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AI and Machine Learning
premium
Health Insights
Health Insights is Azure AI capabilities that help healthcare applications extract, reason over, or summarize clinical information for approved medical workflows.
Azure AI Health Insights
intermediate
4 commands
Aliases: Azure AI Health Insights, Azure Health Insights, Health Insights, health-insights
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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
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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
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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
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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
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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
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Monitoring and Observability
premium
Azure Resource Health
Azure Resource Health reports current and past health for individual Azure resources and helps diagnose service-impacting problems.
Operational hygiene
fundamentals
5 commands
Aliases: Azure Resource Health, Azure resource health status, Resource Health, resource availability status
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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
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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
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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
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AI and Machine Learning
premium
Azure AI Search
Azure AI Search is a managed retrieval service for full-text, vector, hybrid, and semantic search across application and enterprise content. It provides search services, indexes, indexers, skillsets, ranking features, security controls, and APIs used by apps, copilots, and knowledge portals.
Search
fundamentals
4 commands
Aliases: Azure AI Search, AI Search, Azure Cognitive Search, enterprise search, vector search, hybrid search, semantic search, Search service
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AI and Machine Learning
premium
Azure AI Search data source
Azure AI Search data source is the connection definition an Azure AI Search indexer uses to read content from a supported external data store.
AI platform and search
intermediate
4 commands
Aliases: Search data source, SearchIndexerDataSourceConnection, data source connection, indexer data source, search data source connection
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AI and Machine Learning
premium
Azure AI Search service
Azure AI Search service is the Azure resource that hosts Azure AI Search indexes, indexers, skillsets, keys, capacity, networking, and query endpoints.
AI platform and search
intermediate
4 commands
Aliases: AI Search resource, AI Search service, Azure Search service, Search service, search service
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AI and Machine Learning
premium
Azure AI Search skillset
Azure AI Search skillset is a reusable Azure AI Search enrichment object that applies built-in or custom processing during indexer execution.
AI platform and search
intermediate
4 commands
Aliases: AI enrichment skillset, Search skillset, cognitive skillset, skillset
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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
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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
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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
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AI and Machine Learning
premium
Azure AI Translator
A cloud-based machine translation service for translating text and documents across supported languages through REST APIs and client libraries.
AI services
intermediate
4 commands
Aliases: Azure Translator, Document Translation, Text Translation, Translator
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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
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AI and Machine Learning
premium
AI tracing
AI tracing captures execution telemetry for generative AI applications and agents, including model calls, prompts, tool invocations, retrieval steps, latency, token usage, errors, and run relationships so teams can debug and monitor behavior in Microsoft Foundry and Azure Monitor.
AI observability
intermediate
3 commands
Aliases: Foundry tracing, agent tracing, LLM tracing, AI distributed tracing
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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
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Monitoring
premium
Application Insights
Application Insights is the application performance monitoring capability in Azure Monitor. It collects OpenTelemetry or SDK telemetry such as requests, dependencies, exceptions, traces, metrics, and availability results so teams can continuously understand live application health, performance, failures, and user-impacting behavior.
Application observability
fundamentals
4 commands
Aliases: Azure Application Insights, App Insights, Azure Monitor Application Insights, application performance monitoring, APM
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Monitoring and Observability
premium
Azure dashboard
A customizable Azure portal view for organizing resource tiles, metrics, charts, links, and operational context into private or shared dashboards.
Visualization
fundamentals
4 commands
Aliases: Azure portal dashboard, Portal dashboard
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Web
premium
Health Check
Health Check is an App Service setting that pings a configured path so Azure can detect unhealthy application instances and route traffic away from them.
App Service
beginner
4 commands
Aliases: App Service health check, health endpoint check, Health Check, health-check
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AI and Machine Learning
premium
AI evaluation
AI evaluation is the Microsoft Foundry process of testing a generative AI model, agent, or application against a dataset and measuring its quality, safety, and task performance with built-in or custom evaluators.
Microsoft Foundry
intermediate
3 commands
Aliases: Azure AI evaluation, Foundry evaluation, generative AI evaluation, model evaluation
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AI and Machine Learning
premium
AI red teaming
AI red teaming is the practice of probing a generative AI system with adversarial prompts, attack strategies, and risk categories to discover unsafe behavior, jailbreak weaknesses, and harmful-output paths before or after deployment.
Responsible AI
advanced
3 commands
Aliases: AI Red Teaming Agent, red team scan, adversarial AI testing, LLM red teaming
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Monitoring and Observability
premium
Azure Monitor
Azure Monitor is Microsoft’s unified observability service for collecting, analyzing, and acting on telemetry from Azure, hybrid, and application workloads. It brings together metrics, logs, traces, events, alerts, workbooks, and Application Insights capabilities so teams can understand health, performance, and reliability.
