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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.