AI & ML Flashcards
(26 cards)
What is the automation of an end-to-end pipeline for building, training, inferring, and deploying ML models?
Feature Store
Deep Learning Environment
Notebooks
MLOps
MLOps
What is the process of trying out different iterations of ML models such as using various hyperparameter tuning?
Continuous Monitoring
Data Labelling
Explainable AI
Experiments
Experiments
What is required to run a model using specialized virtual machine containers that has compute already preinstalled such as Python or TensorFlow?
Training
Metadata
Hybrid AI
Deep Learning Environment (DL VM, DL Containers)
Deep Learning Environment (DL VM, DL Containers)
What is Vertex AI?
Vertex AI is Google Cloud’s unified ML platform for building ML solutions end-to-end
What acts as a platform as a service for machine learning that allows you to upload your own dataset to run the model for you?
AutoML
A Tensor is a ________
semi-dimensional array
single-dimensional array
dual-dimensional array
multi-dimensional array
multi-dimensional array
What programming languages can TensorFlow mainly be written in? (Select 3)
CUDA
Python
C++
JavaScript
CUDA
Python
C++
What is a low-level deep learning machine learning framework created by Google Brain Team?
TensorFlow
What ML service allows you to easily train high-quality, custom ML models where you upload your data, choose what you want to predict and it does the rest?
Vertex AI
AutoML Tables
AutoML
AI Platform
AutoML
What ML service allows you to build and deploy machine learning models on structured data?
AutoML Tables
What takes advantage of preconfigured and optimized containers for deep learning environments?
Deep Learning VM Images
Machine Learning Models
Deep Learning Containers
Cloud CPUs
Deep Learning Containers
What are the possibilities for a ML compute solution? (Choose 2)
Optimized for data science and ML tasks.
preconfigured and optimized containers
Either CPU or GPU
Prepackaged with specific ML framework and data-science libraries
Either CPU or GPU
Prepackaged with specific ML framework and data-science libraries
What are the features of a Notebook?
equations
visualizations
live-code
narrative text
All of the options
All of the options
What deploys VM images that are optimized for data science and ML tasks?
Deep Learning VM Images
What is required to prepare, train, tune, predict for Machine Learning models?
You need to use compute optimized and specialized for ML and DL tasks.
Deep Learning Containers
Take advantage of preconfigured
To prepare, train, tune predict for Machine Learning models you need to use compute…
To prepare, train, tune predict for Machine Learning models you need to use compute optimized and specialized for ML and DL tasks
What AI service uses Natural Language Processing (NLP) to train and simulate human review of documents?
Video AI
Document AI
Recommendation AI
Talent Solution
Document AI
What AI service derives insights from images, text, and more using custom or pretrained models?
Vision AI
Document AI
Natural Language API
Translation
Vision AI
What AI service derives insights from unstructured text?
Natural Language API
What AI service provides a catalog of records and will suggest recommendations to users?
Recommendation AI
What conversational AI use case assists in employee training, onboarding, updating employee information?
HR processes
Health Care
Internet of Things (IoT)
Accessibility
HR processes
What conversational AI service can convert text to natural-sounding speech using ML?
Text-to-Speech
Speech-to-Text
Dialogflow
Agent Assist
Text-to-Speech
What type of DialogFlow provides an advanced agent type suitable for large or very complex agents?
Dialogflow CX
Dialogflow XD
Dialogflow ES
Dialogflow XY
Dialogflow CX
