Hadoop Mock Test 2 - Sanfoundry

10%

Question 1 of 10

1. Hadoop I/O Hadoop comes with a set of ________ for data I/O.

methods

commands

none of the mentioned

classes

Question 1 of 10

Question 2 of 10

2. The __________ codec uses Google's Snappy compression library.

none of the mentioned

null

snappy

deflate

Question 2 of 10

Question 3 of 10

3. The Hadoop MapReduce framework spawns one map task for each __________ generated by the InputFormat for the job.

OutputSplit

All of the mentioned

InputSplitStream

InputSplit

Question 3 of 10

Question 4 of 10

4. ________ instances are encoded using the number of bytes declared in the schema.

Maps

Enum

Unions

Fixed

Question 4 of 10

Question 5 of 10

5. The HDFS file system is temporarily unavailable whenever the HDFS ________ is down.

None of the mentioned

ActionNode

NameNode

DataNode

Question 5 of 10

Question 6 of 10

6. The ________ option allows applications to add jars to the classpaths of the maps and reduces.

optionname

-libjars

-archives

all of the mentioned

Question 6 of 10

Question 7 of 10

7. Point out the correct statement.

The serialized data is in a compact binary format that doesn't require proxy objects or code generation

All of the mentioned

Including schemas with the Avro messages allows any application to deserialize the data

Apache Avro is a framework that allows you to serialize data in a format that has a schema built in

Question 7 of 10

Question 8 of 10

8. __________ facilitates construction of generic data-processing systems and languages.

All of the mentioned

Dynamic typing

No manually-assigned field IDs

Untagged data

Question 8 of 10

Question 9 of 10

9. Which of the following works well with Avro?

Lucene

None of the mentioned

kafka

MapReduce

Question 9 of 10

Question 10 of 10

10. The _________ codec from Google provides modest compression ratios.

Snappy

FileCompress

None of the mentioned

Snapcheck

Question 10 of 10