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Which is true about DataSource API?

1. Build in support to read data from various input formats like Hive, Avro, JSON, JDBC, Parquet, etc.
2. None of the options
3. and Build in support to read data from various input formats like Hive, Avro, JSON, JDBC, Parquet, etc.
4. The top layer in the Spark SQL architecture.

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Which is true about DataSource API
1. Build in support to read data from various input formats like Hive, Avro, JSON, JDBC, Parquet, etc.
2. None of the options
3. and Build in support to read data from various input formats like Hive, Avro, JSON, JDBC, Parquet, etc.
4. The top layer in the Spark SQL architecture.

🔗Reference : W3school.com

🔗Source: Interview Questions and Answers

🔗Reference: Javatpoint.com

Answer is:-  Build in support to read data from various input formats like Hive, Avro, JSON, JDBC, Parquet, etc.

by (185k points)

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