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Welcome to the Hadoop Frameworks MCQs Page

Dive deep into the fascinating world of Hadoop Frameworks with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Hadoop Frameworks, a crucial aspect of Hadoop. In this section, you will encounter a diverse range of MCQs that cover various aspects of Hadoop Frameworks, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Hadoop.

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Check out the MCQs below to embark on an enriching journey through Hadoop Frameworks. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Hadoop.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Hadoop Frameworks. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Hadoop Frameworks MCQs | Page 7 of 20

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Q61.
_____________ accepts a table to read data from and optionally a selection predicate to indicate which partitions to scan.

a.

HCatOutputFormat

b.

HCatInputFormat

c.

OutputFormat

d.

InputFormat

Discuss
Answer: (b).HCatInputFormat
Q62.
The HCatalog __________ supports all Hive DDL that does not require MapReduce to execute.

a.

Powershell

b.

CLI

c.

CMD

d.

All of the mentioned

Discuss
Answer: (b).CLI
Q63.
You can write to a single partition by specifying the partition key(s) and value(s) in the ___________ method.

a.

setOutput

b.

setOut

c.

put

d.

get

Discuss
Answer: (a).setOutput
Q64.
HCatalog supports the same data types as _________

a.

Pig

b.

Hama

c.

Hive

d.

Oozie

Discuss
Answer: (c).Hive
Q65.
__________ is a REST API for HCatalog.

a.

WebHCat

b.

WbHCat

c.

InpHCat

d.

None of the mentioned

Discuss
Answer: (a).WebHCat
Q66.
With HCatalog _________ does not need to modify the table structure.

a.

Partition

b.

Columns

c.

Robert

d.

All of the mentioned

Discuss
Answer: (c).Robert
Q67.
Sally in data processing uses __________ to cleanse and prepare the data.

a.

Pig

b.

Hive

c.

HCatalog

d.

Impala

Discuss
Answer: (a).Pig
Q68.
For ___________ partitioning jobs, simply specifying a custom directory is not good enough.

a.

static

b.

semi cluster

c.

dynamic

d.

all of the mentioned

Discuss
Answer: (c).dynamic
Q69.
___________ property allows us to specify a custom dir location pattern for all the writes, and will interpolate each variable.

a.

hcat.dynamic.partitioning.custom.pattern

b.

hcat.append.limit

c.

hcat.pig.storer.external.location

d.

hcatalog.hive.client.cache.expiry.time

Discuss
Answer: (a).hcat.dynamic.partitioning.custom.pattern
Q70.
HCatalog maintains a cache of _________ to talk to the metastore.

a.

HiveServer

b.

HiveClients

c.

HCatClients

d.

All of the mentioned

Discuss
Answer: (b).HiveClients
Page 7 of 20

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