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AI and Machine Learning premium Compute cluster a managed Azure Machine Learning pool of CPU or GPU nodes that runs training, batch inference, and other jobs for a workspace Machine learning Intermediate 3 commands Aliases: No aliases yet Quick peek Open full term page

AI and Machine Learning premium Compute instance a managed Azure Machine Learning cloud workstation used by one data scientist or engineer for notebooks, experimentation, development, and lightweight testing Azure Machine Learning Beginner 3 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Azure SQL serverless compute Run development, test, training, or demo databases that need full SQL behavior but sit idle outside work hours.; Support tenant databases with sporadic activity where provisioned compute would waste budget for long idle Azure SQL Database fundamentals 5 commands Aliases: Azure SQL serverless compute Quick peek Open full term page

Databases premium PostgreSQL burstable compute PostgreSQL burstable compute is the Burstable pricing tier for Azure Database for PostgreSQL flexible server. It uses B-series virtual machine sizes for workloads with modest average CPU demand that may need occasional bursts instead of continuously provisioned high performance. safely. PostgreSQL flexible server fundamentals 5 commands Aliases: Azure PostgreSQL B-series, Flexible Server burstable compute, PostgreSQL Burstable tier Quick peek Open full term page

Databases premium PostgreSQL general purpose compute PostgreSQL General Purpose compute is the middle production tier for Azure Database for PostgreSQL flexible server. It is meant for workloads that need steadier CPU and memory than Burstable, but do not need the higher memory profile of Memory Optimized. Teams use it when a database serves real users, background jobs, APIs, or reporting workloads with predictable demand. The choice affects cost, concurrency, high availability eligibility, and scaling options. It is not a magic performance setting; it is a capacity tier that still needs good indexes, query design, connection pooling, and monitoring. PostgreSQL flexible server fundamentals 5 commands Aliases: PostgreSQL general purpose compute, postgresql general purpose compute, Azure Database for PostgreSQL flexible server Quick peek Open full term page

Databases premium Serverless compute tier Serverless compute tier in Azure SQL Database automatically scales compute for single databases, bills compute per second while active, can pause during inactivity, and resumes when activity returns. It is available in General Purpose and Hyperscale, with auto-pause support limited to General Purpose. Azure SQL Database fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

Compute premium Azure Compute Gallery A service for organizing, versioning, replicating, and sharing VM images and application packages across Azure subscriptions, tenants, and regions. Disks and images intermediate 4 commands Aliases: Shared Image Gallery Quick peek Open full term page

AI and Machine Learning premium Machine Learning compute instance A Machine Learning compute instance is a managed cloud workstation inside Azure Machine Learning for notebooks, development, testing, and lightweight training. It gives one owner an integrated environment connected to the workspace, while administrators manage access, networking, schedules, and cost controls. Machine learning intermediate 4 commands Aliases: Azure ML compute instance, ML compute instance Quick peek Open full term page

AI and Machine Learning premium ML compute cluster ML compute cluster is a managed Azure Machine Learning compute target that scales virtual machine nodes for jobs, pipelines, and batch inference workloads. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline. Azure Machine Learning intermediate 4 commands Aliases: AML compute cluster, AmlCompute, Azure ML compute cluster, managed ML cluster Quick peek Open full term page

AI and Machine Learning premium ML compute instance ML compute instance is a managed Azure Machine Learning development workstation used for notebooks, experimentation, debugging, and interactive data science work. Teams should manage it with clear ownership, monitoring, rollback evidence, and production change discipline. Azure Machine Learning intermediate 4 commands Aliases: AML compute instance, Azure ML compute instance, ML development VM, cloud workstation Quick peek Open full term page

Databases premium MySQL burstable compute MySQL burstable compute means a low-cost MySQL Flexible Server compute tier for workloads with intermittent CPU demand and available burst credits. You see it when teams run development, test, demo, pilot, or seasonal databases that are idle often but occasionally spike. Think of it as cheap compute for uneven demand, not a production safety net for sustained load. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path. MySQL flexible server fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium MySQL business critical compute MySQL business critical compute means a higher-performance MySQL Flexible Server compute choice for sustained production workloads that need stronger capacity and headroom. You see it when teams support payment, commerce, SaaS, analytics, or other databases with predictable high concurrency and business deadlines. Think of it as premium database capacity selected from measured demand, not from fear or guesswork. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path. MySQL flexible server fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium MySQL general purpose compute MySQL general purpose compute means the balanced MySQL Flexible Server compute tier for steady production workloads that need predictable capacity without premium cost. You see it when teams run customer applications, internal services, reporting databases, and line-of-business systems with regular demand. Think of it as balanced production capacity that should be sized from metrics. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path. Azure Database for MySQL fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium MySQL server compute tier MySQL server compute tier means the capacity family that determines the compute and memory shape for an Azure Database for MySQL server. You see it when teams size production databases, development systems, migrations, reporting workloads, and seasonal applications. Think of it as a capacity and cost decision that should match measured workload demand. It matters because the setting changes how teams design, secure, operate, and troubleshoot the workload. Before changing it in production, know the owner, dependency, evidence, expected result, and rollback path. Azure Database for MySQL fundamentals 4 commands Aliases: No aliases yet Quick peek Open full term page

