Gyansetu Team 
Are you preparing for a generative AI certification exam or looking to enhance your knowledge of this transformative technique?
Look no further!
This article presents more than 70 crafted multiple-choice questions on generative AI.
Q1. What does the “Generative” word refer to in Generative AI?
a) Destructive processing
b) Data cleansing
c) Creation of new content
d) Data storage
Answer: c) Creation of new content
Q2. Which of the following is a popular Generative AI model?
a) Decision Tree
b) K-Means
c) GPT-4
d) Apriori
Answer: c) GPT-4
Q3. Which company developed GPT models?
a) Apple
b) OpenAI
c) Google
d) Facebook
Answer: b) OpenAI
Q4. What type of data is typically used to train generative models?
a) Only numerical
b) Structured data
c) Unstructured data
d) Encrypted data
Answer: c) Unstructured data
Q5. Which technique is often used in generative art creation?
a) Regression
b) GANs
c) Linear models
d) SVM
Answer: b) GANs
Q6. What does GAN stand for?
a) General AI Network
b) Generative Adversarial Network
c) Generic Activation Node
d) Gradient Aggregation Network
Answer: b) Generative Adversarial Network
Q7. Which is a text-to-image generative model?
a) DALL·E
b) BERT
c) SVM
d) CNN
Answer: a) DALL·E
Q8. What are Variational Auto-encoders used for?
a) Prediction
b) Regression
c) Content Generation
d) Data classification
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Answer: c) Content Generation
Q9. Which loss function is key in GANs?
a) Mean squared error
b) Binary cross-entropy
c) Hinge loss
d) Euclidean loss
Answer: b) Binary cross-entropy
Q10. What are the two parts of a GAN?
a) Classifier and Clusterer
b) Generator and Discriminator
c) Predictor and Analyzer
d) Encoder and Decoder
Answer: b) Generator and Discriminator
Q11. What type of network is GPT based on?
a) RNN
b) CNN
c) Transformer
d) SVM
Answer: c) Transformer
Q12. What does a Discriminator do in GANs?
a) Creates new data
b) Deletes old data
c) Evaluates generated data
d) Trains the generator
Answer: c) Evaluates generated data
Q13. What is the role of a Generator in GANs?
a) Filters noisy data
b) Generates fake data
c) Compares models
d) Performs feature selection
Answer: b) Generates fake data
Q14. Which model is known for generating realistic human text?
a) Random Forest
b) GPT-4
c) Logistic Regression
d) ResNet
Answer: b) GPT-4
Q15. A key advantage of transformers over RNNs is:
a) Better for video editing
b) Faster training due to parallelism
c) Need more data
d) Smaller model size
Answer: b) Faster training due to parallelism
Q16. Which model is used in ChatGPT?
a) RNN
b) CNN
c) Transformer (GPT)
d) BERT
Answer: c) Transformer (GPT)
Q17. What type of tasks are generative models best suited for?
a) Classification
b) Content generation
c) Sorting
d) Clustering
Answer: b) Content generation
Q18. Stable Diffusion is used for:
a) Language translation
b) Image classification
c) Image generation
d) Noise reduction
Answer: c) Image generation
Q19. In VAEs, what do the encoder and decoder do?
a) Compress and decompress data
b) Visualize data
c) Predict labels
d) Filter outliers
Answer: a) Compress and decompress data
Q20. What is the main difference between GANs and VAEs?
a) GANs are supervised
b) VAEs are used for classification
c) GANs involve adversarial training
d) VAEs use discriminators
Answer: c) GANs involve adversarial training
Q21. Which industry benefits the most from text generation?
a) Agriculture
b) Publishing
c) Construction
d) Mining
Answer: b) Publishing
Q22. Generative AI in music is used to:
a) Mix albums
b) Compose original songs
c) Track sales
d) Auto-tune vocals
Answer: b) Compose original songs
Q23. One of the first AI image generators was:
a) AutoML
b) DeepDream
c) Hadoop
d) R-CNN
Answer: b) DeepDream
Q24. Which tool uses AI for generating code from text prompts?
a) IntelliJ
b) Jupyter
c) GitHub Copilot
d) Tableau
Answer: c) GitHub Copilot
Q25. AI-generated faces are created using:
a) CNNs
b) GANs
c) Decision Trees
d) KNN
Answer: b) GANs
Q26. Which AI tool helps in writing essays?
