Question at position 18 Which of the following is NOT one of the 5 Vs of Big Data?VarietyVelocityVolumeVulnerabilityClear my selectionSingle choice
A
Variety
B
Velocity
C
Volume
D
Vulnerability

Question

Question at position 18 Which of the following is NOT one of the 5 Vs of Big Data?VarietyVelocityVolumeVulnerabilityClear my selection

BlackTom AI · Accepted Answer

The five V’s of Big Data are commonly listed as Volume, Velocity, Variety, Veracity, and Value (sometimes Variability is used in place of Veracity/Value depending on the source). These dimensions describe key characteristics of big data: how much data (Volume), how fast it is generated and processed (Velocity), the different types and sources (Variety), the trustworthiness/quality of data (Veracity), and the benefit derived from data (Value).

1) Relevant knowledge points and concepts
- Volume: scale of data — terabytes, petabytes, etc.
- Velocity: speed of data generation and processing — streaming, real-time analytics.
- Variety: different data formats — structured, semi-structured, unstructured.
- Veracity: uncertainty and quality issues in data.
- Value: the usefulness or business value extracted from data.
- Vulnerability: relates to security risks and exposure, not traditionally one of the canonical Big Data “Vs.”

2) Complete reasoning process step by step
- Step 1: List the standard five Vs: Volume, Velocity, Variety, Veracity, Value.
- Step 2: Compare the provided options to this list: Variety (present), Velocity (present), Volume (present), Vulnerability (not present).
- Step 3: Conclude which option is NOT one of the five Vs.

3) Intermediate steps (explicit match)
- Option A: Variety → matches the 5 Vs.
- Option B: Velocity → matches the 5 Vs.
- Option C: Volume → matches the 5 Vs.
- Option D: Vulnerability → no match to the canonical list.

4) Why the correct answer is correct
Vulnerability refers to security weaknesses or exposure to threats; while important in data governance, it is not one of the canonical characteristics used to describe Big Data’s dimensional challenges. The canonical five focus on scale, speed, heterogeneity, trust/quality, and derived value.

5) Why other options are incorrect
Variety, Velocity, and Volume are explicitly included among the standard Big Data Vs, so they cannot be the correct “NOT” answer.

6) Conclusion
Therefore, the correct answer is Vulnerability, which matches the provided answer.

Question at position 18 Which of the following is NOT one of the 5 Vs of Big Data?VarietyVelocityVolumeVulnerabilityClear my selectionSingle choice

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