Databases field-manual-complete PostgreSQL memory optimized compute PostgreSQL Memory Optimized compute is the tier you choose when the database needs more memory per CPU than a normal balanced server provides. It is often used for busy transactional systems, analytical queries, large working sets, connection-heavy applications, and workloads where caching more data in memory reduces disk pressure. It is not a magic performance switch. Teams still need good indexing, query design, storage sizing, and monitoring. The tier costs more than smaller options, so it should be chosen because evidence shows memory is the limiting factor. PostgreSQL flexible server fundamentals 5 commands Aliases: Memory Optimized PostgreSQL, PostgreSQL memory optimized tier, E-series PostgreSQL compute Quick peek Open full term page

Databases field-manual-complete PostgreSQL server compute tier A PostgreSQL server compute tier is the performance-and-cost lane you choose for an Azure Database for PostgreSQL flexible server. Burstable is for small or variable workloads, General Purpose is the common production middle ground, and Memory Optimized is for workloads that need more memory per vCore. The tier is not just a label. It affects how much CPU and memory the database can use, whether high availability is available, how... PostgreSQL flexible server fundamentals 5 commands Aliases: No aliases yet Quick peek Open full term page

Analytics learning-path-anchor Synapse Spark pool A Synapse Spark pool is the workspace compute definition Azure Synapse uses to start Apache Spark sessions. It records node size, node count, autoscale behavior, runtime version, packages, and idle timeout so notebooks, Spark jobs, and pipelines get repeatable distributed processing. Synapse Analytics fundamentals 8 commands Aliases: Apache Spark pool, Spark pool, Synapse Apache Spark pool, serverless Spark pool Quick peek Open full term page

Analytics learning-path-anchor Synapse SQL on-demand Synapse SQL on-demand is the serverless SQL pool model in Azure Synapse Analytics. It lets teams run T-SQL queries over data in the lake without provisioning dedicated warehouse capacity, storing only metadata objects while using external data sources, views, functions, and security objects. Synapse Analytics fundamentals 6 commands Aliases: SQL on-demand, Synapse serverless SQL, serverless SQL in Synapse, built-in serverless SQL pool Quick peek Open full term page

Analytics learning-path-anchor Synapse Studio Synapse Studio is the browser-based workspace experience for Azure Synapse Analytics. It exposes hubs for data, development, integration, monitoring, and management, letting users author notebooks and SQL scripts, build pipelines, configure connections, review access, and work with Git-backed or live artifacts. Synapse Analytics fundamentals 6 commands Aliases: Azure Synapse Studio, Synapse web workspace, Synapse workspace UI, Synapse authoring experience Quick peek Open full term page

Analytics learning-path-anchor Databricks notebook A collaborative Azure Databricks document for code, SQL, visualizations, exploration, jobs, and ML workflows attached to compute. Databricks fundamentals 4 commands Aliases: Azure Databricks notebook, Databricks workspace notebook, interactive notebook Quick peek Open full term page

Analytics learning-path-anchor Databricks SQL warehouse A Databricks SQL compute resource for interactive queries, dashboards, BI tools, and governed analytics workloads. Databricks intermediate 4 commands Aliases: SQL warehouse, Databricks SQL compute, serverless SQL warehouse Quick peek Open full term page

Databases learning-path-anchor Cosmos DB dedicated gateway Azure Cosmos DB dedicated gateway is provisioned server-side compute that fronts an account and enables the integrated cache for supported NoSQL workloads. Azure Cosmos DB fundamentals 3 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB physical partition Cosmos DB physical partition means a fully managed internal storage and compute partition that hosts ranges of logical partition keys in Azure Cosmos DB. In plain English, it is the thing developers and operators check when they need to understand how data access really works. It connects the application model to automatic scale-out, replica placement, RU distribution, and operational signals such as hot partition diagnostics. For a production team, it turns vague database talk into a specific thing to inspect in the portal, SDK code, templates, metrics, and incident notes. Azure Cosmos DB intermediate 7 commands Aliases: No aliases yet Quick peek Open full term page

