Ai Engineer Interview Questions (mcq)

AI Engineer Interview Questions (MCQ): Test Your Knowledge!

Ready to challenge your understanding of generative AI? This comprehensive quiz is designed to evaluate your knowledge of generative artificial intelligence, spanning from foundational principles to the latest advancements in the field. This quiz offers an ideal opportunity to test your expertise in Gen AI field. Each question presents only one correct answer, and your responses will be scored to help you identify your strengths and areas that may benefit from further study. We encourage you to approach each question with careful consideration.

 

What is a potential long-term impact of generative AI?
Automation of all jobs
Complete replacement of human creativity
Augmentation of human capabilities
Technological singularity
Which US tech company developed the Meena chatbot?
Apple
Microsoft
Google
Amazon
What is a potential application of generative AI in game design?
Physically building gaming consoles
Generating game scenarios and assisting in narrative design
Replacing all game designers
Controlling players' actions
What is the primary concern of AI Transparency in Healthcare?
To ensure AI models are accurate
To ensure AI models are interpretable
To ensure AI models are transparent
To ensure AI models are unbiased
Which GAN variant is specifically designed for text-to-image synthesis?
StackGAN
DCGAN
WGAN
ProgressiveGAN
In what way can generative AI impact the field of architecture?
Automating construction processes
Designing new architectural styles
Improving structural integrity
Forecasting market trends
How might generative AI be used in the field of criminology?
By physically catching criminals
By analyzing crime patterns and predicting trends
By replacing law enforcement
By controlling criminal behavior
Which technique is used to combine multiple models for improved performance in MLOps?
Transfer learning
Continuous training
Model compression
Ensemble methods
What is the primary purpose of backpropagation in neural networks?
To move data backwards
To calculate gradients for learning
To revert network changes
To classify propagation types
How can generative AI optimize business processes?
Summarizing content and outlining solution paths
Extracting and summarizing data for knowledge search functions
Generating synthetic data for supervised learning
Creating deepfakes for malicious purposes
Which of the following is NOT a common challenge in scaling ML systems in MLOps?
Data volume
Model complexity
Infrastructure management
Reducing model accuracy
What is the purpose of a model dashboard in MLOps?
To improve model accuracy
To provide a visual interface for monitoring model performance
To automate model training
To perform data cleaning
Why control generative AI output?
Increase speed
Reduce costs
Improve storage
Prevent harm
What is the key innovation in Anthropic's constitutional AI approach?
Improved few-shot learning
Ethical behavior built into model training
Faster training speed
Enhanced multilingual support
What is an important consideration when using generative AI for content personalization?
Collecting as much user data as possible
Ensuring user privacy and consent
Maximizing engagement metrics
Prioritizing advertiser interests
Which key technological advancement in the 1980s was critical for training deep neural networks?
Invention of the backpropagation algorithm
Introduction of Support Vector Machines
Development of perceptrons
Revival in neural network research
What is a potential future application of Generative AI?
Improving the realism of generated content
Fully replacing human workers
Developing sentient AI
Enabling autonomous vehicles
What is the purpose of fine-tuning in the context of pre-trained language models?
To adapt the model to specific tasks
To increase model size
To reduce computational complexity
To improve model interpretability
Which of the following is a closed-source large language model?
BERT
GPT-3
T5
DALL-E
What is the primary goal of using system messages in chatbot prompts?
To greet the user
To set the AI's behavior and role
To end the conversation
To generate random responses
Which Python library is often used for implementing generative models for text summarization?
Transformers
NumPy
SciPy
Pandas
What is a common concern with AI-generated game content?
It may lack the creativity or depth of human-designed content
It may feel repetitive or predictable
It may not be balanced or fair for all players
All of the above
What is 'adversarial machine learning'?
Learning to be adversarial
Adversarial roles in learning
Machine learning for adversaries
Techniques to fool or manipulate AI systems
What is the main purpose of "AI ethics guidelines"?
To restrict AI development
To provide a framework for ethical AI creation and use
To increase AI funding
To replace human ethics with AI
Which of the following is NOT a common approach to model compression in generative AI?
Pruning
Quantization
Knowledge distillation
Feature expansion
Score: 0/25