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Networking
premium
Load Balancer
Azure Load Balancer distributes TCP and UDP traffic across backend virtual machines, virtual machine scale sets, or IP configurations. It uses frontend IPs, backend pools, health probes, and rules to provide low-latency Layer 4 traffic distribution for public or internal workloads.
Load balancing
fundamentals
4 commands
Aliases: Azure Load Balancer, Standard Load Balancer, internal load balancer, public load balancer, layer 4 load balancer
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Networking
premium
Load balancer frontend IP
Microsoft Learn describes a Load Balancer frontend IP configuration as the address-facing entry point that receives client traffic for a load balancer. It can use a public or private IP address and is connected to rules, probes, and backend pools.
Application delivery and API edge
intermediate
4 commands
Aliases: No aliases yet
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Networking
premium
Load balancer rule
Microsoft Learn describes a load-balancing rule as the configuration that maps a frontend IP address and port to backend pool addresses and ports. The rule defines how incoming traffic is distributed and which health probe validates backend availability. Operators should review it with the connected Azure resource settings.
Application delivery and API edge
intermediate
4 commands
Aliases: No aliases yet
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Compute
premium
Flexible orchestration
Flexible orchestration is a Virtual Machine Scale Sets mode that lets Azure manage a group of VMs while exposing individual instances through standard Azure IaaS VM APIs. Teams use it to run highly available or mixed virtual machine workloads that need scale-set grouping, instance-level VM control, spreading, load balancing, and more flexible lifecycle management than uniform orchestration. It is not an autoscale rule by itself, a way to change an existing scale set orchestration mode after creation, a replacement for application failover, or a guarantee that every VM size supports every feature.
Virtual Machine Scale Sets
intermediate
6 commands
Aliases: VMSS flexible orchestration, Flexible scale set orchestration, Azure VM Scale Sets flexible mode
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Networking
premium
Front Door origin group
A Front Door origin group is a logical grouping of origins that receives similar traffic and controls health probing and load balancing behavior.
Application delivery and API edge
intermediate
5 commands
Aliases: Azure Front Door origin group, AFD origin group, backend pool in Front Door, origin pool
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Virtual Desktop Infrastructure
premium
Host pool
A host pool is a collection of Azure Virtual Desktop session hosts that deliver desktops or RemoteApp applications to assigned users.
Azure Virtual Desktop
fundamentals
5 commands
Aliases: Host pool, host pool
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Containers
premium
Azure CNI
An AKS networking approach where CNI plugins assign pod addresses, route pod traffic, and integrate Kubernetes networking with Azure virtual networks.
Kubernetes networking
fundamentals
4 commands
Aliases: Azure Container Networking Interface
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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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Web
field-manual-complete
Premium v4 App Service tier
Premium v4 is the App Service tier you choose when a production web app, API, or container needs stronger dedicated workers than older premium tiers provide. It is still App Service, so Azure manages the platform, patching, load balancing, deployment slots, and scale controls. The difference is the worker profile: faster processors, NVMe-backed local storage, and memory-optimized options. Use it when measured CPU, memory, startup, or local I/O pressure justifies a larger plan, not as a blind fix for every slow request.
App Service plans
intermediate
5 commands
Aliases: No aliases yet
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Compute
verified
Proximity placement group
A proximity placement group keeps Azure compute resources physically close to reduce latency.
Performance
intermediate
5 commands
Aliases: No aliases yet
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Analytics
premium
Auto Loader
Auto Loader is the Azure Databricks feature that watches cloud storage and brings in new files without forcing engineers to rescan everything manually. In plain terms, it is a safer ingestion pattern for folders that keep receiving CSV, JSON, Parquet, images, or other data files. It can process existing files, then continue with new.
Analytics platform
intermediate
4 commands
Aliases: Databricks Auto Loader, cloudFiles, Auto Loader cloud files, Lakeflow Auto Loader
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Networking
premium
Load balancer health probe
Microsoft Learn describes an Azure Load Balancer health probe as the check that determines whether backend pool instances are healthy enough to receive new traffic. Probe configuration includes protocol, port, interval, and threshold choices that influence traffic distribution. Operators should review it with the connected Azure resource settings.
Application delivery and API edge
intermediate
4 commands
Aliases: No aliases yet
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Networking
field-manual-complete
Load balancer backend pool
Microsoft Learn describes a backend pool as the collection of resources that receive traffic from an Azure Load Balancer. Backend pools can include instances added through network interfaces or IP addresses, and multiple pools can serve different traffic groups.
