
AIDC - Unit 1
Quiz
•
Instructional Technology
•
Professional Development
•
Hard
Anon Ymous
Used 2+ times
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30 questions
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1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary role of data curation in the development of self-driving car software, according to the document?
Ensuring data quality and relevance for training AI models.
Collecting and storing large amounts of driving data.
Developing labeling systems for identifying objects and events.
Building simulation environments for testing self-driving cars.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the three main components of the NVIDIA DRIVE AV software stack mentioned in the document?
Data collection, data processing, and decision making.
Perception, mapping, and planning.
Sensor fusion, localization, and control.
Computer vision, natural language processing, and robotics.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What potential benefit of autonomous vehicles does the document highlight?
Reduced demand for public transportation.
Decreased personal responsibility in driving.
Increased safety and efficiency in transportation.
Job losses in the transportation sector.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which company is mentioned as using AI to improve fraud detection in financial transactions?
JP Morgan Chase
Paypal
Visa
Mastercard
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following is NOT one of the three main AI use cases highlighted in the document?
Healthcare
Education
Transportation
Finance
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary difference between Machine Learning (ML) and Deep Learning (DL) according to the document?
ML is used for prediction, while DL is used for classification.
ML requires labeled data, while DL can learn from unlabeled data.
ML uses rule-based algorithms, while DL uses neural networks.
There is no difference; they are synonyms.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
According to the document, how can AI be used to monitor the safety and efficacy of drugs after they have been released to the market?
By analyzing social media and online forums for patient feedback.
By conducting large-scale clinical trials after drug release.
By tracking real-world data and identifying potential adverse effects.
By developing new methods for drug testing and approval.
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