01. Candidate Registry

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02. Python Fundamentals

1. Which of the following is the correct way to define a function in Python?

A) function my_func(): B) def my_func():

2. What is the output of: print(type([]))?

A) <class 'list'> B) <class 'array'>

3. How do you start a loop that repeats 5 times?

A) for i in range(5): B) for (i=0; i<5; i++)

4. What is a 'Dictionary' in Python?

A) A collection of Key-Value pairs. B) A list of unique numbers only.

5. Which keyword is used to handle exceptions in Python?

A) try / except B) catch / throw

6. Which library is the standard for numerical computations and multi-dimensional arrays?

A) NumPy B) Matplotlib

7. In Machine Learning, 'Supervised Learning' means:

A) Training on a labeled dataset. B) The AI teaches itself without data.

8. What is the primary use of the 'Pandas' library?

A) Data manipulation and analysis (DataFrames). B) Creating 3D video games.

9. What does 'Overfitting' mean in a model?

A) The model performs great on training data but poorly on new data. B) The model is too small to process the data.

10. Which of these is a popular Deep Learning framework?

A) PyTorch B) Python-Standard-UI

11. Explain the difference between a 'List' and a 'Tuple' in Python:

12. Describe the purpose of a Virtual Environment (venv):

13. How does 'Tokenization' work in Natural Language Processing?

14. What is the role of an 'Activation Function' in a Neural Network?

15. Explain 'Fine-Tuning' versus 'Prompt Engineering':

16. Describe how to handle 'Null' or 'Missing' values in a Pandas DataFrame:

17. What is 'Reinforcement Learning' in the context of AI robotics?

18. Explain the importance of 'Feature Scaling' before training a model:

19. Describe the difference between 'Regression' and 'Classification':

20. How would you integrate an OpenAI API call into a Python script?

21. What are 'Embeddings' and how do they represent data mathematically?

22. Final Task: Outline a Python-based pipeline for an AI image-recognition system: