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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is data collection in IoT?
💡 Hint: Think about what types of data the devices collect.
Question 2
Easy
Name one method of data preprocessing.
💡 Hint: Consider how we treat messy data.
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
What is not a type of data collected from IoT devices?
- Numerical
- Categorical
- Abstract
- Visual
💡 Hint: Consider what types of data are specifically addressed in IoT.
Question 2
True or False: Concept drift results in improved model accuracy over time.
- True
- False
💡 Hint: Think about whether changes in the environment can make predictions less accurate.
Solve 1 more question and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
A smart factory observes strange vibrations from machines, but the initial data was highly noisy. How could data preprocessing help in this situation?
💡 Hint: Think about how cleaning data can impact the clarity of information.
Question 2
Discuss how to monitor a deployed ML model in an IoT system and address any concept drift that might occur.
💡 Hint: Consider the importance of real-time feedback and adjustments.
Challenge and get performance evaluation