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AI and Machine Learning premium AI token An AI token is a unit of text processed by a language model. Azure AI and Foundry model quotas, cost, and rate limits commonly use tokens to measure prompt input, generated output, and throughput such as tokens per minute. Azure OpenAI and Foundry Models fundamentals 3 commands Aliases: model token, LLM token, input token, output token, TPM Quick peek Open full term page

AI and Machine Learning field-manual-complete Tokenizer A tokenizer converts text into the tokens consumed and produced by generative AI models. In Azure OpenAI and Foundry model workloads, tokenization determines how prompts, retrieved context, tool results, and completions fit within model context limits, rate limits, and billing meters. Azure OpenAI and Foundry Models intermediate 5 commands Aliases: AI tokenizer, model tokenizer, tokenization, token counter, text tokenizer Quick peek Open full term page

AI and Machine Learning premium Azure OpenAI Service Azure OpenAI Service provides managed access to OpenAI model capabilities through Azure endpoints and enterprise controls. Generative AI fundamentals 11 commands Aliases: Azure OpenAI Quick peek Open full term page

AI and Machine Learning premium Azure OpenAI Azure OpenAI provides OpenAI model capabilities through Azure resources, deployments, identity, networking, quota, and monitoring controls. Azure OpenAI intermediate 8 commands Aliases: Azure OpenAI Service Quick peek Open full term page

AI and Machine Learning premium Azure AI Foundry Create a governed project boundary where AI teams can build agents, evaluations, files, and model deployments without unmanaged sprawl.; Compare, evaluate, and approve model deployments before a generative AI feature is AI platform fundamentals 5 commands Aliases: AI Foundry, Microsoft Foundry, Foundry resource, Foundry project, Azure AI Foundry, azure ai foundry Quick peek Open full term page

AI and Machine Learning premium Foundry Models Foundry Models is the Microsoft Foundry model catalog and deployment experience for discovering, evaluating, and using cloud AI models through managed endpoints. Microsoft Foundry intermediate 5 commands Aliases: Microsoft Foundry Models, Foundry model catalog, AI Foundry models, model catalog Quick peek Open full term page

AI and Machine Learning field-manual-complete Azure OpenAI deployment An Azure OpenAI deployment is the practical handle your application uses when it calls a model. The resource may offer several models, but code usually sends requests to a deployment name such as summarizer-prod or support-gpt4o. That deployment records which model and. Azure OpenAI fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Azure OpenAI resource An Azure OpenAI resource is the Azure control-plane boundary that hosts deployments, endpoints, access, networking, and billing context. Azure OpenAI fundamentals 12 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning top-250-pre130-priority-upgraded Customer managed key for Azure OpenAI Customer managed key for Azure OpenAI is a production Azure concept tied to Azure OpenAI. Azure OpenAI advanced 4 commands Aliases: Customer-managed key for Azure OpenAI, Customer managed key for Azure OpenAI Quick peek Open full term page

AI and Machine Learning premium Azure OpenAI managed identity Azure OpenAI managed identity uses Microsoft Entra identities so Azure workloads can call model endpoints without stored keys. Azure OpenAI intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Azure AI Foundry hub Azure AI Foundry hub is the classic Foundry hub resource used to group AI projects that share common security, data access, connections, and platform settings. In Azure, teams encounter it when teams need hub-based projects for selected Foundry and Azure Machine Learning scenarios such as fine-tuning, shared connections, and custom ML work. The useful question AI platform advanced 4 commands Aliases: AI Hub, Foundry AI Hub, hub-based project, Azure AI hub Quick peek Open full term page

AI and Machine Learning premium Azure AI Foundry project An Azure AI Foundry project is the working area where a team builds and organizes an AI application inside Microsoft Foundry. It keeps related agents, evaluations, files, indexes, tools, connections, and model usage together instead of scattering them across a shared portal. Think of it as the project boundary for one AI product, prototype, or team. It is useful because AI work quickly becomes messy: prompts, test data, model deployments, safety checks, and access decisions all need a home with ownership and repeatable operations. AI platform advanced 4 commands Aliases: AI Foundry project, AI project, Foundry project, Microsoft Foundry project Quick peek Open full term page

AI and Machine Learning field-manual-complete Azure OpenAI private endpoint An Azure OpenAI private endpoint gives your model-calling applications a private network path to an Azure OpenAI resource. Instead of reaching the resource over its public endpoint, approved clients in a virtual network resolve the service name to a private IP address. This is useful for sensitive prompts, internal copilots, and retrieval systems that must stay inside controlled network boundaries. It still requires identity, DNS, and application configuration to be correct. Test callers before lockdown. Azure OpenAI intermediate 5 commands Aliases: OpenAI private endpoint, Azure OpenAI Private Link, private model endpoint, private endpoint for Azure OpenAI Quick peek Open full term page

