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Hadoop IO


1.Answer:d

Explanation:Hadoop I/O consist of primitives for serialization and deserialization.

 

2.Answer:d

Explanation:In contrast with other persistent key-value data structures like B-Trees, you can’t seek to a specified key editing, adding or removing it.

 

3.Answer:b

Explanation:SequenceFile is append-only.

 

4.Answer:b

Explanation:SequenceFile has 3 available formats: An “Uncompressed” format, A “Record Compressed” format and a “Block-Compressed”.

 

5.Answer:c

Explanation:Map file is again a kind of hadoop file based data structure and it differs from a sequence file in a matter of the order.

 

6.Answer:c

Explanation:SequenceFile key-value list can be just a Text/Text pair, and is written to the file during the initialization that happens in the SequenceFile.

 

7.Answer:c

Explanation:Sequence files are data file (“/data”) and the index file (“/index”).

 

8.Answer:b

Explanation:Index does’t contains all the keys but just a fraction of the keys.

 

9.Answer:b

Explanation:The SetFile instead of append(key, value) as just the key field append(key) and the value is always the NullWritable instance.

 

10.Answer:b

Explanation:Avro is a splittable data format with a metadata section at the beginning and then a sequence of avro serialized objects.

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