Azure Machine Learning Flashcards
What is Azure Machine Learning?
A cloud-based platform for building and operating ML solutions in Azure.
What is Azure ML Studio?
A web portal in Azure ML for low-code and no-code options for model training, deployment, and asset management.
What is an Azure ML Workspace?
The top-level resource for Azure ML, providing a centralised place to work with all the artifacts you create when you use Azure ML.
What are compute targets?
Cloud-based resources on which you can run model training and data exploration processes.
What are the 4 kinds of compute targets?
Compute Instances
Compute Clusters
Inference Clusters
Attached Compute
What are Compute Instances?
Development workstations that data scientists can use to work with data and models.
What are Compute Clusters?
Scalable clusters of virtual machines for on-demand processing of experiment code.
What are Inference Clusters used for?
Deployment targets for predictive services that use your trained models.
What are Attached Compute used for?
Links to existing Azure compute resources, such as VMs or Azure Databrick clusters.
What is a dataset in Azure ML?
An object that contains data for model training and another operations.
It represents specific data files or tables that you plan to work with in Azure ML.
What is automated machine learning in Azure ML?
A feature that leverages the scalability of cloud compute to automatically try multiple pre-processing techniques and model-training algorithms in parallel to find the best performing model.
It only(?) supports supervised ML.
What is Azure Cognitive services?
A comprehensive family of AI services and cognitive APIs to help you build intelligent apps.
What decision AI services does Azure Cognitive services encapsulate?
Anomaly Detector
Content moderator
Personaliser
What language AI services does Azure Cognitive services encapsulate?
Language understanding (LUIS)
QnA Maker
Text analysis
Translator
What speech AI services does Azure Cognitive services encapsulate?
Speech-to-Text
Text-to-Speech
Speech translation
What vision AI services does Azure Cognitive services encapsulate?
Computer Vision
Custom Vision
Face API
For a majority of the services under the Cognitive services, you can create a separate resource to use. Why would you want to use the Cognitive services?
If developers used more than one cognitive service (e.g. Face and LUIS) and wanted to have one key and one endpoint to connect to.
How is the Language Understanding service under cognitive services resource different from the stand-alone resource?
In cognitive service, you can only create a prediction Language Understanding resource; if you want authoring, you’ll have to make a stand-alone.
What are the 3 settings for creating a compute instance in Azure ML Studio?
Virtual Machine Size
Virtual Machine Type
Compute Name
What are the 5 settings for creating a compute cluster in Azure ML Studio?
Virtual Machine Size
Virtual Machine Type
Virtual Machine Priority
Compute Name
Minimum number of nodes
Maximum number of nodes
Idle seconds before scale down
What are the 4 settings for deploying a model in Azure ML Studio?
Name
Description
Compute type
Enable authentication
What are the 3 resources added automatically to when creating a ML workspace ?
Key vault
Storage account
Application Insights
