Practice Ml Pipeline In Iot: From Data Collection To Deployment (1) - Chapter 6: AI and Machine Learning in IoT

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9 questions

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2 cards from this section. Quick, good the night before a test.
Exercise
6 questions · about 4 min · pass mark 70%. Hints available.
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Quiz
3 questions · about 2 min · pass mark 70%. Hints available.
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6 sample questions

Question 1.
What is data collection in the context of IoT?
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Think about how sensors track information.
Question 2.
Name one challenge associated with raw IoT data.
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Consider the types of errors sensors might produce.
3Question 3.
What is the primary goal of data preprocessing?
- To collect data
- To clean and prepare raw data
- To deploy models
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Consider what happens if raw data is used directly.
4Question 4.
True or False: Edge deployment requires a constant internet connection.
- True
- False
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Think about how local devices work.
Question 5.
Create a flowchart that outlines the steps from data collection to deployment in the ML pipeline.
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Think about how each step leads to the next.
Question 6.
Analyze a scenario where edge AI would be preferable over cloud computing for vehicle monitoring.
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Consider environments where speed is critical.

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