocation - HDFS Architecture and Data Storage Concepts 1. NameNode and DataNode roles 2. Data replication and fault tolerance

Hortonworks Hadoop 2.0 Certification exam for 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. Hive
B. fuse-dfs
C. Oozie
D. Sqoop
E. Flume
F. Hue
G. Pig

Answer: D

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Question #2

You have the following key-value pairs as output from your Map task:
(the, 1) (fox, 1) (faster, 1) (than, 1) (the, 1) (dog, 1)
How many keys will be passed to the Reducer's reduce method?

A. Two
B. Five
C. One
D. Three
E. Six
F. Four

Answer: B

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Question #3

Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on which the Hadoop framework will look for an available slot schedule a MapReduce operation.