Quiz 5 – What It Takes to Implement An AI Project? (8 Questions)

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Question 1 of 8

1. Question
Q1. The prediction output of your AI Model depends on the problem that you would like to solve and the solution proposal defined in your AI project plan. For example, an AI Model is trained to predict outputs of “good” and “bad” tomatoes.
- True
- False
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Question 2 of 8

2. Question
Q2. Please arrange accordingly from top to bottom the simplified process of implementing an AI project. (Drag the answers to move them around)
- Define the problem statement.
- AI Model Continuous improvement.
- The making of an AI Model.
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Question 3 of 8

3. Question
Q3. Which of the following statement is not true?
- The final stage of an AI project is to make continuous improvement of the trained AI Model.
- Continuous improvement of an AI Model is a vital process in any AI project as it usually takes many rounds of trial and errors, before an AI model is good enough for a real-life deployment.
- Deployment of a not-so-well-trained AI Model for critical applications such as the self-driving car is completely fine and acceptable.
- The prediction accuracy of 90% means that there will be 10 cases of wrong prediction in 100 predictions made by the AI Model.
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Question 4 of 8

4. Question
Q4. Let’s say that you would like to build an AI Model to predict the price of houses. What are the input data or specific features that you should collect? (Your answers can be more than one)
- Number of rooms in the house
- Name of the next door neighbours
- Size of the house
- Location
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Question 5 of 8

5. Question
Q5. Which of the following statement is not true?
- The prediction accuracy of the AI Model only depends on the quality of the Input – Output pairs provided for the training of the AI Model.
- In Supervised Learning, you need to show the system a lot of examples of both Input X and Output Y in order to train an accurate AI Model.
- Given Input X, Predict Output Y. In AI or ML, we call this method of solving the problem, the Supervised Learning method.
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Question 6 of 8

6. Question
Q6. AI project problem statement: I would like to predict Output Y based on the Input X of the object because I think Output Y is ______to the Input X of the Object or matter.
- Weakly correlated
- Strongly correlated
- Not related
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Question 7 of 8

7. Question
Q7. Please arrange accordingly the correct sequence of the AI Process Framework – (SLP)2. (Drag your answers to move them around)
- Prediction
- Storage
- Sensing
- Label
- Learn
- Put into Action
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Question 8 of 8

8. Question
Q8. L stands for Labeling of Data and Data Pre-Processing.
Select all the most common processes for data labeling & pre-processing. (Your answers can be more than one)
- Labeling of Output Y (the correct answer)
- Eliminate or Re-build missing data
- Cleaning of error data
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Quiz 5 – What It Takes to Implement An AI Project? (8 Questions)

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