
Big Data Applications Quiz (Section 3)
Authored by Noah McErlane
Information Technology (IT)
9th Grade
Used 1+ times

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26 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which statement best describes how big data is used in manufacturing?
It only automates product packaging
It helps maximise production, reduce costs, and customise production based on demand
It replaces human workers entirely
It is irrelevant for manufacturing processes
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is an example of how big data can improve manufacturing processes?
Reducing machine performance standards
Allowing random variations in product quality
Analysing production variables to identify inefficiencies and solve problems
Ignoring patterns in production data
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a manufacturing company, can big data analysis help identify causes affecting product quality and suggest improvements?
True
False
Only in large companies
Only with manual data entry
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which option best represents the benefits of big data in the logistics industry?
Real‐time tracking of shipments combined with warehouse management and inventory monitoring
Automatic staff promotions and eliminating transport vehicles
Reducing shipment numbers and lowering quality control
Increasing manual record-keeping and random tracking
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
When big data is applied to logistics, how does it help if a product is not delivered on time?
It cannot be tracked at all
Both the seller and the customer can trace it in real‐time
The product is refunded automatically without tracking
The product is destroyed to avoid further cost
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which company is mentioned as using big data for fleet management and logistics software (known for providing real‐time navigation and traffic information)?
Apple
TomTom
Netflix
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which option best represents the key applications of big data in manufacturing?
Improving manufacturing processes, custom product design and production, and preventive maintenance
Increasing manual labour, reducing product design innovation, and eliminating maintenance
Only automating production lines without monitoring quality
Solely focusing on cutting costs without analysing production data
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