Search Azure terms

Monitoring and Observability premium Browser telemetry Browser telemetry is client-side performance and usage data collected from web browsers, commonly through the Application Insights JavaScript SDK in Azure Monitor. Frontend performance advanced 3 commands Aliases: No aliases yet Quick peek Open full term page

Monitoring and Observability premium Cumulative Layout Shift a web performance metric that measures how much visible page content unexpectedly moves while a user is trying to read or interact. Web performance advanced 3 commands Aliases: CLS, Core Web Vitals CLS, layout shift metric Quick peek Open full term page

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 Quick peek Open full term page

Databases complete SQL performance recommendation Microsoft Learn describes Azure SQL performance recommendations as portal guidance generated from database workload analysis. Recommendations identify changes such as creating indexes, dropping duplicate indexes, or adjusting schema patterns that could improve performance or correct workload-specific issues, and administrators can review, apply, or script actions. Azure SQL performance tuning intermediate 5 commands Aliases: Azure SQL performance recommendation, Database advisor recommendation, SQL tuning recommendation, Azure SQL advisor recommendation Quick peek Open full term page

Analytics field-manual-complete Kusto query performance Kusto query performance describes how efficiently Azure Data Explorer, Fabric, Azure Monitor, or Sentinel executes KQL, including how much data a query scans, which operators it uses, how resources are consumed, and whether service limits or workload controls affect results. Azure Data Explorer intermediate 4 commands Aliases: No aliases yet Quick peek Open full term page

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 Quick peek Open full term page

Analytics learning-path-anchor Databricks Photon The native vectorized Azure Databricks engine for accelerating eligible SQL, DataFrame, ETL, and streaming workloads. Databricks intermediate 4 commands Aliases: Photon engine, Photon acceleration, Databricks vectorized engine Quick peek Open full term page

Databases learning-path-anchor Table A table is the basic place where structured data lives in a database. Each row is one record, and each column describes one attribute, such as customer ID, order date, amount, or status. In Azure, tables show up in Azure SQL Database, SQL Managed Instance, Synapse dedicated SQL pools, Fabric warehouses, PostgreSQL, MySQL, and... Database intermediate 4 commands Aliases: database table, SQL table, relational table, data table Quick peek Open full term page

Monitoring and Observability learning-path-anchor Throughput Throughput is the amount of work a system completes over time, such as requests, messages, bytes, events, or transactions per second. In Azure, teams measure it with service metrics, logs, and capacity settings to judge whether an app, database, storage account, or messaging pipeline can sustain demand. Performance intermediate 4 commands Aliases: Throughput, throughput, Azure Throughput, Microsoft Learn Throughput, requests per second, events per second, transactions per second, bytes per second, work completed over time Quick peek Open full term page

Monitoring and Observability field-manual-complete Largest Contentful Paint Largest Contentful Paint is a web performance metric that measures how quickly the largest visible content element in the viewport finishes rendering. Microsoft guidance treats it as a loading-experience signal, commonly associated with Core Web Vitals and a target of about 2.5 seconds for good user experience. Web Vitals advanced 2 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB provisioned throughput Cosmos DB provisioned throughput means the request-unit-per-second capacity reserved for a database or container, either manually or with autoscale behavior 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 capacity planning, throttling prevention, RU allocation, cost control, and predictable performance for operational workloads. 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 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

Analytics premium Data Factory Azure’s managed data integration service for creating pipelines that move, transform, schedule, and orchestrate data across cloud, SaaS, and hybrid stores. Data integration and orchestration Intermediate 6 commands Aliases: Data Factory, Data Factory, data factory 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

Databases premium Dead tuples Dead tuples are obsolete PostgreSQL row versions left behind by UPDATE or DELETE operations until VACUUM or autovacuum cleans them up; in Azure Database for PostgreSQL they are an important signal for bloat, storage growth, and query performance. PostgreSQL intermediate 6 commands Aliases: PostgreSQL dead tuples, dead row versions, table bloat tuples, MVCC dead rows Quick peek Open full term page

Networking premium ExpressRoute ExpressRoute lets organizations extend on-premises networks into Microsoft cloud services over private connectivity provided through a connectivity provider. Teams use it to connect datacenters, branches, or colocation environments to Azure with predictable private paths for workloads that need stronger latency, bandwidth, and routing control than public internet connections. It is not a VPN tunnel, a private endpoint, an internet performance guarantee, or proof that every connected application is secure, redundant, or correctly routed. In production, confirm circuit state, provider state, peering configuration, BGP routes, gateway SKU, connected virtual networks, bandwidth, metrics, DNS path, firewall path, and provider escalation details before. Hybrid connectivity intermediate 6 commands Aliases: Azure ExpressRoute, ExpressRoute circuit, private Microsoft cloud connectivity 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

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 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

