DTF AI ML DL

Quiz
•
Education
•
Professional Development
•
Hard
Andrew Yap
Used 1+ times
FREE Resource
8 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary goal of Artificial Intelligence (AI)?
Mimicking human behavior
Analyzing data patterns
Enhancing machine learning algorithms
Creating virtual worlds
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In which of the following scenarios is Machine Learning (ML) most commonly applied?
Rule-based decision systems
Learning from experience and data
Mimicking human intelligence
Creating virtual environments
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What distinguishes Deep Learning (DL) from traditional Machine Learning?
Relies on rule-based systems
Involves neural networks with many layers
Focuses on symbolic reasoning
Uses decision trees for classification
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is a real-world example of an Artificial Intelligence (AI) application?
Image recognition in a facial recognition system
Credit scoring in a bank
Predictive text suggestions on a smartphone
Crop monitoring in agriculture
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is a common application of Machine Learning (ML) in the finance industry?
Autonomous vehicles
Algorithmic trading
Natural language processing
Virtual personal assistants
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Where is Deep Learning (DL) commonly used for image recognition?
Predictive maintenance in manufacturing
Fraud detection in finance
Facial recognition systems
Chatbots in customer service
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is Machine Learning (ML) commonly applied in healthcare for predictive analytics?
Analyzing user behavior on streaming platforms
Predicting equipment failures in manufacturing
Forecasting patient outcomes and identifying health risks
Creating personalized content recommendations
8.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is Deep Learning (DL) different from Artificial Intelligence (AI) and Machine Learning (ML)?
Uses rules for decision-making
Tries to act like humans
Works with deep neural networks
Depends on symbolic reasoning
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