Final Quiz - Safera

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Question 1 of 20

1. Question
What is the primary goal of prompt engineering with OpenAI GPT?
- To train the model
- To create specific instructions for accurate responses
- To improve internet connectivity
- To design a user-friendly interface
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Question 2 of 20

2. Question
Which parameter controls the randomness of responses in the model?
- Temperature = 1
- Maximum Length = 0
- Presence Penalty = 0
- Temperature = 0
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Question 3 of 20

3. Question
What should you do if you encounter a token limit error?
- Ignore it and proceed
- Reduce the number of prompt iterations
- Subtract input message tokens from the maximum token limit and update the "Maximum Length"
- Restart your computer
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Question 4 of 20

4. Question
Which part of a prompt typically contains specific instructions to generate a desired response?
- Model selection
- System content
- User content
- Token limit
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Question 5 of 20

5. Question
How can you fine-tune your prompt engineering techniques over time?
- By using any prompt
- By refining your prompts and instructions through experimentation
- By avoiding the OpenAI Playground
- By selecting different models
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Question 6 of 20

6. Question
Which of the following commands in Google Colab is used to mount your Google Drive for accessing and saving files?
- !mount google_drive
- !drive mount
- gdrive connect
- from google.colab import drive drive.mount('/content/drive')
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Question 7 of 20

7. Question
What does the Python docx library allow you to do?
- Create and edit Word documents
- Create and edit Excel spreadsheets
- Manipulate image files
- Generate PDF documents
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Question 8 of 20

8. Question
Which method in the docx library is used to add a paragraph to a Word document?
- add_paragraph()
- add_text()
- insert_paragraph()
- create_paragraph()
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Question 9 of 20

9. Question
How can you set the font size of a paragraph in a Word document using the docx library?
- paragraph.font.size = …
- paragraph.set_font_size(…)
- paragraph.add_font_size(…)
- paragraph.style.set_font_size(…)
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Question 10 of 20

10. Question
Which of the following is true about Google Colab notebooks?
- They can only be accessed and edited on a local machine.
- They are stored in your Google Drive and can be shared with others.
- They require a paid subscription to use.
- They can only run on Windows operating systems.
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Question 11 of 20

11. Question
What is the purpose of a “run” in the context of the docx library?
- It represents a sequence of characters with the same style
- It is used to run the script that generates the document
- It defines a paragraph's indentation level
- It signifies a special formatting applied to the entire document
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Question 12 of 20

12. Question
In the docx library, what method can be used to insert an image into a Word document?
- insert_image()
- add_image()
- add_picture()
- insert_picture()
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Question 13 of 20

13. Question
What is the purpose of a kernel in an IPython notebook?
- It determines the programming language used in the notebook
- It serves as the computational engine that executes code cells
- It defines the visual appearance and layout of the notebook
- It provides a version control system for the notebook
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Question 14 of 20

14. Question
What is the role of “temperature” in controlling the randomness of responses generated by OpenAI GPT?
- It adjusts the model's understanding of the prompt.
- It controls the length of the response.
- It influences the creativity of the model's output.
- It changes the model architecture.
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Question 15 of 20

15. Question
Which parameter should you adjust to control the balance between specificity and creativity in the model’s responses?
- Maximum Length
- Presence Penalty
- Temperature
- System" message length
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Question 16 of 20

16. Question
How can you use the “System” message in a prompt to improve the clarity of instructions to the model?
- By including technical jargon and abbreviations
- By making it longer than the "User" message
- By specifying the format and desired output
- By removing it entirely
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Question 17 of 20

17. Question
What can happen if you set the “Maximum Length” parameter to a value smaller than the actual response length in prompt engineering?
- The model will return an error.
- The response will be cut off.
- The model will generate a longer response.
- The "Temperature" parameter will be ignored.
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Question 18 of 20

18. Question
When creating prompts for OpenAI GPT, why is it essential to carefully consider the wording and phrasing of instructions?
- To control the token limit
- To maximize the length of responses
- To optimize the "Presence Penalty"
- To achieve the desired response quality
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Question 19 of 20

19. Question
In the context of text generation with OpenAI models, which of the following statements is true regarding Top P, Frequency Penalty, and Stop Sequence?
- Top P controls the randomness of output, Frequency Penalty discourages word repetition, and Stop Sequence signals the end of a response.
- Top P encourages word repetition, Frequency Penalty controls output randomness, and Stop Sequence determines the initial words of a response.
- Top P determines the initial words of a response, Frequency Penalty controls output randomness, and Stop Sequence discourages word repetition.
- Top P controls the randomness of output, Frequency Penalty determines the initial words of a response, and Stop Sequence signals the end of a document.
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Question 20 of 20

20. Question
In the context of AI language models, which term refers to the specific way the model operates and generates responses?
- Model
- Mode
- Temperature
- System
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