Databases premium Active connections Active connections are the current database client sessions using a database service. For Azure SQL Database, Azure Monitor exposes this operational signal through metrics such as Sessions count and Sessions percentage, which help operators spot connection leaks, pool pressure, and client behavior that can affect availability. Azure SQL monitoring intermediate 5 commands Aliases: database active sessions, SQL sessions count, database connection count Quick peek Open full term page

Web premium App Service diagnostics Built-in App Service troubleshooting tools and detectors that help diagnose availability, performance, configuration, networking, and runtime problems. It helps learners understand where the concept appears in Azure operations and what to verify before changing it. App Service intermediate 5 commands Aliases: app service diagnostics, diagnostics 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

Analytics premium Azure Data Explorer A fully managed, high-performance analytics service for near-real-time analysis of large telemetry, log, event, and time-series datasets. Real-time analytics intermediate 5 commands Aliases: ADX, Kusto Quick peek Open full term page

Storage premium Azure Elastic SAN A cloud-native Azure storage area network service that provides scalable, cost-effective, high-performance block storage volumes for compute workloads. Block storage intermediate 5 commands Aliases: Elastic SAN Quick peek Open full term page

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 Quick peek Open full term page

Storage premium Azure NetApp Files Azure NetApp Files provides managed enterprise SMB and NFS volumes in Azure for performance-sensitive file workloads. Backup and recovery intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Azure SQL automatic tuning Azure SQL automatic tuning monitors query performance and can apply tuning actions such as plan correction and index recommendations. Azure SQL Database fundamentals 5 commands Aliases: Azure SQL automatic tuning, Azure SQL tuning recommendations, SQL automatic tuning, automatic tuning Quick peek Open full term page

Databases premium Azure SQL Business Critical tier Azure SQL Business Critical tier is a vCore service tier for OLTP workloads that need high transaction rates, low-latency I/O, and high resilience through isolated replicas. Azure SQL Database fundamentals 5 commands Aliases: Azure SQL Business Critical tier, Business Critical tier, BusinessCritical, Premium-like vCore tier, SQL Business Critical Quick peek Open full term page

Databases premium Azure SQL elastic pool Azure SQL elastic pool lets multiple Azure SQL databases on one logical server share a set of resources at a set price for variable usage patterns. Azure SQL Database fundamentals 5 commands Aliases: Azure SQL elastic pool, SQL elastic pool, eDTU pool, elastic pool, pooled databases Quick peek Open full term page

Containers premium Container Apps workload profile the Container Apps environment compute profile that controls resource size, scaling model, isolation, and billing behavior for deployed apps Azure Container Apps intermediate 5 commands Aliases: No aliases yet Quick peek Open full term page

Databases premium Cosmos DB account Design the account boundary for a global application before choosing databases, containers, regions, consistency, and backup mode.; Separate regulated, tenant-specific, or production workloads into dedicated Cosmos DB ac Database intermediate 5 commands Aliases: Cosmos DB account, cosmos db account Quick peek Open full term page

Databases premium Cosmos DB throughput Choose container-level throughput for a critical workload that must not be slowed by noisy neighboring containers.; Use autoscale for predictable daily traffic spikes where manual RU changes create operational risk. Azure Cosmos DB intermediate 5 commands Aliases: RU/s, Cosmos DB throughput Quick peek Open full term page

Analytics premium Data Factory pipeline A logical grouping of Data Factory activities that performs a coordinated data movement, transformation, or control-flow process. Data integration and orchestration Intermediate 5 commands Aliases: Data Factory pipeline, ADF pipeline, data factory pipeline Quick peek Open full term page

Storage premium General-purpose v2 storage account General-purpose v2 storage account is an Azure Storage account resource using the StorageV2 kind to host common storage services under one managed namespace. Teams use it to provide durable storage for applications while centralizing endpoints, redundancy, encryption, lifecycle management, networking, monitoring, and access control. In daily Azure work, it appears when engineers provision blob containers, file shares, queues, tables, static websites, backups, application artifacts, or Data Lake Gen2-enabled storage in a landing zone. It is not a specific blob container, an unlimited performance guarantee, an identity provider, or a safe design unless access, networking, and data protection are configured. Storage accounts beginner 5 commands Aliases: Azure general-purpose v2 storage account, GPv2 storage account, StorageV2 storage account Quick peek Open full term page

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 Quick peek Open full term page

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 Quick peek Open full term page

AI and Machine Learning premium Index alias Index alias is the Azure concept that controls how applications keep a stable search name while teams rebuild or swap the underlying index. Teams see it when working with azure ai search aliases, target index mappings. It is not a custom domain, a DNS record, a replica, or a second copy of index data; that distinction matters because bad assumptions create queries hitting stale indexes, broken cutovers. 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: search index alias, Azure AI Search alias, alias for search index, blue green search alias Quick peek Open full term page

