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CBSE Class 10 AI Project Cycle Practice Test
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Avg score: 41% • Most missed: “Data features refer to ________.”

Project Cycle is a step-by-step process to solve problems using proven scientific methods and drawing inferences about them.

The AI Project Cycle mainly has 5 stages. Problem Scoping; Data Acquisition; Data Exploration; Modelling; Evaluation.

CBSE Class 10 AI Project Cycle Practice Test
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25 Questions

1. ______________ approach introduces the dynamicity in the AI model.
2. Humans are able to visualise up to _____________
3. Which of the following is an open-sourced government portals?
4. Which of the following is visual representation of data?
5. In ______________ block of 4W, we need to focus on the context/situation/location of the problem.
6. Type of Unsupervised learning models is _____
7. Data features refer to ________.
8. Which of the following parameter is used to calculate the efficiency of the model?
9. Aman have a random data of 1000 dog images. He wish to understand some pattern out of it, so he would feed this data into the ______ and would train the machine on it.
10. _____________ is the last ‘W’ in 4W Problem Canvas.
11. Ways by which you can collect data for your AI Project is _____
12. Aman want to make an Artificially Intelligent system which can predict the salary of any employee based on his previous salaries. He has to feed the data of his previous salaries. This is the data with which the machine can be trained. The previous salary data here is known as ____________ while the next salary prediction data set is known as the ___________
13. ________________ type of supervised learning model works on discrete dataset which means the data need not be continuous.
14. In ___________ approach we fed the data along with rules to the machine and the machine after getting trained on them is now able to predict answers for the same.
15. The job of an input layer in Neural network is _______
16. In a ___________ learning model, the dataset which is fed to the machine is labelled.
17. In neural network, the whole processing occurs in ______
18. There can be multiple hidden layers in a neural network system.
19. In neural network, no processing occurs in ______
20. Supervised Learning is the sub category of ____________
21. A Neural Network is divided into multiple layers and each layer is further divided into several blocks called _________
22. The _________ hidden layer passes the final processed data to the output layer which then gives it to the user as the final output.
23. ________ means that the data which is fed to the machine is random and there is a possibility that the person who is training the model does not have any information regarding it.
24. Which of the following is a correct feature of a Neural Network?
25. Sonal wants to identify relationships, patterns and trends out of the random data. Which of the following learning model is suitable for her?

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