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 the purpose of the "adapter" modules in certain transformer fine-tuning approaches?
To add task-specific parameters efficiently
To increase model size
To apply regularization
To normalize inputs
What is the role of vector databases in AI applications?
To store metadata
To store scalar embeddings for fast retrieval
To store vector embeddings for fast retrieval and similarity search
To store vector embeddings for dissimilarity search
How does generative AI contribute to the field of synthetic biology?
By generating DNA sequences
By designing new organisms
Only by analyzing existing organisms
By creating virtual pets
How is AI bias commonly addressed in development?
By ignoring bias
Through diverse development teams and data sources
By maximizing AI autonomy
By minimizing data analysis
Which of the following is NOT a common type of image segmentation evaluation metric?
Intersection over Union (IoU)
Dice coefficient
Pixel accuracy
Mean Average Precision (mAP)
What is the primary goal of the Funnel Transformer?
Progressively reducing sequence length for efficiency
Improving few-shot learning
Enhancing multilingual performance
Optimizing model compression
In what way can generative AI support the field of disaster response planning?
Predicting and simulating disaster scenarios
Enhancing data encryption methods
Improving network connectivity
Optimizing search engine algorithms
What is Responsible AI?
Ethical AI Development
AI for Social Good
Human-Centered AI Design
AI Governance Framework
What is the primary goal of automated machine learning (AutoML) in MLOps?
To improve model accuracy
To automate the process of selecting and optimizing ML models
To automate model deployment
To perform data visualization
What is an ethical consideration for AI in education?
Ignoring student privacy
Ensuring equitable access and preventing bias
Using AI to replace all teachers
Collecting unnecessary student data
Which of the following is a common approach for handling class imbalance in semantic segmentation?
Weighted loss functions
Oversampling minority classes
Data augmentation
All of the above
What is a key advantage of using generative AI in content creation?
It completely replaces human creativity
It can generate ideas and drafts quickly
It always produces error-free content
It eliminates the need for editing
What is the primary purpose of a prompt engineering salary survey?
To set AI model pricing
To understand market rates for prompt engineering skills
To determine AI hardware costs
To calculate AI training expenses
What is the main purpose of the "LargeFaceListId" parameter in the Face API request for finding similar faces?
To specify the search scope
To limit the number of results
To improve search speed
To define face matching criteria
Which tool is commonly used for distributed reinforcement learning in MLOps?
TensorFlow
PyTorch
Ray RLlib
Scikit-learn
Which US tech hub is known for its concentration of robotics and AI companies?
Silicon Valley
Boston
Pittsburgh
Austin
What is a main limitation of GPT models?
Latent diffusion
Hallucination
Revolutionization
Memory optimization
Which of the following is a common image preprocessing technique?
Normalization
Tokenization
Lemmatization
Part-of-speech tagging
What is the primary function of bagging in machine learning?
To pack data into bags
To reduce model variance
To generate bag sizes
To classify bagging types
Which technique does the T5 (Text-to-Text Transfer Transformer) model use to unify various NLP tasks?
Framing all NLP tasks as text-to-text problems
Using task-specific architectures
Employing multi-task learning
Implementing modular components
What is one challenge related to the interpretability of generative AI models?
Slow processing speed
Lack of transparency in decision-making
Insufficient memory
Limited input options
What is one challenge in using generative AI for sentiment analysis?
Lack of sentiment to analyze
Accurately capturing nuanced or sarcastic expressions
Too much sentiment to analyze
Inability to detect any sentiment
What is the purpose of the CycleGAN architecture in computer vision?
To perform image classification
To achieve unpaired image-to-image translation
To implement semantic segmentation
To detect objects
Which of the following is a disadvantage of open-source large language models?
Lower performance
Higher cost
Less control over usage
Limited customization
How is generative AI used in video games?
To create dynamic storylines
To improve graphics
To speed up loading times
To make games harder
Score: 0/25