Analytics premium Databricks job A scheduled or triggered Databricks workflow that runs one or more tasks using configured compute, parameters, retries, notifications, and access controls. Azure Databricks fundamentals 7 commands Aliases: Databricks workflow job, Lakeflow Job, Databricks Jobs Quick peek Open full term page

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 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

Storage premium Data Lake analytics workload A production analytics workload that stores, transforms, governs, and serves large data sets from a data lake using Azure services such as ADLS Gen2, Data Factory, Databricks, Synapse, or Fabric. Data Lake Storage Intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Analytics premium Databricks cluster A Databricks compute resource that runs notebooks, jobs, libraries, Spark workloads, and data processing tasks using configured runtime, workers, policies, and access controls. Azure Databricks fundamentals 6 commands Aliases: Databricks compute, Azure Databricks compute cluster, classic cluster Quick peek Open full term page

Analytics premium Databricks cluster policy A Databricks governance object that limits which cluster settings users can choose, helping control cost, security, runtime consistency, and workload standards. Azure Databricks intermediate 6 commands Aliases: Databricks compute policy, cluster policy, compute policy Quick peek Open full term page

Analytics premium Databricks managed resource group The Azure resource group created or referenced for Databricks-managed infrastructure that supports a workspace and its classic compute resources. Azure Databricks intermediate 6 commands Aliases: managed resource group, Azure Databricks managed resource group, workspace managed resource group Quick peek Open full term page

Databases premium DTU model The DTU model is an Azure SQL Database purchasing model that bundles compute, memory, and I/O into service tiers and service objectives such as Basic, Standard, and Premium. Azure SQL fundamentals 6 commands Aliases: DTU purchasing model, Azure SQL DTU model Quick peek Open full term page

AI and Machine Learning premium Experiment An Experiment in Azure Machine Learning groups related runs so parameters, metrics, artifacts, models, and lineage can be tracked and compared. Teams use it to organize model training, evaluation, and tuning work so teams can compare runs and reproduce how a model version was produced. It is not a deployed endpoint, a registered model, a notebook file, a compute cluster, or proof that a model is fair, secure, or production-ready. In production, confirm workspace, experiment name, run IDs, parameters, metrics, artifacts, data version, environment, compute target, model registration, owner, and promotion criteria before treating the design as healthy or ready. Machine learning intermediate 6 commands Aliases: Azure ML experiment, MLflow experiment, machine learning experiment Quick peek Open full term page

Analytics premium Fabric capacity A Fabric capacity is a dedicated pool of compute resources that powers Microsoft Fabric workloads assigned to workspaces. Teams use it to provide shared compute for Fabric workspaces, reports, lakehouses, warehouses, notebooks, pipelines, and real-time workloads under an assigned capacity SKU. It is not a single workspace, a Power BI report, a storage account, a Databricks cluster, or a guarantee that every tenant workload has unlimited performance. In production, confirm capacity name, SKU, region, admin list, assigned workspaces, workload settings, metrics app evidence, throttling, refresh history, pause state, billing owner, and reservation or scaling plan before treating the design as. Microsoft Fabric intermediate 6 commands Aliases: Microsoft Fabric capacity, Fabric F SKU, Fabric compute capacity Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

Databases premium Flexible server A flexible server is the Azure Database deployment model for managed PostgreSQL or MySQL servers with configurable compute, storage, availability, maintenance, backup, and networking options. Teams use it to host managed relational databases with more control over maintenance windows, compute tiers, backup retention, high availability, private networking, stop-start behavior, and performance settings. It is not a self-managed VM database, a single-server compatibility promise, a free unlimited database tier, or proof that schema design, indexes, failover, and application connection pooling are correct. Azure managed databases intermediate 6 commands Aliases: Azure Database flexible server, PostgreSQL flexible server, MySQL flexible server, managed flexible database server Quick peek Open full term page

Web premium Functions Premium plan Functions Premium plan is a hosting plan for Azure Functions that keeps capacity ready while still supporting event-driven scaling for serverless workloads. Teams use it to reduce cold starts, run longer or heavier functions, use VNet integration, and control minimum and maximum capacity more deliberately than Consumption hosting. In daily Azure work, it appears when engineers stabilize latency-sensitive APIs, connect functions to private dependencies, prepare for event spikes, or replace overprovisioned dedicated App Service capacity. It is not a free tier, a guarantee that code is efficient, unlimited scale, or a substitute for trigger tuning and dependency performance testing. Azure Functions hosting advanced 6 commands Aliases: Elastic Premium plan, Azure Functions Premium, EP plan Quick peek Open full term page

