Why do businesses use predictive analytics in data-driven decision-making?

To predict future trends and improve decision-makin

How does edge computing improve data analytics in IoT applications?

It allows real-time data processing closer to the data source

What is one major disadvantage of 5G networks compared to fibre-optic networks?

Limited range and signal interference

How do cloud storage services like AWS and Google BigQuery benefit businesses?

They provide scalable and remote access to large datasets

What is the primary role of a CPU in computing?

Managing and executing instructions in a computer system

What is a key advantage of GPUs over CPUs in big data analytics?

Ability to process multiple tasks in parallel

Which of the following best describes a data lake?

A centralised repository for storing structured and unstructured data

What has enabled real-time data transmission and collaboration in modern enterprises?

Fibre-optic cables and 5G networks

Why are GPUs preferred for artificial intelligence (AI) applications?

They are optimised for parallel processing and large-scale computations

studbud

Enterprise Computing: Data Visualisation - Evolution of IT & Data Analytics

12 termsStudBud Administration10 plays

Flashcards12 cardsFPractice quizPHost liveL

Questions 12

Answers

1
Why do businesses use predictive analytics in data-driven decision-making?
To reduce the need for cybersecurity
To store large amounts of data efficiently
To replace human decision-making entirely
To predict future trends and improve decision-makin
2
How does edge computing improve data analytics in IoT applications?
It reduces data transmission costs
It replaces traditional data centers
It allows real-time data processing closer to the data source
It eliminates the need for cloud storage
3
What is one major disadvantage of 5G networks compared to fibre-optic networks?
Requires wired connections
Slower speeds
Limited range and signal interference
Higher data storage requirements
4
Which industry would benefit the most from GPU-accelerated big data analytics?
Healthcare
Retail
Agriculture
Hospitality
5
How do cloud storage services like AWS and Google BigQuery benefit businesses?
They replace the need for processing power
They provide scalable and remote access to large datasets
They are more expensive than maintaining local storage
They make data management more complex
6
Which technology has largely replaced traditional hard disk drives (HDDs) in modern computing?
Magnetic tapes
USB flash drives
Solid-state drives (SSDs)
Optical disks
7
What is the primary role of a CPU in computing?
Rendering high-resolution graphics
Transmitting data over networks
Storing large datasets
Managing and executing instructions in a computer system
8
What is a key advantage of GPUs over CPUs in big data analytics?
Ability to process multiple tasks in parallel
More affordable hardware
Lower power consumption
Faster serial processing
9
Which of the following best describes a data lake?
A small database optimized for quick searches
A system that replaces traditional data storage
A centralised repository for storing structured and unstructured data
A cloud-based computing environment
10
What is a major advantage of fibre-optic cables over traditional copper wiring?
Higher speed and bandwidth
Wider compatibility with older systems
Easier maintenance
Lower installation cost
11
What has enabled real-time data transmission and collaboration in modern enterprises?
Fibre-optic cables and 5G networks
4G networks
Satellite internet
Dial-up internet
12
Why are GPUs preferred for artificial intelligence (AI) applications?
They use less power than CPUs
They have better storage capabilities
They are optimised for parallel processing and large-scale computations
They are cheaper than CPUs

Enterprise Computing: Data Visualisation - Evolution of IT & Data Analytics Flashcards | StudBud

Enterprise Computing: Data Visualisation - Evolution of IT & Data Analytics

12 termsStudBud Administration10 plays

Enterprise Computing: Data Visualisation - Evolution of IT & Data Analytics

Flashcards12 cardsFPractice quizPHost liveL

Questions 12

Answers

1
Why do businesses use predictive analytics in data-driven decision-making?
To reduce the need for cybersecurity
To store large amounts of data efficiently
To replace human decision-making entirely
To predict future trends and improve decision-makin
2
How does edge computing improve data analytics in IoT applications?
It reduces data transmission costs
It replaces traditional data centers
It allows real-time data processing closer to the data source
It eliminates the need for cloud storage
3
What is one major disadvantage of 5G networks compared to fibre-optic networks?
Requires wired connections
Slower speeds
Limited range and signal interference
Higher data storage requirements
4
Which industry would benefit the most from GPU-accelerated big data analytics?
Healthcare
Retail
Agriculture
Hospitality
5
How do cloud storage services like AWS and Google BigQuery benefit businesses?
They replace the need for processing power
They provide scalable and remote access to large datasets
They are more expensive than maintaining local storage
They make data management more complex
6
Which technology has largely replaced traditional hard disk drives (HDDs) in modern computing?
Magnetic tapes
USB flash drives
Solid-state drives (SSDs)
Optical disks
7
What is the primary role of a CPU in computing?
Rendering high-resolution graphics
Transmitting data over networks
Storing large datasets
Managing and executing instructions in a computer system
8
What is a key advantage of GPUs over CPUs in big data analytics?
Ability to process multiple tasks in parallel
More affordable hardware
Lower power consumption
Faster serial processing
9
Which of the following best describes a data lake?
A small database optimized for quick searches
A system that replaces traditional data storage
A centralised repository for storing structured and unstructured data
A cloud-based computing environment
10
What is a major advantage of fibre-optic cables over traditional copper wiring?
Higher speed and bandwidth
Wider compatibility with older systems
Easier maintenance
Lower installation cost
11
What has enabled real-time data transmission and collaboration in modern enterprises?
Fibre-optic cables and 5G networks
4G networks
Satellite internet
Dial-up internet
12
Why are GPUs preferred for artificial intelligence (AI) applications?
They use less power than CPUs
They have better storage capabilities
They are optimised for parallel processing and large-scale computations
They are cheaper than CPUs