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.

 

Which term signifies the multiple layers through which data is transformed in Deep Learning systems?
Shallow
Broad
Deep
Surface
Which model was the first to demonstrate the power of transformer architectures?
BERT
GPT
Transformer
T5
How does interacting with a chatbot differ from using a general search engine?
It feels more like a conversation
It provides only factual information
It requires technical language
It restarts with each query
How is a chatbot interaction different from using a general search engine?
The interaction restarts with each question
The customer must use specific terminology
The customer uses more formal language
The interaction feels more like a conversation
What is the main purpose of 'Ensemble Learning' in AI?
Using only the best performing model
Combining multiple models to improve overall performance
Training models in a sequence
Using a single, very large model
In GANs, what is the purpose of the CycleGAN architecture?
To generate cyclical data
To perform unpaired image-to-image translation
To improve training stability
To implement 3D GANs
What is the main goal of neural text infilling in NLP?
To complete partial text by filling in missing words or phrases
To generate text from scratch
To translate incomplete text between languages
To perform sentiment analysis on partial text
How is AI used in smart cities?
To make cities sentient
To eliminate rural areas
To optimize urban services
To replace city planners
Which US company developed the PaLM 2 language model?
Google
Microsoft
OpenAI
Meta
Which Python library provides a high-level interface for deep learning models in NLP?
NLTK
spaCy
Gensim
Keras
How does the MBART model extend multilingual capabilities in transformers?
By pretraining on multiple languages with denoising objectives
By implementing language-specific encoders
By using cross-lingual word embeddings
By employing zero-shot translation techniques
How can generative AI assist in wildlife conservation?
By physically protecting animals
By analyzing ecosystem data and predicting environmental impacts
By replacing all conservationists
By controlling animal behavior
Generative AI can contribute to disaster response efforts by:
Automating all emergency procedures
Predicting disaster impact areas
Generating synthetic disaster scenarios
Replacing human first responders
What is 'semi-supervised learning'?
Partially supervised learning
Learning from both labeled and unlabeled data
Semi-automatic supervision
Supervising learning halfway
What is the key innovation of the GPT-3 model?
Novel architecture design
Massive scale and in-context learning
Use of multimodal inputs
Implementation of quantum computing
Which learning approach is used to learn better representations in language models by comparing similar and dissimilar samples?
Contrastive learning
Supervised learning
Reinforcement learning
Unsupervised learning
Which of the following is a principle of Microsoft's Responsible AI?
Data exclusivity
Human-centric AI
Economic efficiency
Complexity reduction
What is the curse of dimensionality?
A dimensional curse on AI
Cursing in multiple dimensions
Dimensional problems in curses
Problems arising when analyzing high-dimensional data
What is the main purpose of using generative AI in weather forecasting?
To replace meteorologists entirely
To generate more detailed climate models
To control the weather
To optimize TV weather broadcasts
What is transfer learning in AI?
Moving AI between computers
Using knowledge from one task to learn another
Transferring data between models
Learning how to transfer files
How do transformer models typically address the challenge of long-term memory?
Through attention mechanisms and position encodings
By using external memory banks
Through implementing forget gates
By periodically resetting hidden states
What is the purpose of the Ernie library in NLP?
To provide pre-trained word embeddings
To offer enhanced representation through knowledge integration
To perform sentiment analysis
To generate text summaries
In LOGAN (Latent Optimization GAN), what aspect of GAN training is modified?
The discriminator architecture
The generator architecture
The optimization of latent vectors
The data augmentation process
What is the primary goal of facial recognition systems?
To generate faces
To identify individuals from facial features
To create facial expressions
To measure facial symmetry
What is the unique approach of the T5 model?
Text-to-text framework
Image-to-text conversion
Speech recognition
Video analysis
Score: 0/25