Compute premium Gallery image version Gallery image version is a specific published version of a gallery image that virtual machines and scale sets can use as their source. Teams use it to roll out tested OS and application baselines with version numbers, regional replication, retirement dates, and rollback options. In daily Azure work, it appears when engineers promote a golden image, deploy identical VMs across regions, retire vulnerable builds, or troubleshoot why a new VM used the wrong baseline. It is not the image family definition, a live VM, an operating system patch job, or proof that every deployed VM remains compliant after boot. Disks and images intermediate 6 commands Aliases: Azure Compute Gallery image version, SIG image version, image version Quick peek Open full term page

AI and Machine Learning premium Pipeline job In Azure Machine Learning, a pipeline job is a parent job that orchestrates connected command or sweep jobs as steps. It defines inputs, outputs, compute, settings, and step dependencies so reusable training, evaluation, or data-preparation workflows can run repeatably in a workspace. Machine learning intermediate 6 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium PostgreSQL flexible server The managed Azure PostgreSQL server resource that owns compute, storage, backups, networking, high availability, parameters, and databases. PostgreSQL flexible server fundamentals 6 commands Aliases: PostgreSQL flexible server, postgresql flexible server, Azure Database for PostgreSQL flexible server, managed PostgreSQL, backup retention, high availability, private access Quick peek Open full term page

AI and Machine Learning verified Prompt flow Prompt flow is a way to build and test an AI application as a flow instead of a single prompt. A flow can connect prompts, Python logic, tools, inputs, outputs, variants, and evaluation steps. In Microsoft Foundry classic and Azure Machine Learning, it helped teams prototype, debug, compare, deploy, and monitor LLM-based applications. In 2026, it is also a migration topic because Microsoft announced that feature development ended and full retirement is planned for April 20, 2027. Azure Machine Learning advanced 18 commands Aliases: No aliases yet Quick peek Open full term page

Compute premium Accelerated networking for VM Accelerated networking is a VM network performance feature. When the VM size and OS support it, Azure can send packets through a faster path that reduces CPU work, latency, and jitter. It is most useful for network-intensive workloads. Virtual Machines intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Containers premium AKS Linux node pool An AKS Linux node pool is a group of Linux-based nodes with shared configuration that runs Kubernetes workloads in an AKS cluster. Node pools let teams separate system components, application workloads, VM sizes, zones, scaling behavior, taints, labels, and upgrade settings. AKS compute Intermediate 5 commands Aliases: Azure Kubernetes Service Linux node pool, aks linux node pool Quick peek Open full term page

Containers premium AKS node Microsoft Learn explains that AKS nodes are the virtual machines that run your containerized applications, grouped into node pools with the same configuration. System node pools host core cluster pods, while user node pools typically host application workloads and can differ by size, operating system, taints, or purpose. AKS compute intermediate 5 commands Aliases: AKS cluster node, Kubernetes node in AKS, AKS VM node Quick peek Open full term page

Web premium App Service Environment Microsoft Learn describes App Service Environment as a single-tenant App Service deployment that runs in a customer virtual network. It hosts App Service plans and apps with stronger network isolation, dedicated compute boundaries, and high-scale hosting compared with the public multitenant App Service model. App Service isolation intermediate 5 commands Aliases: ASE, Azure App Service Environment, app service environment Quick peek Open full term page

Web premium App Service Linux worker An App Service Linux worker is the Linux-based App Service compute instance that runs an app using a built-in Linux runtime stack or custom container. App Service runtime intermediate 5 commands Aliases: Azure App Service Linux worker, app service linux worker Quick peek Open full term page

Web premium App Service Plan Microsoft Learn describes an App Service plan as the set of compute resources where App Service apps run. The plan defines region, operating system, pricing tier, instance size, scale capacity, and feature availability for one or more hosted apps within the same compute boundary. App Service hosting plans intermediate 5 commands Aliases: Azure App Service plan, serverfarm, App Service hosting plan Quick peek Open full term page

Web premium App Service Windows worker App Service Windows worker is a Windows-based worker instance in an App Service plan that runs Windows App Service apps and shares compute with other apps placed in the same plan. 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 Platform intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Azure Database for MySQL Flexible Server A fully managed Azure database service for MySQL workloads with configurable compute, storage, backups, networking, maintenance, and high availability options. Managed MySQL intermediate 5 commands Aliases: MySQL Flexible Server Quick peek Open full term page

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 Quick peek Open full term page