Monitoring
fundamentals
3 commands
Aliases: Azure Monitor, Monitor, Azure observability, Log Analytics, Application Insights, Azure metrics and logs
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Containers
premium
Container Insights
Azure Monitor views and data collection used to understand Kubernetes cluster and workload health
Monitoring
intermediate
3 commands
Aliases: No aliases yet
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AI and Machine Learning
verified
Responsible AI dashboard
Microsoft Learn describes the Responsible AI dashboard as a single interface for putting Responsible AI into practice in Azure Machine Learning. It brings together tools for model debugging, cohort analysis, interpretability, counterfactuals, causal insights, error analysis, and shareable scorecards for registered models.
Azure Machine Learning
intermediate
7 commands
Aliases: RAI dashboard, Responsible AI insights, model debugging dashboard, Responsible AI scorecard, fairness dashboard
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AI and Machine Learning
command-rich
Data source in AI Search
Data source in AI Search is documented by Microsoft as part of the Azure AI Search area in Azure.
Azure AI Search
intermediate
6 commands
Aliases: No aliases yet
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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
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Web
strict-validated
App Service health check path
An App Service health check path is the URL path App Service probes to determine whether each app instance is healthy enough to receive traffic.
App Service operations
intermediate
5 commands
Aliases: Azure App Service health check path, app service health check path
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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
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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
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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
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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
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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
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Databases
premium
Azure Database for PostgreSQL Flexible Server
A fully managed Azure PostgreSQL service with configurable compute, storage, backups, networking, maintenance, extensions, and high availability options.
Managed PostgreSQL
intermediate
5 commands
Aliases: PostgreSQL Flexible Server
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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
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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
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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
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Storage
premium
Azure Managed Lustre
Azure Managed Lustre is a managed parallel file system for high-performance computing and AI workloads that need scalable, low-latency file storage in Azure.
Parallel file systems
advanced
5 commands
Aliases: Managed Lustre, Azure Managed Lustre File System, AMLFS
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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
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Storage
premium
Azure Site Recovery vault
An Azure Site Recovery vault is a Recovery Services vault used to manage replication, failover, and recovery metadata for Site Recovery.
Backup and recovery
intermediate
5 commands
Aliases: ASR vault, Azure Site Recovery vault, Recovery Services vault, Site Recovery Recovery Services vault
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Management and Governance
premium
Policy Insights
Policy Insights is where Azure Policy compliance evidence becomes queryable. Azure Policy definitions and assignments describe what should happen, but Policy Insights shows what Azure observed after evaluation. It stores state records that show current compliance and event records that show recent evaluation activity. Operators use it to answer questions such as which resources are non-compliant, which assignment is responsible, when the state changed, and whether remediation improved results. It turns policy from a static rule set into operational telemetry.
Azure Policy
intermediate
5 commands
Aliases: Policy Insights, policy-insights
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Monitoring and Observability
premium
Service Health alert
A Service Health alert is an Azure Monitor activity log alert that watches ServiceHealth events for selected subscriptions, regions, and services. It routes incident, planned maintenance, security, or health advisory notifications to action groups so teams learn about platform issues before users report symptoms.
Operational hygiene
intermediate
5 commands
Aliases: Azure Service Health alert, Service Health alert, ServiceHealth activity log alert, platform health alert, service health alert, service-health-alert
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AI and Machine Learning
premium
AI connection
AI connection is a Microsoft Foundry project connection that links the project to an external or Azure resource such as models, storage, search, or services. In everyday Azure work, teams use it to let AI applications and agents use approved resources without every prototype hardcoding endpoints and credentials. The useful evidence is connection name, target
AI platform
intermediate
4 commands
Aliases: Foundry connection, AI project connection, connected resource, AI service connection
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Management and Governance
premium
Azure Advisor
Azure Advisor is the Azure recommendation service that reviews resource configuration and usage signals, then suggests best-practice actions for healthier cloud deployments. In Azure, teams encounter it when platform teams need a prioritized backlog for cost savings, reliability fixes, security hardening, performance improvements, and operational excellence. The useful question is what behavior it proves, who
Optimization
fundamentals
4 commands
Aliases: Advisor, Azure Advisor recommendations, Advisor score
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Hybrid and Multicloud
premium
Azure Arc-enabled server
A Windows or Linux physical server or virtual machine outside Azure that is connected to Azure Arc and managed as an Azure resource.
Hybrid management
fundamentals
4 commands
Aliases: Arc-enabled server, Azure Arc server, connected machine, hybrid machine
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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
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