Application delivery and API edge
intermediate
4 commands
Aliases: No aliases yet
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Analytics
learning-path-anchor
Synapse SQL external table
A Synapse SQL external table is database metadata that lets Synapse SQL query files stored outside the database, usually in Azure Storage or ADLS Gen2. It references an external data source, file format, and file location for governed SQL analytics.
Synapse Analytics
fundamentals
6 commands
Aliases: external table in Synapse, Synapse external table, SQL external table, external table over lake files
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Analytics
learning-path-anchor
Synapse workload group
A Synapse workload group is a dedicated SQL pool workload management object that reserves, caps, and grants resources for classified requests. It uses settings such as MIN_PERCENTAGE_RESOURCE, CAP_PERCENTAGE_RESOURCE, and request resource grant percentages to shape isolation, containment, concurrency, and execution behavior.
Synapse Analytics
fundamentals
5 commands
Aliases: workload group in Synapse, dedicated SQL pool workload group, CREATE WORKLOAD GROUP, Synapse workload isolation group
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Databases
learning-path-anchor
Synthetic partition key
A synthetic partition key is a partition key value you create because no single natural field distributes Cosmos DB data well enough. For example, tenantId alone may create one huge tenant partition, while date alone may concentrate today's traffic. A synthetic key might combine tenant, region, and date bucket into one stored value that...
Cosmos DB
intermediate
5 commands
Aliases: generated partition key, composite partition key value, calculated partition key, synthetic key
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AI and Machine Learning
learning-path-anchor
System message
A system message is the instruction layer that tells an Azure OpenAI chat model how it should behave before it answers the user's request. It can define the assistant's role, tone, allowed sources, formatting rules, safety boundaries, and refusal behavior. It is stronger than an ordinary user message, but it is not magic and...
Azure OpenAI
fundamentals
5 commands
Aliases: system prompt, metaprompt, developer instruction, assistant instruction
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Analytics
learning-path-anchor
Synapse workload classifier
A Synapse workload classifier is a dedicated SQL pool workload management rule that assigns incoming requests to a workload group and importance level. It can classify by user or role, query label, session context, and time window so different workloads receive different resource behavior.
Synapse Analytics
fundamentals
3 commands
Aliases: workload classifier in Synapse, dedicated SQL pool classifier, CREATE WORKLOAD CLASSIFIER, Synapse classification rule
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AI and Machine Learning
command-rich
Search admin key
A search admin key is one of the generated API keys for an Azure AI Search service that allows full read-write data-plane access. It can create, update, or delete indexes, indexers, data sources, and documents, so it must be protected, rotated, and replaced with role-based access when possible.
Azure AI Search
fundamentals
5 commands
Aliases: Azure AI Search admin key, search service admin key, Azure Search API admin key, primary admin key, secondary admin key
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Analytics
command-rich
Watermark column
In Azure Data Factory incremental copy patterns, a watermark column is a source column, often a last-modified timestamp or increasing key, used to identify rows created or changed since the previous run. The maximum value becomes the next stored watermark.
Data engineering and analytics
intermediate
5 commands
Aliases: incremental copy watermark column, high watermark column, delta load column, LastModified watermark
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Analytics
premium
Synapse SQL
Synapse SQL is the T-SQL analytics capability in Azure Synapse Analytics. It includes dedicated SQL pools for provisioned warehousing and serverless SQL pools for on-demand lake queries, letting teams analyze structured and semi-structured data through familiar SQL endpoints inside a Synapse workspace.
Synapse Analytics
intermediate
7 commands
Aliases: Synapse SQL engine, Azure Synapse SQL, Synapse serverless and dedicated SQL, SQL analytics in Synapse
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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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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
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Databases
premium
Bulk executor
Bulk executor is the Azure Cosmos DB capability or library pattern for sending many create, update, patch, delete, or import operations efficiently instead of processing documents one at a time.
Data platform
intermediate
6 commands
Aliases: No aliases yet
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Networking
premium
DDoS Protection
Azure DDoS Protection is a network-layer protection service that helps defend Azure public IP resources against distributed denial-of-service attacks using always-on traffic monitoring, adaptive mitigation, telemetry, and response capabilities.
Network security
intermediate
6 commands
Aliases: Azure DDoS Protection, DDoS Network Protection, DDoS IP Protection, distributed denial of service protection
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Containers
premium
Event-driven scale rule
An Event-driven scale rule is a Container Apps scaling configuration that uses event-source metrics to decide how many replicas or job executions to run. Teams use it to connect queue length, event backlog, HTTP load, Kafka lag, or other scaler metadata to automatic scaling decisions. It is not the event source itself, a Kubernetes HPA object, a fixed replica count, or a complete guarantee that the application processes events correctly. In production, confirm scaler type, metadata names, authentication method, min and max replicas, polling interval, cooldown behavior, event source metrics, container revision, and downstream capacity before treating the design as.
