AI and technology- quiz
Quiz
•
Professional Development
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Professional Development
•
Practice Problem
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Easy
Bhoomika Tejwani
Used 2+ times
FREE Resource
Enhance your content in a minute
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
10 sec • 5 pts
Which of these is an example of a personal AI assistant?
Excel
Google Assistant
Adobe Photoshop
Spotify
2.
MULTIPLE CHOICE QUESTION
10 sec • 5 pts
What does the term “deep learning” refer to in AI?
A type of machine learning that mimics the structure of the human brain
A way to increase computer processing speed
An algorithm for sorting internet search results
A type of language translation tool
3.
MULTIPLE CHOICE QUESTION
10 sec • 5 pts
How does machine learning differ from traditional programming?
How does machine learning differ from traditional programming?
It requires manual coding for every step
It can find patterns and make predictions based on data
It requires no data at all
It only works for computer graphics
4.
MULTIPLE CHOICE QUESTION
10 sec • 5 pts
What is the primary purpose of natural language processing (NLP) in AI?
To enable machines to understand and interpret human language
To improve the speed of data processing
To create visual representations of data
To enhance audio quality in recordings
5.
MULTIPLE CHOICE QUESTION
10 sec • 5 pts
What role does data play in the effectiveness of AI applications?
Data is irrelevant to machine learning
More data generally leads to better model performance
Data only needs to be collected once
Data quality does not affect outcomes
6.
MULTIPLE CHOICE QUESTION
10 sec • 5 pts
How can AI contribute to environmental sustainability?
How can AI contribute to environmental sustainability?
By promoting increased paper usage
By optimizing energy usage, monitoring pollution, and aiding in climate research
By increasing plastic production
By making transportation more expensive
7.
MULTIPLE CHOICE QUESTION
10 sec • 5 pts
How does AI aid in financial risk management?
A) By increasing transaction fees
B) By analyzing vast amounts of data to predict and mitigate financial risks
C) By restricting access to online banking
By controlling stock prices
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