
Exploring Modern Artificial Intelligence
Quiz
•
Computers
•
12th Grade
•
Practice Problem
•
Hard
Dr. Mudassir
FREE Resource
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10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What is a common application of machine learning in finance?
Credit scoring
Loan approval
Risk assessment
Algorithmic trading
2.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
How does natural language processing enhance customer service?
Natural language processing is primarily used for data storage and retrieval in customer service.
Natural language processing improves customer service through automated responses, sentiment analysis, and insights for service enhancement.
Natural language processing eliminates the need for customer service representatives.
Natural language processing only focuses on grammar correction in customer interactions.
3.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What are the ethical concerns associated with AI bias?
AI bias raises ethical concerns related to fairness, discrimination, accountability, and transparency.
AI bias ensures accountability in decision-making.
AI bias promotes equality and inclusion.
AI bias has no impact on transparency.
4.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
Which technique is commonly used in computer vision for object detection?
Principal Component Analysis (PCA)
K-means Clustering
Convolutional Neural Networks (CNNs)
Support Vector Machines (SVMs)
5.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
How do robots improve efficiency in manufacturing?
Robots primarily focus on aesthetic improvements in products.
Robots enhance manufacturing efficiency through automation, precision, speed, and continuous operation.
Robots reduce the need for skilled labor in manufacturing.
Robots are mainly used for packaging and shipping finished goods.
6.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
In what ways is AI transforming patient diagnosis in healthcare?
AI eliminates all diagnostic errors
AI solely relies on patient self-reports
AI enhances diagnostic accuracy, enables early disease detection, and supports clinical decision-making.
AI reduces the need for medical professionals
7.
MULTIPLE CHOICE QUESTION
10 sec • 1 pt
What role does supervised learning play in machine learning applications?
Supervised learning does not require any data for model training.
Supervised learning enables models to learn from labeled data to make predictions on new data.
Supervised learning uses only unlabelled data for training models.
Supervised learning is primarily used for clustering data points.
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