Formats interview questions

15 real Formats questions from the Big Data bank, as asked in Indian campus drives and tech interviews. Every question has a verified answer and an AI-tutor explanation on placd — free to start.

1. What is Parquet?

Junior
  1. A.a columnar, indexed format native to the Hive ecosystem
  2. B.a row-based format with strong schema evolution, common in streaming
  3. C.a columnar storage format ideal for analytical reads and predicate pushdown
  4. D.a fast, splittable compression codec with a moderate ratio
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3. Which statement is correct?

Junior
  1. A.Parquet — a fast, splittable compression codec with a moderate ratio
  2. B.Parquet — gzip is not splittable, so one large gzip file is read by a single task
  3. C.Parquet — a columnar, indexed format native to the Hive ecosystem
  4. D.Parquet — a columnar storage format ideal for analytical reads and predicate pushdown
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4. What is Avro?

Junior
  1. A.a columnar storage format ideal for analytical reads and predicate pushdown
  2. B.a fast, splittable compression codec with a moderate ratio
  3. C.a row-based format with strong schema evolution, common in streaming
  4. D.a columnar, indexed format native to the Hive ecosystem
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6. Which statement is correct?

Junior
  1. A.Avro — a columnar storage format ideal for analytical reads and predicate pushdown
  2. B.Avro — a row-based format with strong schema evolution, common in streaming
  3. C.Avro — a fast, splittable compression codec with a moderate ratio
  4. D.Avro — gzip is not splittable, so one large gzip file is read by a single task
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7. What is ORC?

Junior
  1. A.a row-based format with strong schema evolution, common in streaming
  2. B.a columnar, indexed format native to the Hive ecosystem
  3. C.a columnar storage format ideal for analytical reads and predicate pushdown
  4. D.a fast, splittable compression codec with a moderate ratio
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9. Which statement is correct?

Junior
  1. A.ORC — gzip is not splittable, so one large gzip file is read by a single task
  2. B.ORC — a columnar storage format ideal for analytical reads and predicate pushdown
  3. C.ORC — a row-based format with strong schema evolution, common in streaming
  4. D.ORC — a columnar, indexed format native to the Hive ecosystem
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10. What is gzip splittability?

Mid
  1. A.gzip is not splittable, so one large gzip file is read by a single task
  2. B.a fast, splittable compression codec with a moderate ratio
  3. C.a row-based format with strong schema evolution, common in streaming
  4. D.a columnar, indexed format native to the Hive ecosystem
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12. Which statement is correct?

Mid
  1. A.gzip splittability — a fast, splittable compression codec with a moderate ratio
  2. B.gzip splittability — gzip is not splittable, so one large gzip file is read by a single task
  3. C.gzip splittability — a columnar storage format ideal for analytical reads and predicate pushdown
  4. D.gzip splittability — a row-based format with strong schema evolution, common in streaming
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13. What is Snappy?

Junior
  1. A.a fast, splittable compression codec with a moderate ratio
  2. B.a columnar storage format ideal for analytical reads and predicate pushdown
  3. C.gzip is not splittable, so one large gzip file is read by a single task
  4. D.a columnar, indexed format native to the Hive ecosystem
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15. Which statement is correct?

Junior
  1. A.Snappy — a columnar storage format ideal for analytical reads and predicate pushdown
  2. B.Snappy — a fast, splittable compression codec with a moderate ratio
  3. C.Snappy — a row-based format with strong schema evolution, common in streaming
  4. D.Snappy — gzip is not splittable, so one large gzip file is read by a single task
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