Practice Data Acquisition (7.2.2) - AI Project Cycle - CBSE 11 AI (Artificial Intelligence)

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9 questions

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6 sample questions

Question 1.
What is the purpose of data acquisition in AI projects?
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Think about what data helps you build AI models.
Question 2.
Name two types of data.
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What formats can data take?
3Question 3.
Why is data acquisition important in AI?
- To collect irrelevant data
- To gather required data for training
- To avoid using data
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Consider the role of data in building AI.
4Question 4.
True or False: Unstructured data is always easier to analyze than structured data.
- True
- False
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Think about how data format affects analysis.
Question 5.
Design a data acquisition plan for an AI project targeting climate change analysis. What data sources would you include and why?
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Think about different types of data that can help inform climate change predictions.
Question 6.
Analyze the impact of using poor-quality data in training an AI model for face recognition. What could be the consequences?
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Consider the reliability and fairness of AI models influenced by the quality of their training data.

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