Generative AI Fundamentals Quiz Answers

AI interview questions and answers (MCQ)

Ready to challenge your understanding of generative AI? This multiple-choice assessment is designed to help you prepare for artificial intelligence technical interviews. Test your knowledge on a wide range of AI topics, from machine learning fundamentals and deep learning architectures to natural language processing, computer vision, and current trends in AI ethics. Each question offers a single correct answer, challenging you to think critically about key concepts and applications in AI. Whether you’re a fresh graduate or an experienced professional, this quiz will help you identify your strengths and pinpoint areas that may require further study. By tackling these questions, you’ll be better equipped to showcase your AI expertise in your upcoming interviews. Ready to put your skills to the test? Let’s begin!

 

Which type of technology is described when smart cameras are used along an assembly line for quality control?
Generative AI
Computer Vision
Natural Language Processing
Quantum Computing
What is the main advantage of using pre-trained models in generative AI?
They require no further training
They can leverage knowledge from vast amounts of data
They are always smaller in size
They consume less energy
What is a potential application of generative AI in the field of education?
Replacing teachers entirely
Creating personalized learning materials and assessments
Eliminating the need for curricula
Making all educational content identical
Which Python library provides tools for named entity linking?
spaCy
NLTK
Stanford CoreNLP
All of the above
What is one challenge in using generative AI for decision-making tasks?
Lack of data
Ensuring transparency and accountability
Too fast decision-making
Inability to make any decisions
What is one of the main focus areas for tech companies in response to Responsible AI?
They describe their AI ethics and principles in public reports
They leave all decision-making to AI to eliminate bias
They keep all details of their AI operations strictly confidential
They ban further research on Artificial General Intelligence
What is the main purpose of using attention mechanisms in transformer models?
To make the model larger
To focus on relevant parts of the input
To generate random noise
To slow down processing
Which Python library is specifically designed for processing ancient Cuneiform texts?
NLTK
spaCy
CDLI-CoNLL-to-CoNLL-U
TextBlob
What is the purpose of the Waterfall Dialog in the Bot Framework SDK?
To handle user authentication
To manage conversation flow in a sequential manner
To generate bot responses
To process natural language input
Which of the following is a popular generative AI model for text generation?
GPT (Generative Pre-trained Transformer)
YOLO (You Only Look Once)
ResNet (Residual Network)
AlexNet
Which library provides a variety of reinforcement learning algorithms for generative AI?
TensorFlow
PyTorch
Transformers
Acme
What is a limitation of generative AI in music composition and production?
Generating music with emotional depth
Improving melody and rhythm creation
Ensuring originality and copyright compliance
Producing realistic instrument sounds
What is 'Attention Mechanism' primarily used for in AI models?
To alert users of important information
To focus computational resources on specific parts of the input
To speed up model training
To reduce model size
What is the purpose of the nucleus sampling technique in language model generation?
To balance diversity and quality of generated text
To speed up inference
To reduce model size
To improve training efficiency
How can generative AI models be used to optimize customer workflows in organizations?
Generating personalized content for customer interactions
Automating all customer feedback processes
Creating fake customer profiles for marketing campaigns
Improving employee productivity in customer service tasks
Which of the following is NOT a valid activation function in PyTorch?
RReLU
ReLU
Sigmoid
Tanh
What is the term used to describe the step where the model learns from its errors by adjusting the weights of the neurons in the network?
Backpropagation
Optimization
Validation
Hyperparameter Tuning
What is 'neural style transfer'?
Transferring the style of one neural network to another
Transferring the style of one image to another using neural networks
Training a neural network to classify artistic styles
Using a neural network to detect style similarities between images
Why is considering the AI model's capabilities important in prompt engineering?
It's not important
To design prompts that align with what the AI can effectively do
To increase model size
To reduce processing time
What is the purpose of the TextBrewer library in NLP?
To provide pre-trained word embeddings
To offer a toolkit for knowledge distillation in NLP
To perform sentiment analysis
To generate text summaries
How can AI support healthcare decision-making?
By replacing all doctors
By providing data-driven insights to support diagnoses
By making all medical decisions autonomously
By eliminating the need for healthcare
How does generative AI typically handle tasks requiring causal reasoning?
It may struggle with cause and effect relationships
It always provides perfect causal explanations
It can predict future causes and effects
It ignores causal relationships entirely
What is the main application of generative AI in medical imaging?
To generate synthetic medical images for training diagnostic models
To only capture real medical images
To delete medical images
To avoid medical imaging tasks
What is the primary goal of responsible AI practices in generative AI development?
To make AI more powerful
To ensure ethical and beneficial use of AI
To increase company profits
To replace human workers
Which of the following is NOT a common approach in text classification?
Naive Bayes
Support Vector Machines
Random Forests
Sentiment Amplification
Score: 0/25