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Question 1 of 10
1. Question
In the Abate Information Triangle, what is described as as data with business context or function?
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Question 2 of 10
2. Question
Data Science allows us to try and predict behaviour. In order to develop such insights, we need to iteratively include data sources into our models. This means we need to rely on:
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Question 3 of 10
3. Question
The 3 Vs have been used to characterise Big Data and has now expanded to include more Vs. Which V are we referring to when talking about how trustworthy the data is?
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Question 4 of 10
4. Question
A Data Lake has the capability to ingest a large amount of data that comes in various types and structures. Which of these points is NOT a purpose for a Data Lake?
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Question 5 of 10
5. Question
Which of these is NOT a common technique used in data and text mining?
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Question 6 of 10
6. Question
If you are building statistical models that find correlations and trends among data elements and data sets, which activity are you performing?
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Question 7 of 10
7. Question
What was the main limitation of traditional computing platforms that led to the development of Massively Parallel Processing?
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Question 8 of 10
8. Question
Which analytic model best refers to the application of statistical models to data for the purpose of testing causal hypotheses on theoretical constructs?
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Question 9 of 10
9. Question
What decisions are NOT worth considering when embarking on a big data or data science initiative?
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Question 10 of 10
10. Question
When Securing Big Data, what does recombination measure?
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