Quiz Part II
Questions
1. What is the primary role of session-based memory in a chatbot?
A) To store user login credentials
B) To allow the chatbot to return images
C) To retain context across multiple turns in a conversation
D) To transcribe voice notes automatically
2. Which OpenAI model is used for transcribing audio files?
A) GPT-4o
B) Codex
C) Whisper
D) DALL·E
3. In a Flask-based app using DALL·E, what’s the typical response format for receiving an image URL?
A) "base64"
B) "raw"
C) "json"
D) "url"
4. What function does GPT-4o serve when integrating voice and image workflows?
A) It only processes images.
B) It creates detailed scene prompts from transcribed text.
C) It stores long-term memory.
D) It compresses audio into image format.
5. When building a creator dashboard, which design principle helps most with clarity and usability?
A) Infinite scrolling
B) One large text box for all outputs
C) Clear sections for transcription, summaries, prompts, and images
D) Loading all responses in a pop-up
6. What is the purpose of separating code into utility modules like transcribe.py, summarize.py, and generate_image.py?
A) To make the app run faster
B) To reduce API costs
C) To improve maintainability and modularity
D) To avoid writing HTML
7. In your automation script, what prevents a file from being reprocessed multiple times?
A) Changing the file extension after processing
B) Saving a checksum to a log
C) Using a set to track processed files
D) Compressing the file afterward
8. What platform was recommended for deploying your multimodal dashboard with minimal setup?
A) AWS EC2
B) Firebase
C) Render
D) Heroku CLI only
9. Which of the following is NOT a best practice when deploying an OpenAI-powered app?
A) Committing your .env file to GitHub
B) Using python-dotenv to load secrets
C) Logging processing steps to a file
D) Setting token limits for image prompt length
10. Why is it valuable to automate your AI pipeline (e.g., Whisper → GPT → DALL·E) rather than wait for user input every time?
A) Automation reduces the model quality.
B) Automation ensures results are always random.
C) Automation enables scalable, continuous processing of new data.
D) Automation blocks user input until the pipeline ends.
Questions
1. What is the primary role of session-based memory in a chatbot?
A) To store user login credentials
B) To allow the chatbot to return images
C) To retain context across multiple turns in a conversation
D) To transcribe voice notes automatically
2. Which OpenAI model is used for transcribing audio files?
A) GPT-4o
B) Codex
C) Whisper
D) DALL·E
3. In a Flask-based app using DALL·E, what’s the typical response format for receiving an image URL?
A) "base64"
B) "raw"
C) "json"
D) "url"
4. What function does GPT-4o serve when integrating voice and image workflows?
A) It only processes images.
B) It creates detailed scene prompts from transcribed text.
C) It stores long-term memory.
D) It compresses audio into image format.
5. When building a creator dashboard, which design principle helps most with clarity and usability?
A) Infinite scrolling
B) One large text box for all outputs
C) Clear sections for transcription, summaries, prompts, and images
D) Loading all responses in a pop-up
6. What is the purpose of separating code into utility modules like transcribe.py, summarize.py, and generate_image.py?
A) To make the app run faster
B) To reduce API costs
C) To improve maintainability and modularity
D) To avoid writing HTML
7. In your automation script, what prevents a file from being reprocessed multiple times?
A) Changing the file extension after processing
B) Saving a checksum to a log
C) Using a set to track processed files
D) Compressing the file afterward
8. What platform was recommended for deploying your multimodal dashboard with minimal setup?
A) AWS EC2
B) Firebase
C) Render
D) Heroku CLI only
9. Which of the following is NOT a best practice when deploying an OpenAI-powered app?
A) Committing your .env file to GitHub
B) Using python-dotenv to load secrets
C) Logging processing steps to a file
D) Setting token limits for image prompt length
10. Why is it valuable to automate your AI pipeline (e.g., Whisper → GPT → DALL·E) rather than wait for user input every time?
A) Automation reduces the model quality.
B) Automation ensures results are always random.
C) Automation enables scalable, continuous processing of new data.
D) Automation blocks user input until the pipeline ends.
