Data Analytics/Big Data
Data is all around us and the amount of data being gathered is growing. Big Data deals with extremely large data sets that can be analysed computationally to reveal patterns, trends and associations. This is especially the case in relation to human behaviour and interactions. It is important to understand what Big Data is, how it can be gathered, analysed and used by businesses. It is also key to understand how a company could use big data for planning for the future.
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Question 1 of 30
1. Question
What is the definition of Big Data?
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Question 2 of 30
2. Question
What percentage of the world’s recorded data was created between 2016 and 2018?
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Question 3 of 30
3. Question
What is the estimated number of smart phone users worldwide in 2018?
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Question 4 of 30
4. Question
For a long time businesses have recognised how the use of customer data can influence their operations, but data did not get big until…
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Question 5 of 30
5. Question
Big Data is viewed along two different constructs: structured vs unstructured data. Which of the following is NOT viewed as structured data?
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Question 6 of 30
6. Question
Which of the following is viewed as semi-structured / unstructured data?
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Question 7 of 30
7. Question
What can be used to better understand customers and their behaviours?
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Question 8 of 30
8. Question
87% of executives agree capturing and sharing the right data is important to effectively measure ROI. What does ROI stand for in this context?
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Question 9 of 30
9. Question
Which of the following is NOT generating Big Data?
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Question 10 of 30
10. Question
From a business perspective, which of the following is considered to be part of the 6 V’s of Big Data?
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Question 11 of 30
11. Question
Which of these phrases describes the ‘Veracity’ of data?
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Question 12 of 30
12. Question
A Terabyte is roughly equivalent to which of the following?
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Question 13 of 30
13. Question
What was the estimated collective global data size in 2018?
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Question 14 of 30
14. Question
Which of these is the largest file size?
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Question 15 of 30
15. Question
Which of the following is NOT a barrier to organisational implementation of Big Data?
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Question 16 of 30
16. Question
During 2018, approximately how many hours of YouTube content were uploaded each minute?
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Question 17 of 30
17. Question
What does the term ‘Analytics’ mean?
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Question 18 of 30
18. Question
What does the term ‘Predictive Analytics’ mean?
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Question 19 of 30
19. Question
What is an ‘Algorithm’?
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Question 20 of 30
20. Question
What is a ‘Data Lake’?
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Question 21 of 30
21. Question
What is a ‘Data Warehouse’?
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Question 22 of 30
22. Question
During 2018, approximately how much data has been added to Facebook daily?
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Question 23 of 30
23. Question
Which of the following can Big Data provide for business?
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Question 24 of 30
24. Question
Approximately, at what rate does Big Data grow?
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Question 25 of 30
25. Question
What does the term ‘Data Mining’ mean?
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Question 26 of 30
26. Question
What does the term ‘Machine Learning’ mean?
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Question 27 of 30
27. Question
Approximately what is the average growth shown by organisations that have adopted advanced analytics in 2018?
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Question 28 of 30
28. Question
How could Big Data improve the learner experience in an educational environment?
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Question 29 of 30
29. Question
What percentage of capital growth will Big Data contribute to by 2020?
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Question 30 of 30
30. Question
Which of the following skills are not required to be a data scientist?
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