1.Amazon has been collecting review data for a particular product. They have realized that almost 90% of the reviews were mostly a 5/5 rating. However, of the 90%, they realized that 50% of them were customers who did not have proof of purchase or customers who did not post serious reviews about the product. Of the following, which is true about the review data collected in this situation?
1 point
High Veracity
Low Veracity
Low Valence
Low Volume
High Volume
2.As mentioned in the slides, what are the challenges to data with a high valence?
1 point
Complex Data Exploration Algorithms
Difficult to Integrate
Reliability of Data
3.Which of the following are the 6 V’s in big data?
1 point
Value
Variety
Volume
Valence
Vision
Veracity
Velocity
4.What is the veracity of big data?
1 point
The abnormality or uncertainties of data.
The speed at which data is produced.
The size of the data.
The connectedness of data.
5.What are the challenges of data with high variety?
1 point
Hard in utilizing group event detection.
Hard to perform emergent behavior analysis.
Hard to integrate.
The quality of data is low.
6.Which of the following is the best way to describe why it is crucial to process data in real-time?
1 point
Prevents missed opportunities.
More expensive to batch process.
Batch processing is an older method that is not as accurate as real-time processing.
More accurate.
7.What are the challenges with big data that has high volume?
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