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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of data acquisition in AI projects?
💡 Hint: Think about what data helps you build AI models.
Question 2
Easy
Name two types of data.
💡 Hint: What formats can data take?
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
Why is data acquisition important in AI?
- To collect irrelevant data
- To gather required data for training
- To avoid using data
💡 Hint: Consider the role of data in building AI.
Question 2
True or False: Unstructured data is always easier to analyze than structured data.
- True
- False
💡 Hint: Think about how data format affects analysis.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Design a data acquisition plan for an AI project targeting climate change analysis. What data sources would you include and why?
💡 Hint: Think about different types of data that can help inform climate change predictions.
Question 2
Analyze the impact of using poor-quality data in training an AI model for face recognition. What could be the consequences?
💡 Hint: Consider the reliability and fairness of AI models influenced by the quality of their training data.
Challenge and get performance evaluation