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Choose the best response for each of the questions below. Then select “Check your answers.”

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1.

What's the difference between AI, data science, and machine learning?

Machine learning is a technique where a machine sifts through data to find patterns over time. AI is an improved version of machine learning, thanks to LLMs. Data science is the field that makes it possible.

AI is computer's ability to mimic human-like behavior. Machine learning is a technique that uses algorithms to find patterns in data. Data science is a field that uses machine learning and statistics to achieve AI.

AI is computer's ability to mimic human-like behavior. Machine learning is AI applied to robotics. Data science is the field that prepares data so it can be used in AI projects.

2.

What AI-powered products could a salesperson with no coding or AI expertise use to improve sales?

Microsoft 365 and Microsoft Dynamics 365.

Microsoft 365 and Azure Machine Learning.

Microsoft 365, Microsoft Power Platform, and MLOps

3.

A manufacturing company that produces machinery wants to develop a solution to extract information from their internal technical documentation. The Chief Digital Officer wants to solve the problem with OpenAI's generative AI. Which option should be recommended for this use case?

OpenAI's API because it's better to consume the model from its source. This way, you benefit from most up-to-date AI.

Azure OpenAI Service because it doesn't compromise the company's internal documentation.

GitHub Copilot because it's already based on OpenAI's generative AI, and it's useful in helping write the code.

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