Identifies a resource as a string; examples include the address of a Key Vault secret and the queue service address Functions connections rely on.
Also called uniform resource identifier.
In the Ultra Transcenders books
AI-200DP-750SC-200SC-300AZ-400DP-600DP-700MD-102
Each book explains URI in context, with comparison tables and the common traps.
Terms in this definition
- Key Vault secret
String value kept in Key Vault, for example a password, connection string or API key.
Related terms
- abfss://
Secure URI scheme used to reach ADLS Gen2 data, always through the dfs endpoint (account.dfs.core.windows.net); blob endpoint addresses are not used with it.
- Connection troubleshoot
One-time Network Watcher check from a VM to another VM, an FQDN, a URI or an IP and port, reporting whether it is reachable, the latency and which hop (route or NSG) breaks it.
- Custom Web API skill
Azure AI Search skill (
Microsoft.Skills.Custom.WebApiSkill) that sends enrichment calls to an HTTP endpoint you supply inuri, for example an Azure Function fronting a Document Intelligence model. Setting a context that ends in /* makes it run per item. - Data asset
In Azure Machine Learning, a versioned, named pointer to a storage location (
uri_file,uri_folderormltable) that behaves like a bookmark, leaving the data where it is rather than copying it. - Domainless federation
Normally a SAML/WS-Fed identity provider set up for B2B is matched on the guest's email domain. With this option that check is skipped and guests are sent to the provider by its issuer URI instead, which helps when a partner's users have email addresses on domains other than the provider's.
- FrontDoorAccessLog
A Front Door log category that captures each request, including its URI, client IP and status. It helps when studying traffic patterns, for instance to decide on rate limits.
- MLflow tracking URI
The location MLflow sends logged data to. Azure Machine Learning jobs configure it for you; outside them you supply it with
mlflow.set_tracking_uri. - runs:/ URI
MLflow URI of the form
runs:/<run-id>/<path>that points to a model stored in a run's default artifact location, allowing it to be registered with lineage. The equivalent Azure ML form isazureml://jobs/<job>/outputs/artifacts/paths/<path>.