WorksheetsIT Day Webinar 1
Total questions: 13
Worksheet time: 4mins
What does P2P stand for?
Password to Password
Peer to Peer
Product to Product
Private Key to Public Key
What is a node?
A type of cryptocurrency
A Blockchain
A computer on a Blockchain network
An exchange
What is a blockchain?
A distributed ledger on a peer to peer network
A type of cryptocurrency
An exchange
A centralized ledger
What characteristic makes blockchain tamper-proof?
VPN
Immutability
Cryptocurrency
Servers
Once records are submitted on a blockchain, can they be altered?
Yes – the parties can go back in and alter them at any time.
Yes – but only within a certain time frame.
No – they cannot be altered.
Sometimes - Depending on the Blockchain
What is the impact of information leak for an organization?
Loss in profit
Loss of trust for customers
Cut down the reputation of the organization
All of these
What does 5G stand for?
Five gigabytes
Fifth gateway
Five gigabit
Fifth generation wireless
5G will offer latency of one millisecond or lower. What does latency refer to?
The time it takes to reboot a connection
The length of time devices will automatically connect to the network
The delay between an input and a desired outcome
The speed of detecting a disruption to the network
To generate high speeds, 5G utilizes the band of spectrum between 30 GHz and 300 GHz. What is this band of spectrum called?
Millimeter wave
Lower-frequency spectrum
Real-time spectrum
Radio-frequency band
What will be affected by the emergence of 5G Networks.
Remote Surgery will be possible.
Better connections for rural and remote areas.
Self-Driving Cars may be able to communicate in Real Time.
All of the above.
What is a common use of Machine-Learning
Email Filtering
Personalized Marketing
Recommendation Engines like Spotify
All of the Above
In Machine Learning
The computer finds new information and learns it.
The computer is fed data and learns by recognizing patterns.
The computer finds new information and learns by memory.
All of the Above.
Machine Learning requires no human input.
True. Machines learn on their own.
False. Machines need to be fed data.
False. Machines need to be fed data and corrected when they are wrong.
False. Machines are incapable of learning.
