Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However your team doesn't have access to all the data it needs. What's the best course of action?

• A.Move ahead as planned and hope you get access to the data once you need it. Since you're using an iterative approach you can always go back to steps as needed later on.
• B.Cautiously move forward knowing you may need to pause mid-project which is ok.
• C.Move ahead as planned so you stay on time with your project.
• D.Do not move forward until you have access to all the data you need.

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Your team has been asked to summarize and highlight patterns in historical purchasing data, identifying prior performance metrics and patterns. What type of analytics is most appropriate to apply for this need?

• A.Descriptive Analytics
• B.Predictive Analytics
• C.Diagnostic Analytics
• D.Projective Analytics

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You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique.
What is this technique called?

• A.Reinforcement Learning
• B.Generative AI
• C.Transfer Learning
• D.Pre-Trained Models

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