Azure Container Apps
intermediate
6 commands
Aliases: KEDA scale rule, Container Apps event scale rule, custom scale rule
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Compute
premium
Fault domain
A Fault domain is a logical group of Azure infrastructure that shares a common failure boundary, such as power, cooling, or network equipment, used to spread related virtual machines. Teams use it to reduce the chance that one physical infrastructure problem takes down every instance of the same application tier at the same time. It is not an availability zone, backup copy, application health probe, exact rack identifier exposed to customers, or guarantee that every dependency is isolated from every other dependency.
Virtual Machines
intermediate
6 commands
Aliases: Azure fault domain, platform fault domain, availability set fault domain, VM fault domain
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Analytics
premium
PolyBase
PolyBase lets a SQL engine work with files stored outside the database, especially in Azure Storage or Azure Data Lake Storage. In Azure Synapse dedicated SQL pool, teams use it to define external data sources, file formats, and external tables, then load data into warehouse tables with T-SQL. It is useful when data lands in a lake first and the warehouse needs a scalable way to read or ingest it. PolyBase is not a pipeline by itself; it is the SQL-side external data access pattern.
Synapse Analytics
advanced
6 commands
Aliases: polybase, PolyBase
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Integration
premium
Service Bus
Azure Service Bus is a fully managed enterprise message broker with message queues and publish-subscribe topics. It helps decouple applications and services, load-balance work across competing consumers, route data across boundaries, and coordinate transactional workflows that require reliable messaging, ordering, sessions, duplicate detection, and dead-letter handling.
Messaging
fundamentals
6 commands
Aliases: Azure Service Bus, Service Bus Messaging
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Containers
premium
AKS managed identity
An AKS managed identity is a Microsoft Entra identity that an AKS cluster uses to manage Azure resources without stored service principal secrets.
AKS identity
Intermediate
5 commands
Aliases: Azure Kubernetes Service managed identity, aks managed identity
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Web
premium
App Service scale rule
App Service scale rule is an autoscale rule or automatic scaling configuration that changes App Service capacity when metric thresholds, schedules, or platform load signals require more or fewer instances. Use it to reason about App Service behavior, validate configuration with CLI, and prevent hidden production impact from networking, scaling, recovery, security, or observability changes.
App Service Scaling
intermediate
5 commands
Aliases: No aliases yet
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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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Virtual Desktop Infrastructure
premium
Azure Virtual Desktop
Azure Virtual Desktop is a desktop and app virtualization service that runs on Azure, delivering Windows desktops and RemoteApp experiences with host pools, session hosts, and flexible control.
Virtual desktops
fundamentals
5 commands
Aliases: AVD
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Networking
premium
Front Door
Azure Front Door is Microsoft’s global edge service for modern web applications. Microsoft Learn describes it as a cloud CDN that provides fast, reliable, and secure access to static and dynamic content through Microsoft’s global edge network worldwide.
Application delivery and API edge
intermediate
5 commands
Aliases: Azure Front Door, AFD, Azure Front Door Standard, Azure Front Door Premium, global edge
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Analytics
premium
Incremental copy
Incremental copy is the Azure concept that controls how data platforms move changes without reprocessing every source row or file. Teams see it when working with data factory pipelines, copy activity. It is not a full reload, a one-time migration, a backup job, or a blind append into a lake; that distinction matters because bad assumptions create duplicate records, missed changes. Use the term when reviewing ownership, access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same resource, setting, or behavior.
Azure Data Factory
Intermediate
5 commands
Aliases: incremental load, delta copy, watermark copy, CDC copy, last modified copy
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AI and Machine Learning
premium
Index
Index is the Azure concept that controls how searchable content is structured, loaded, queried, filtered, ranked, and measured in Azure AI Search. Teams see it when working with azure ai search indexes, index schemas. It is not a SQL B-tree index, a Cosmos DB indexing policy, an indexer, or a data source; that distinction matters because bad assumptions create failed queries, schema rebuilds. Use the term when reviewing ownership, access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same resource, setting, or behavior.
Azure AI Search
Fundamentals
5 commands
Aliases: search index, Azure AI Search index, index schema, searchable index
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AI and Machine Learning
premium
Indexer
Indexer is the Azure concept that controls how supported external data is pulled, enriched, and written into an Azure AI Search index. Teams see it when working with azure ai search indexers, data sources. It is not a search index, a data source, a crawler outside Azure AI Search, or a Data Factory pipeline; that distinction matters because bad assumptions create stale search content, failed enrichment. Use the term when reviewing ownership, access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same resource, setting, or behavior.