a) Google Docs
b) Grammarly
c) Jasper AI
d) Notepad++
Answer: c) Jasper AI
Q27. What is a practical use of ChatGPT in education?
a) Grading assignments
b) Predicting student scores
c) Answering queries in natural language
d) Tracking attendance
Answer: c) Answering queries in natural language
Q28. Which business area is most impacted by AI-generated reports?
a) HR
b) Sales
c) Finance
d) Reporting and Analytics
Answer: d) Reporting and Analytics
Q29. Generative AI is often used in:
a) Creating marketing content
b) Manual data entry
c) Traditional banking
d) Security camera footage
Answer: a) Creating marketing content
Q30. Which format can be generated using DALL·E?
a) CSV
b) Image
c) PDF
d) DOCX
Answer: b) Image
Q31. What is a major ethical concern associated with Generative AI?
a) High energy consumption
b) Job automation
c) Creation of deepfakes and misinformation
d) Data storage limitations
Answer: c) Creation of deepfakes and misinformation
Q32. Which issue arises due to biased training data in Generative AI?
a) Memory leak
b) Overfitting
c) Biased outputs
d) GPU overheating
Answer: c) Biased outputs
Q33. Deepfakes are generated using which technology?
a) Decision Trees
b) GANs
c) CNNs
d) Linear Regression
Answer: b) GANs
Q34. One of the social impacts of generative AI is:
a) Increasing manual labor
b) Reducing creativity
c) Job displacement
d) Improving fuel efficiency
Answer: c) Job displacement
Q35. What is required to ensure the responsible use of generative AI?
a) Free access
b) No regulations
c) Ethical guidelines
d) Code obfuscation
Answer: c) Ethical guidelines
Q36. Generative AI can contribute to misinformation by:
a) Sorting data
b) Producing fake news articles
c) Compressing videos
d) Deleting spam emails
Answer: b) Producing fake news articles
Q37. What is a possible misuse of AI in media?
a) Auto-captioning
b) AI-powered editing
c) Synthetic voice cloning
d) Noise cancellation
Answer: c) Synthetic voice cloning
Q38. A common fear around Generative AI is:
a) Its use in agriculture
b) Replacing calculators
c) Replacing human creativity
d) Improving UX design
Answer: c) Replacing human creativity
Q39. Which term describes AI content that looks convincingly human-made but is fake?
a) Simulated reality
b) Deepfake
c) Data hallucination
d) Auto-annotation
Answer: b) Deepfake
Q40. What can help combat ethical issues in AI-generated content?
a) Increased model size
b) More hidden layers
c) Transparency and accountability
d) Closed-source licenses
Answer: c) Transparency and accountability
Q41. Which Python library is commonly used to work with generative models?
a) Matplotlib
b) NumPy
c) TensorFlow
d) BeautifulSoup
Answer: c) TensorFlow
Q42. PyTorch is best known for:
a) Web development
b) Image annotation
c) Deep learning applications
d) Spreadsheets
Answer: c) Deep learning applications
Q43. Hugging Face Transformers library is used for:
a) Signal processing
b) NLP and generative models
c) Network security
d) Game development
Answer: b) NLP and generative models
Q44. What is the role of Diffusers by Hugging Face?
a) Web scraping
b) Model compression
c) Image generation pipelines
d) Text summarization
Answer: c) Image generation pipelines
Q45. Which platform offers DALL·E API integration?
a) Facebook
b) OpenAI
c) IBM Watson
d) Oracle Cloud
Answer: b) OpenAI
Q46. Which of these tools can generate videos using AI?
a) Synthesia
b) Canva
c) Photoshop
d) AutoCAD
Answer: a) Synthesia
Q47. What format does Midjourney generate?
a) Code
b) PDF
c) Image
d) Table
Answer: c) Image
Q48. Which cloud service is widely used for training generative AI models?
a) Dropbox
b) Google Drive
c) AWS
d) OneDrive
Answer: c) AWS
Q49. Which programming language is most used in Generative AI?
a) C++
b) PHP
c) Python
d) Ruby
Answer: c) Python
Q50. Which AI model excels at summarizing long texts?
a) BERT
b) GPT
c) VGGNet
d) ResNet
Answer: b) GPT
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Q51. “Hallucination” in AI refers to:
a) Dream interpretation
b) Generating factually incorrect outputs
c) Image rotation
d) Noise filtering
Answer: b) Generating factually incorrect outputs
Q52. Fine-tuning a model means:
a) Formatting hard disks
b) Improving inference speed
c) Re-training on task-specific data
d) Encrypting outputs
Answer: c) Re-training on task-specific data
Q53. Which method helps improve output relevance in large language models?