Questions
1. What is the primary role of session-based memory in a chatbot?
A) To store user login credentials
B) To allow the chatbot to return images
C) To retain context across multiple turns in a conversation
D) To transcribe voice notes automatically
2. Which OpenAI model is used for transcribing audio files?
A) GPT-4o
B) Codex
C) Whisper
D) DALL·E
3. In a Flask-based app using DALL·E, what’s the typical response format for receiving an image URL?
A) "base64"
B) "raw"
C) "json"
D) "url"
4. What function does GPT-4o serve when integrating voice and image workflows?
A) It only processes images.
B) It creates detailed scene prompts from transcribed text.
C) It stores long-term memory.
D) It compresses audio into image format.
5. When building a creator dashboard, which design principle helps most with clarity and usability?
A) Infinite scrolling
B) One large text box for all outputs
C) Clear sections for transcription, summaries, prompts, and images
D) Loading all responses in a pop-up
6. What is the purpose of separating code into utility modules like transcribe.py, summarize.py, and generate_image.py?
A) To make the app run faster
B) To reduce API costs
C) To improve maintainability and modularity
D) To avoid writing HTML
7. In your automation script, what prevents a file from being reprocessed multiple times?
A) Changing the file extension after processing
B) Saving a checksum to a log
C) Using a set to track processed files
D) Compressing the file afterward
8. What platform was recommended for deploying your multimodal dashboard with minimal setup?
A) AWS EC2
B) Firebase
C) Render
D) Heroku CLI only
9. Which of the following is NOT a best practice when deploying an OpenAI-powered app?
A) Committing your .env file to GitHub
B) Using python-dotenv to load secrets
C) Logging processing steps to a file
D) Setting token limits for image prompt length
10. Why is it valuable to automate your AI pipeline (e.g., Whisper → GPT → DALL·E) rather than wait for user input every time?
A) Automation reduces the model quality.
B) Automation ensures results are always random.
C) Automation enables scalable, continuous processing of new data.
D) Automation blocks user input until the pipeline ends.
Questions
1. What is the primary role of session-based memory in a chatbot?
A) To store user login credentials
B) To allow the chatbot to return images
C) To retain context across multiple turns in a conversation
D) To transcribe voice notes automatically
2. Which OpenAI model is used for transcribing audio files?
A) GPT-4o
B) Codex
C) Whisper
D) DALL·E
3. In a Flask-based app using DALL·E, what’s the typical response format for receiving an image URL?
A) "base64"
B) "raw"
C) "json"
D) "url"
4. What function does GPT-4o serve when integrating voice and image workflows?
A) It only processes images.
B) It creates detailed scene prompts from transcribed text.
C) It stores long-term memory.
D) It compresses audio into image format.
5. When building a creator dashboard, which design principle helps most with clarity and usability?
A) Infinite scrolling
B) One large text box for all outputs
C) Clear sections for transcription, summaries, prompts, and images
D) Loading all responses in a pop-up
6. What is the purpose of separating code into utility modules like transcribe.py, summarize.py, and generate_image.py?
A) To make the app run faster
B) To reduce API costs
C) To improve maintainability and modularity
D) To avoid writing HTML
7. In your automation script, what prevents a file from being reprocessed multiple times?
A) Changing the file extension after processing
B) Saving a checksum to a log
C) Using a set to track processed files
D) Compressing the file afterward
8. What platform was recommended for deploying your multimodal dashboard with minimal setup?
A) AWS EC2
B) Firebase
C) Render
D) Heroku CLI only
9. Which of the following is NOT a best practice when deploying an OpenAI-powered app?
A) Committing your .env file to GitHub
B) Using python-dotenv to load secrets
C) Logging processing steps to a file
D) Setting token limits for image prompt length
10. Why is it valuable to automate your AI pipeline (e.g., Whisper → GPT → DALL·E) rather than wait for user input every time?
A) Automation reduces the model quality.
B) Automation ensures results are always random.
C) Automation enables scalable, continuous processing of new data.
D) Automation blocks user input until the pipeline ends.