Azure AI Search
Intermediate
5 commands
Aliases: Azure AI Search indexer, search indexer, data source crawler, indexing job
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Networking
premium
Ingress
Ingress controls how users, APIs, partners, and internal services can reach a workload and which network controls protect that entry point. Teams see it in container apps ingress settings, kubernetes ingress controllers. It is not egress, a firewall rule alone, a load balancer backend pool, or an application route inside code; confusing them can create public exposure, unreachable apps. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior.
Application Networking
Fundamentals
5 commands
Aliases: incoming application traffic, inbound app traffic, Container Apps ingress, external ingress, internal ingress
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Containers
premium
Internal ingress
Internal ingress controls whether a Container Apps workload can receive traffic only from internal callers such as APIs, jobs, service meshes, or workloads on connected networks. Teams see it in container apps ingress settings, managed environments. It is not external ingress, private endpoint for another service, App Service VNet integration, Kubernetes ingress, or an Azure Firewall rule; confusing them can create public exposure of internal services, unreachable APIs. Use the term when reviewing access, monitoring, cost, recovery, or performance. It keeps architects, operators, security reviewers, and support teams focused on the same setting, resource, or behavior.
Azure Container Apps
Intermediate
5 commands
Aliases: Container Apps internal ingress, private ingress, internal-only ingress, VNet ingress
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Analytics
premium
Kusto ingestion
Kusto ingestion is the process of loading data into Azure Data Explorer tables, where data is validated, mapped, indexed, encoded, and made queryable.
Azure Data Explorer ingestion
Intermediate
5 commands
Aliases: ADX ingestion, Azure Data Explorer ingestion, Kusto data ingestion
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Analytics
premium
Pipeline run
In Azure Data Factory and Azure Synapse, a pipeline run is one execution instance of a pipeline. Each run has a unique run ID, status, timestamps, parameter values, and related activity runs, whether it was started manually, by another pipeline, or by a trigger.
Data Factory
fundamentals
5 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Search indexer
A search indexer is an Azure AI Search component that crawls a supported data source, extracts or enriches content, and loads documents into a search index. It can run on demand or on a schedule. It connects source freshness to searchable content.
Azure AI Search
fundamentals
5 commands
Aliases: Azure AI Search indexer, Azure Search indexer, search crawler, pull indexing pipeline, managed search ingestion, indexer run, indexer schedule, search ingestion job
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AI and Machine Learning
premium
Search partition
A search partition is a capacity unit in Azure AI Search that provides storage and indexing resources for indexes. Increasing partitions expands index storage and can improve throughput for data ingestion and some query workloads. It is configured on the search service capacity model.
Azure AI Search
intermediate
5 commands
Aliases: Azure AI Search partition, Azure Search partition, search service partition, search capacity partition, partition count, search unit partition
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Analytics
premium
Serverless SQL external table
A serverless SQL external table in Azure Synapse SQL is a metadata object that references files in Azure Storage or Azure Data Lake Storage. Serverless SQL pools use native external tables to read external data, map columns, apply supported file formats, and support CETAS export patterns.
Azure Synapse Analytics
intermediate
5 commands
Aliases: No aliases yet
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Analytics
premium
Trigger in Data Factory
In Azure Data Factory, a trigger determines when a pipeline run starts. Microsoft Learn describes manual, schedule, tumbling window, storage event, and custom event triggers; each carries timing, state, event, or dependency information that Data Factory uses to create pipeline runs.
Data integration
fundamentals
5 commands
Aliases: Data Factory trigger, ADF trigger, Azure Data Factory trigger, pipeline trigger in Data Factory
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Web
premium
App Service
Azure App Service is a managed HTTP-based platform for hosting web apps, REST APIs, and mobile back ends without managing the underlying servers. It helps learners understand where the concept appears in Azure operations and what to verify before changing it.
App Service
intermediate
4 commands
Aliases: App Service, app service
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Networking
premium
Application Gateway
Application Gateway is an Azure web traffic load balancer for HTTP and HTTPS applications. It routes requests by host name, path, listener, rule, backend pool, and health status, and can add TLS termination and Web Application Firewall controls when those features are configured.
Application delivery
fundamentals
4 commands
Aliases: Azure Application Gateway, App Gateway, regional layer 7 load balancer, HTTP application load balancer
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Databases
premium
Automatic tuning
Automatic tuning is Azure SQL Database’s built-in assistant for common query performance problems. In plain terms, Azure watches how queries behave and can recommend or apply changes that improve performance, such as index adjustments or plan correction. It is useful when workloads change faster than people can manually tune every query..
Azure SQL
intermediate
4 commands
Aliases: Azure SQL automatic tuning, SQL automatic tuning, automatic plan correction, automatic index tuning
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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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