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Multiple Choice

Which set of terms represents the Big Data descriptors as coined by IBM?

IBM’s four Big Data descriptors are Volume, Velocity, Variety, Veracity. Volume captures the enormous scale of data generated from countless sources. Velocity refers to how quickly data arrives and must be processed, often in real time or near real time. Variety highlights the many different data types and formats, from structured records to unstructured text, audio, and sensor streams. Veracity addresses data quality and trust, acknowledging that data can be noisy, incomplete, or uncertain and still useful with proper management and validation. Other options use similar ideas with different words, but they aren’t the IBM terms. For example, Vast or Mass isn’t the standard IBM term for the amount of data, and Variance or Validity aren’t the IBM descriptors either. Speed and True, Diversity and Amount mix acceptable synonyms but don’t match the IBM four exactly. The pairings that fit IBM’s set are Volume, Velocity, Variety, Veracity.

IBM’s four Big Data descriptors are Volume, Velocity, Variety, Veracity. Volume captures the enormous scale of data generated from countless sources. Velocity refers to how quickly data arrives and must be processed, often in real time or near real time. Variety highlights the many different data types and formats, from structured records to unstructured text, audio, and sensor streams. Veracity addresses data quality and trust, acknowledging that data can be noisy, incomplete, or uncertain and still useful with proper management and validation.

Other options use similar ideas with different words, but they aren’t the IBM terms. For example, Vast or Mass isn’t the standard IBM term for the amount of data, and Variance or Validity aren’t the IBM descriptors either. Speed and True, Diversity and Amount mix acceptable synonyms but don’t match the IBM four exactly. The pairings that fit IBM’s set are Volume, Velocity, Variety, Veracity.