Hadoop Quiz


Play this quiz that will help you to excel in Hadoop certification exams, placements etc. This Hadoop quiz consist of 10 questions that you need to solve in 10 minutes. We’ve specially designed this quiz so that you can quickly acquaint to the pattern of questions you can be asked in placement drives, certification exams etc. This Hadoop test enables you to assess your knowledge of Hadoop.

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Hadoop MCQs

Practice Hadoop MCQ Questions, which will help you to understand your hadoop related concepts and also helps you to prepare for placements, technical rounds, interviews, competitive exams etc.

Hadoop Quiz

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Hadoop Quiz

1. Point out the wrong statement.

Pig can invoke code in language like Java Only
Pig enables data workers to write complex data transformations without knowing Java
Pig's simple SQL-like scripting language is called Pig Latin, and appeals to developers already familiar with scripting languages and SQL
Pig is complete, so you can do all required data manipulations in Apache Hadoop with Pig

2. ________ phase merges the counts for unique ngrams or ngram fragments across multiple documents.

CollocCombiner
CollocReducer
CollocMerger
None of the above

3. which of the following is incorrect statement?

HBase is built for wide tables
Transactions are there in HBase.
HBase has de-normalized data.
HBase is good for semi-structured as well as structured data.

4. What license is Hadoop distributed under?

Apache License 2.1
Apache License 2.2
Apache License 2.0
Apache License 1.0

5. In how many forms BigData could be found?

2
3
4
5

6. Which of the following company has developed PIG?

Google
Yahoo
Microsoft
Apple

7. The ________ allows users to read or write Avro data as Hive tables.

AvroSerde
HiveSerde
SqlSerde
HiveQLSerde

8. Which of the following command runs ResourceManager admin client?

proxyserver
run
admin
rmadmin

9. Listed below are the three steps that are followed to deploy a Big Data Solution except

Data Processing
Data dissemination
Data Storage
Data Ingestion

10. Point out the wrong statement.

'Taste' collaborative-filtering recommender component of Mahout was originally a separate project and can run standalone without Hadoop
Integration of Mahout with initiatives such as the Pregel-like Giraph are actively under discussion
Calculating the LLR is very straightforward
None of the above

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