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4. Question No. 1 Machine learning is best described as a type of algorithm by which? A. Systems can mimic human intelligence with the goal of replacing humans. B. Systems can automatically improve from experience through predictive patterns. C. Statistical inferences are drawn from a sample with the goal of predicting human intelligence. D. Previously unknown properties are discovered in data and used to predict and make improvements in the data. Answer: B Question No. 2 You asked a generative Al tool to recommend new restaurants to explore in Boston, Massachusetts that have a specialty Italian dish made in a traditional fashion without spinach and wine. The generative Al tool recommended five restaurants for you to visit. After looking up the restaurants, you discovered one restaurant did not exist and two others did not have the dish. This information provided by the generative Al tool is an example of what is commonly called? A. Prompt injection. B. Model collapse. C. Hallucination. D. Overfitting. Answer: C Question No. 3 Each of the following actors are typically engaged in the Al development life cycle EXCEPT? A. Data architects. B. Government regulators. C. Socio-cultural and technical experts. D. Legal and privacy governance experts. Answer: B Question No. 4 A company is working to develop a self-driving car that can independently decide the appropriate route to take the driver after the driver provides an address. If they want to make this self-driving car ''strong'' Al, as opposed to "weak,'' the engineers would also need to ensure? A. That the Al has full human cognitive abilities that can independently decide where to take the driver. B. That they have obtained appropriate intellectual property (IP) licenses to use data for training the Al.

5. D. That the Al has strong cybersecurity to prevent malicious actors from taking control of the car. D. That the Al can differentiate among ethnic backgrounds of pedestrians. Answer: A Question No. 5 Which of the following is NOT a common type of machine learning? A. Deep learning. B. Cognitive learning. C. Unsupervised learning. D. Reinforcement learning. Answer: B

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