AI and Machine Learning field-manual-complete Azure OpenAI quota Azure OpenAI quota is the guardrail that limits how much model capacity your workloads can use. It is not just a billing setting. Quota is commonly scoped by subscription, region, model, and deployment type, so a workload can have plenty of capacity. Azure OpenAI fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning field-manual-complete Private endpoint for Azure OpenAI A private endpoint for Azure OpenAI is the private network doorway to an Azure OpenAI resource. Your application still calls the Azure OpenAI endpoint and authenticates normally, but from approved networks the name can resolve to a private IP instead of a public address. It is commonly used for enterprise chat, RAG, summarization, and agent workloads that handle sensitive prompts or documents. It protects the network path, not the prompt content by itself, so identity, logging, safety, and data controls still matter. Azure OpenAI advanced 5 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Foundry Local Foundry Local is an on-device AI runtime and SDK for shipping applications that run curated generative AI models locally on user hardware. Microsoft Foundry intermediate 5 commands Aliases: Microsoft Foundry Local, Foundry Local CLI, on-device AI inference, local AI runtime Quick peek Open full term page

AI and Machine Learning premium Microsoft Foundry Microsoft Foundry is the Microsoft AI platform experience used to build, evaluate, deploy, and manage AI applications, models, agents, and related project assets. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline. AI platform intermediate 4 commands Aliases: Azure AI Foundry, Foundry, AI Foundry Quick peek Open full term page

AI and Machine Learning premium Foundry Agent A Foundry Agent is an AI agent built or hosted in Microsoft Foundry Agent Service with instructions, model selection, tools, knowledge, and runtime execution evidence. Teams use it to automate business tasks that require model reasoning, tool calls, enterprise knowledge, workflow steps, retrieval, approvals, and observable runs inside a governed Azure AI platform. It is not a magic autonomous worker, a security principal by itself, a replacement for process controls, or a safe production feature without tool permissions, evaluation, monitoring, and human escalation. Microsoft Foundry intermediate 6 commands Aliases: Microsoft Foundry agent, Foundry Agent Service agent, AI agent in Foundry, agent service agent Quick peek Open full term page

AI and Machine Learning premium Azure Machine Learning Azure Machine Learning is a cloud service for managing the machine learning lifecycle, including workspaces, data, training jobs, model deployment, monitoring, and MLOps. Machine learning operations advanced 5 commands Aliases: Azure ML, AML, Machine Learning workspace Quick peek Open full term page

AI and Machine Learning premium Foundry project A Foundry project organizes agents, model deployments, evaluations, files, and team access inside a Microsoft Foundry resource for building AI applications. Microsoft Foundry intermediate 5 commands Aliases: Microsoft Foundry project, AI Foundry project, Foundry workspace project Quick peek Open full term page

AI and Machine Learning premium Foundry resource A Foundry resource is the primary Azure resource for building, deploying, and managing generative AI models, agents, evaluations, and applications. Microsoft Foundry intermediate 5 commands Aliases: Microsoft Foundry resource, Foundry AIServices resource, AI Services Foundry resource Quick peek Open full term page

AI and Machine Learning premium Azure AI Content Safety Azure AI Content Safety is the Azure AI service used to detect harmful text and image content before it reaches users, moderators, or automated workflows. In Azure, teams encounter it when applications accept user posts, comments, uploads, prompts, or model outputs that need moderation and policy review. The useful question is what behavior it proves, Responsible AI advanced 4 commands Aliases: Content Safety, Azure Content Safety, harm detection, content moderation API Quick peek Open full term page

AI and Machine Learning premium Azure AI Language Azure AI Language is the Azure natural-language processing service for analyzing and understanding text with prebuilt and customizable language capabilities. AI services intermediate 4 commands Aliases: Azure Language, Azure Language in Foundry Tools, Azure Language service, Language in Foundry Tools, Language service Quick peek Open full term page

AI and Machine Learning premium Azure AI services Azure AI services is the family of Azure cloud AI APIs and resources, surfaced through Foundry Tools, for vision, speech, language, translation, content, and generative scenarios. AI services fundamentals 4 commands Aliases: AI services, Azure AI services account, Cognitive Services, Foundry Tools Quick peek Open full term page

AI and Machine Learning premium Azure AI Speech The Azure speech service for converting speech to text, text to speech, speech translation, pronunciation assessment, and related speech-enabled capabilities. AI services intermediate 4 commands Aliases: Azure Speech, Speech in Foundry Tools, Speech service, Speech-to-text Quick peek Open full term page

