CPMAI_v7: Cognitive Project Management in AI CPMAI v7 - Training & Certification Enough Practice Questions

The growth of Big Data has led to a desire to be able to do more to process and extract more value from Big Data. Simply storing data and providing analytics is no longer enough anymore to remain competitive. To keep your organization competitive, you need to:

• AA. Make sure the technical team has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
• BB. Make sure senior management has deep understanding of big data and how best to extract value from big data to unleash it for competitive advantage.
• CC. Make sure all senior leadership is data literate, understands the V's of big data, data's connections to your specific team, and how to extract value from big data to unleash it for competitive advantage.
• DD. Make sure everyone on the team has an understanding of data, its connections to the organization, and how to extract value from big data to unleash it for competitive advantage.

- [Data for AI] You are working with a dataset that has a high number of dimensions. You're running into issues because some dimensions don't have enough real examples to properly train the systems for predictable results. What's your best course of action?

• AA. Keep going as planned and the problem will eventually correct itself
• BB. Try to get additional data - at least 5 training examples for each dimension in the representation
• CC. Try to get additional information from project lead to see how many examples per dimension are needed
• DD. Try to improve the quality of your data through more preparation