Hadoop Ecosystem Fundamentals: MapReduce, Pig, Hive Basics
Authored by Dhanyaa R Shetty
Engineering
University
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40 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
MapReduce focuses on ________, while Hive focuses on ________.
Real-time processing; Batch analytics
Batch processing; Data warehousing and querying
Data visualization; ETL operations
Data streaming; File storage
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which Hadoop component provides a high-level abstraction over MapReduce jobs?
Pig and Hive
YARN and HDFS
HBase and Sqoop
Oozie and Flume
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Pig Latin scripts are internally converted into:
HiveQL queries
MapReduce jobs
SQL queries
NoSQL tables
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
MapReduce handles data at the ______ level, while Hive manages it at the ______ level.
Record; Table
File; Block
Job; Cluster
Node; Directory
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which one is declarative in nature?
MapReduce
Pig Latin
HiveQL
Both B and C
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Pig is mainly designed for _______, whereas MapReduce is for _______.
Simple queries; complex operations
ETL operations; custom logic
OLTP systems; OLAP systems
Data transfer; resource management
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In Hive, every query is internally executed as:
SQL job
MapReduce job
Spark job
Shell command
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