AI and Machine Learning premium Azure AI Vision The Azure vision service that analyzes images and visual content for tasks such as OCR, object information, captions, tags, and image understanding. AI services intermediate 4 commands Aliases: Azure Vision, Computer Vision, Image Analysis, Vision in Foundry Tools Quick peek Open full term page

AI and Machine Learning verified OpenAI deployment name An OpenAI deployment name is the customer-chosen name assigned to an Azure OpenAI or Foundry model deployment. Applications use that name, not necessarily the base model name, to route inference requests to the deployed model, quota, version, and deployment type. Azure OpenAI intermediate 6 commands Aliases: Azure OpenAI deployment name, model deployment name, deployment_name, Azure OpenAI model parameter, OpenAI deployment name, deploymentName, deployments route Quick peek Open full term page

AI and Machine Learning premium Foundry hub A Foundry hub is a hub-style Microsoft Foundry resource used in selected scenarios to group AI projects with shared security, connections, data access, and governance settings. Teams use it to organize related AI projects that need common connections, managed identities, network controls, storage, security review, and platform governance across teams or application portfolios. It is not a whole Azure tenant, a model deployment by itself, a replacement for project-level permissions, or the required resource shape for every modern Foundry scenario. Microsoft Foundry intermediate 6 commands Aliases: Azure AI Foundry hub, Foundry hub resource, hub-based project, AI hub Quick peek Open full term page

AI and Machine Learning premium Foundry IQ Foundry IQ is a managed knowledge layer for Microsoft Foundry that connects enterprise data into reusable, permission-aware knowledge bases for AI agents. Teams use it to ground agents in approved enterprise knowledge from Azure, SharePoint, OneLake, the web, and Azure AI Search-backed knowledge bases while preserving permissions and reusable retrieval configuration. It is not a general data lake, a replacement for source-system permissions, a guarantee that retrieved content is correct, or a reason to skip citation, freshness, and access reviews. Microsoft Foundry intermediate 6 commands Aliases: Microsoft Foundry IQ, Foundry IQ knowledge base, managed knowledge layer, permission-aware knowledge base Quick peek Open full term page

Analytics premium Azure Databricks A unified, open analytics platform on Azure for building, deploying, sharing, and maintaining enterprise data, analytics, and AI solutions at scale. Data engineering and AI intermediate 5 commands Aliases: Databricks on Azure Quick peek Open full term page

Analytics premium Azure Databricks Unity Catalog A unified governance layer in Azure Databricks for data and AI assets, including catalogs, schemas, tables, volumes, models, privileges, and lineage. Data governance intermediate 5 commands Aliases: Unity Catalog Quick peek Open full term page

Databases premium Azure SQL Database DTU model Azure SQL Database DTU model is a purchasing model that bundles compute, storage, and I/O resources into Database Transaction Units for Basic, Standard, and Premium tiers. Azure SQL Database fundamentals 5 commands Aliases: Azure SQL Database DTU model, DTU model, DTU-based purchasing model, Database Transaction Unit, eDTU Quick peek Open full term page

AI and Machine Learning premium Azure AI metrics Azure AI metrics is the measurable signals used to observe Azure AI applications, model endpoints, agents, evaluations, safety checks, and business outcomes. Azure AI services intermediate 4 commands Aliases: AI metrics, AI service metrics, Azure AI Metrics Advisor, Azure Monitor metrics for AI, Metrics Advisor, time series anomaly detection Quick peek Open full term page

AI and Machine Learning premium Azure AI services account An Azure resource that provides endpoints, keys, identity, networking, billing, and monitoring for one or more Azure AI service capabilities. Azure AI services fundamentals 4 commands Aliases: AI services account, Azure AI multi-service resource, Foundry resource, Microsoft.CognitiveServices account Quick peek Open full term page

Databases premium Azure Cosmos DB Azure Cosmos DB is a fully managed database service for NoSQL, relational, and vector workloads. It supports global distribution, elastic scale, multiple APIs, request-unit capacity, backup, and high availability so modern applications can store and query data without operating database servers. Azure Cosmos DB fundamentals 4 commands Aliases: Azure Cosmos DB, Cosmos DB, Azure Cosmos DB for NoSQL, Cosmos database, global NoSQL database, request-unit database Quick peek Open full term page

