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Apache Hive - Introduction

Total questions: 15

Worksheet time: 4mins

Name
Class
Date
1.

Hive created by

a)

Facebook

b)

Google

c)

Amazon

d)

Yahoo!

2.

Hive is a

a)

Data Warehousing Tool

b)

DataBase Management Tool

c)

Data Scrapping Tool

d)

Hadoop Data Tool

3.

Hive don't make use of following:

a)

HDFS for Storage

b)

MapReduce for Execution

c)

Stores metadata in a RDBMS

d)

GPU for Processing

4.

HQL is ______________ to SQL

a)

Similar

b)

Dissimilar

5.

Hive __________ SQL queries _________ MapReduce Jobs

a)

create, convert into

b)

compiles, into

c)

execute, from

d)

interpret, of

6.

Which of them is not hive feature?

a)

easy to code

b)

support rich datatypes

c)

supports group-by

d)

UDF not supported

7.

A database is namespace for

a)

tables

b)

fields

c)

records

d)

keys

8.

Separation of data on basis of specific attribute is

a)

Partition

b)

Bucketting

c)

Fragmentation

d)

Slicing

9.

Separation of data on basis of mathematical hash function is

a)

Partition

b)

Bucketting

c)

Fragmentation

d)

Slicing

10.

What is the right visual charter of HIVE Application?

a)
b)
c)
d)
11.

What hive is not

a)

online transaction processing

b)

Data Warehousing tool

c)

Similar to SQL

d)

Analyze log data

12.

Hive is suitable for

a)

real-time queries

b)

row-level updates

c)

queries over small data sets

d)

analyze historical data

13.

Applications of Apache Hive

a)

Log processing

b)

OLTP

c)

Billing systems

d)

Processing Web Forms

14.

Hive enables easy data summarization, ad-hoc querying and analysis of large volumes of data.

a)

true

b)

false

15.

In _________ due to equal volumes of data in each partition, joins at Map side will be quicker.

a)

bucketing

b)

partitioning