Question 1

Section A

CropData, an agricultural technology firm, collects terabytes of unstructured data daily from satellite imagery, soil sensors, and global weather patterns. They use machine learning algorithms to analyze this massive dataset to forecast crop yields months in advance. Which of the 'Vs' of Big Data is most directly addressed by using machine learning to make sense of this unstructured data?

Accepted Answer

Focus on the end goal described: 'analyze this massive dataset to forecast crop yields'. Forecasting provides actionable business insight, which represents the 'Value' of Big Data.

Question 2

What mistakes do candidates make on this ACCA question?

Accepted Answer

Choosing 'Variety' because unstructured data is mentioned. However, the question specifically asks what is addressed by *using machine learning to make sense of it* (extracting the forecast).

How to approach this question

Full Answer

Common mistakes

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