Storage premium Azure Files premium share Azure Files premium share is an Azure Files share backed by premium storage for workloads that need predictable capacity, IOPS, and throughput. It helps application and storage architects give latency-sensitive file workloads managed storage with provisioned performance without guessing whether standard file shares can meet peak demand. You see it when profile containers, engineering tools, build systems, analytics staging, or transactional applications require faster shared file access. It still needs ownership, network design, monitoring, and recovery planning. Operators need repeatable evidence for deployment, protection, troubleshooting, and reviews, not screenshots or tribal knowledge. Premium file shares intermediate 4 commands Aliases: Premium Azure file share, SSD Azure file share Quick peek Open full term page

Databases premium Azure SQL logical server An Azure SQL logical server is a logical administrative construct for Azure SQL Database and related SQL resources. Microsoft Learn describes it as the central point for managing a collection of databases, including logins, firewall rules, auditing, threat detection policies, and failover groups. Azure SQL Database fundamentals 16 commands Aliases: No aliases yet Quick peek Open full term page

Management and Governance premium Azure Policy Azure Policy is a governance service for creating, assigning, and managing rules that evaluate Azure resources. Azure Policy fundamentals 7 commands Aliases: Policy Quick peek Open full term page

Developer Tools premium Azure PowerShell Azure PowerShell is Microsoft’s Az module collection for managing Azure resources from PowerShell. Command line fundamentals 7 commands Aliases: Az PowerShell module, Az module, Azure PowerShell, Azure PowerShell cmdlets, PowerShell for Azure Quick peek Open full term page

Management and Governance premium Azure subscription An Azure subscription is a management, billing, and scale unit for Azure resources. Azure scope fundamentals 7 commands Aliases: subscription Quick peek Open full term page

Developer Tools premium Azure CLI A cross-platform command-line tool for connecting to Azure and executing administrative commands on Azure resources. Command line fundamentals 6 commands Aliases: az, Azure command-line interface Quick peek Open full term page

Developer Tools premium Azure Developer CLI An open-source developer command-line tool that accelerates provisioning, deployment, pipeline setup, and monitoring for application resources on Azure. Developer workflow fundamentals 6 commands Aliases: azd Quick peek Open full term page

Compute premium Azure Functions Azure Functions is Azure serverless compute for running code from triggers such as HTTP requests, queues, timers, events, and service integrations without managing servers. Serverless compute intermediate 6 commands Aliases: Functions, Function App, serverless functions Quick peek Open full term page

Containers premium Azure Kubernetes Service Azure Kubernetes Service is Azure’s managed Kubernetes service for deploying, scaling, and operating containerized applications while Azure manages much of the cluster control plane. Managed Kubernetes advanced 6 commands Aliases: AKS, managed Kubernetes Quick peek Open full term page

Hybrid and Multicloud premium Azure Local Azure Local is Microsoft’s distributed infrastructure solution that extends Azure capabilities to customer-owned environments for local VMs, containers, and selected Azure services through Azure Arc. Distributed infrastructure advanced 6 commands Aliases: Azure Stack HCI, Azure Local infrastructure, Arc-enabled local infrastructure Quick peek Open full term page

Databases premium Azure Managed Redis Azure Managed Redis is a Microsoft-managed in-memory data store based on Redis Enterprise, used for low-latency caching, session storage, messaging, and semantic cache scenarios. Managed cache intermediate 6 commands Aliases: Managed Redis, Redis Enterprise on Azure, Azure Redis Enterprise Quick peek Open full term page

Analytics premium Azure Synapse Analytics Azure Synapse Analytics is Microsoft’s integrated analytics service for enterprise data warehousing, big data, data integration, and exploratory analytics. Synapse Analytics intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Azure AI Search index An Azure AI Search index is the place where your application searches. It is not just a pointer to a database or blob container. It is a separate searchable structure with documents, fields, and rules for how text, filters, facets, semantic ranking, and vectors behave. If the index schema is wrong, the search experience feels wrong even when the source data is good. Developers and operators use indexes to make. AI platform and search intermediate 5 commands Aliases: Azure AI Search index, search index, AI Search index, azure-ai-search-index Quick peek Open full term page

AI and Machine Learning premium Azure AI Search indexer An Azure AI Search indexer is the automated worker that fills a search index from another data source. Instead of your application pushing every document into Azure AI Search, the indexer pulls from places such as Blob Storage, Azure SQL, Cosmos DB, or Data Lake Storage. It can map fields, detect changes, crack documents, and run enrichment skills before writing searchable documents. It is useful when source data changes regularly. AI platform and search intermediate 5 commands Aliases: Azure AI Search indexer, search indexer, indexer, azure-ai-search-indexer Quick peek Open full term page

Containers premium Azure Container Registry A managed private registry service for building, storing, and managing container images and OCI artifacts for container deployments. Container images fundamentals 5 commands Aliases: ACR Quick peek Open full term page