a) Data sorting
b) Prompt engineering
c) Binary trees
d) SQL queries
Answer: b) Prompt engineering
Q54. Token limit in GPT models refers to:
a) Data encryption size
b) Character length
c) Number of words
d) Total number of processed units
Answer: d) Total number of processed units
Q55. What’s the benefit of using APIs for Generative AI models?
a) Code obfuscation
b) Simplified integration
c) Higher resolution
d) No need for training
Answer: b) Simplified integration
Q56. What is “zero-shot learning” in LLMs?
a) Training with zero data
b) Training without GPUs
c) Answering without task-specific examples
d) Compressing tokens
Answer: c) Answering without task-specific examples
Q57. What is the future trend in generative AI models?
a) Fewer parameters
b) Smaller datasets
c) Multimodal capabilities
d) Less regulation
Answer: c) Multimodal capabilities
Q58. Which capability allows ChatGPT to see images or hear audio?
a) Linear regression
b) CNN
c) Multimodal input
d) Signal boosting
Answer: c) Multimodal input
Q59. What’s a key focus of Generative AI in 2025?
a) Energy mining
b) Multilingual generation
c) Cryptocurrency
d) Heat maps
Answer: b) Multilingual generation
Q60. The use of synthetic data generated by AI helps in:
a) Increasing app speed
b) Model testing and training
c) Password protection
d) Boosting internet speed
Answer: b) Model testing and training
Q61. You’re tasked with reducing biased outputs. What should you do first?
a) Add more layers
b) Use synthetic data
c) Audit and clean training data
d) Increase batch size
Answer: c) Audit and clean training data
Q62. An AI-generated article spreads fake news. What’s the root cause?
a) Bad formatting
b) Overfitting
c) Lack of content filtering
d) Slow tokenization
Answer: c) Lack of content filtering
Q63. Which is the safest way to use generative AI in content creation?
a) Let it post automatically
b) Review and edit before publishing
c) Auto-publish with watermark
d) Skip proofreading
Answer: b) Review and edit before publishing
Q64. If your model generates offensive language, what should be implemented?
a) Data normalization
b) Language filters
c) Better UI
d) GPU scaling
Answer: b) Language filters
Q65. Your boss asks you to generate 1000 blog intros daily. What do you use?
a) Mid journey
b) Canva
c) GPT-4
d) Tableau
Answer: c) GPT-4
Q66. What’s the biggest limitation of using free generative tools?
a) No UI
b) Limited tokens or features
c) Can’t connect to WiFi
d) Excess storage
Answer: b) Limited tokens or features
Q67. In a job interview, how do you explain GPT to a non-tech person?
a) It writes and talks like a human using AI
b) It repairs hardware
c) It edits spreadsheets
d) It powers batteries
Answer: a) It writes and talks like a human using AI
Q68. During testing, your GAN outputs blurry images. What’s likely wrong?
a) High learning rate
b) Small dataset
c) Model not trained long enough
d) Missing dropouts
Answer: c) Model not trained long enough
Q69. Which of the following is best for live AI chat?
a) LLaMA
b) DALL·E
c) GPT
d) YOLOv5
Answer: c) GPT
Q70. To ensure fairness in AI-generated resumes, what is necessary?
a) Remove identity-specific info from training data
b) Use GANs only
c) Increase GPU power
d) Train on passwords
Answer: a) Remove identity-specific info from training data
Conclusion-
This broad set of generic AI MCQs is designed to increase your understanding and prepare you for real-world applications and certificates. From basic concepts to moral ideas, by searching various aspects of generative AI, you can build a solid foundation in this fast-developing area.
Generative AI is no longer a future concept – it is a motivational power behind innovation in industries from entertainment and healthcare to education and software development. Professionals must understand their equipment, applications, and moral implications. If you are eager to use AI’s power in your career, now it’s the time to make your expertise.
There is a revolution in generative AI in how we make materials, code, arts, and even decisions. Whether you are aiming for ACE interviews or improving your practical AI understanding, you get an edge by mastering these generic AI MCQs. If you are looking for hands-on projects, certification, and real-world applications, then enroll in training led by a specialist at Gyansetu-Gurgaon’s head AI Institute.
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