AI and Machine Learning premium Index projection Index projection is the Azure concept that controls how enriched or chunked source content becomes searchable documents in a RAG-oriented Azure AI Search index. Teams see it when working with azure ai search skillsets, index projections. It is not a database projection, a search alias, a scoring profile, or a simple field mapping alone; that distinction matters because bad assumptions create missing chunks, duplicated parent metadata. 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 Advanced 5 commands Aliases: search index projection, Azure AI Search index projection, skillset projection, projection selector Quick peek Open full term page

AI and Machine Learning premium Index size Index size is the Azure concept that controls capacity planning, cost control, and performance expectations for indexes stored in an Azure AI Search service. Teams see it when working with azure ai search index statistics, portal index list. It is not database file size, blob capacity, a partition count, or the number of documents alone; that distinction matters because bad assumptions create partition exhaustion, slower queries. 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: search index size, index storage size, vector index size, search storage usage Quick peek Open full term page

Management and Governance premium Indexed mode Indexed mode is the Azure concept that controls which Azure resources are considered during evaluation of a policy definition. Teams see it when working with azure policy definitions, policy mode field. It is not the all mode, an indexed search field, a database index, or an Azure AI Search index; that distinction matters because bad assumptions create resources not evaluated, false compliance confidence. 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 Policy Intermediate 5 commands Aliases: Azure Policy indexed mode, policy definition indexed mode, indexed policy mode, mode indexed Quick peek Open full term page

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 Quick peek Open full term page

AI and Machine Learning premium Indexer schedule Indexer schedule is the Azure concept that controls how often Azure AI Search refreshes indexed content from a supported data source. Teams see it when working with azure ai search indexer definitions, schedule interval. It is not a Data Factory trigger, an Event Grid subscription, a cron job, or a manual indexer run; that distinction matters because bad assumptions create stale search results, overlapping refresh work. 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 schedule, search indexer recurrence, indexing schedule, scheduled indexer run Quick peek Open full term page

Databases premium Indexing policy Indexing policy is the Azure concept that controls how Cosmos DB maintains indexes for items and how efficiently NoSQL queries consume request units. Teams see it when working with cosmos db containers, indexingpolicy json. It is not an Azure AI Search index, a SQL index, a partition key, or a backup policy; that distinction matters because bad assumptions create high RU charges, slow queries. 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 Cosmos DB Intermediate 5 commands Aliases: Cosmos DB indexing policy, NoSQL indexing policy, included paths, excluded paths Quick peek Open full term page

AI and Machine Learning premium Inference endpoint Inference endpoint is the Azure concept that controls how applications invoke deployed machine learning models securely, reliably, and measurably in Azure. Teams see it when working with azure machine learning online endpoints, batch endpoints. It is not a model artifact, a training job, an Azure OpenAI deployment, or an application API gateway by itself; that distinction matters because bad assumptions create failed predictions, public exposure. 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 Machine Learning Intermediate 5 commands Aliases: ML inference endpoint, online endpoint, managed online endpoint, batch endpoint, scoring endpoint Quick peek Open full term page

DevOps premium Infrastructure deployment script Infrastructure deployment script controls how deployment teams run imperative setup, validation, or bridge logic inside an otherwise declarative Azure infrastructure deployment. Teams see it in bicep files, arm templates. It is not a local shell script, a DevOps pipeline task, a custom script extension, or normal template declarative resource creation; confusing them can create hung deployments, leaked script output. 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. Infrastructure as Code Intermediate 5 commands Aliases: deployment script, ARM deployment script, Bicep deployment script, deploymentScripts resource, scripted IaC step Quick peek Open full term page

Storage premium Infrastructure encryption for storage Infrastructure encryption for storage controls how Azure Storage applies optional double encryption to blobs, files, queues, or tables depending on account and scope configuration. Teams see it in storage account creation, encryption blade. It is not blob immutability, soft delete, encryption in transit, customer-managed key rotation, or disabling shared key authorization; confusing them can create storage accounts that cannot meet compliance, rebuild-only remediation. 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 Storage Security Intermediate 5 commands Aliases: storage infrastructure encryption, storage account double encryption, require infrastructure encryption, double encryption for Azure Storage Quick peek Open full term page

Analytics premium Ingestion mapping Ingestion mapping controls how streaming or batch data lands in the correct Kusto columns without corrupting schema, losing values, or forcing manual parsing later. Teams see it in azure data explorer tables, kusto databases. It is not a query projection, update policy, table schema alone, Data Factory mapping data flow, or index projection; confusing them can create null columns, failed ingestion. 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 Data Explorer Intermediate 5 commands Aliases: Kusto ingestion mapping, ADX ingestion mapping, table ingestion mapping, JSON ingestion mapping, CSV ingestion mapping Quick peek Open full term page

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 Quick peek Open full term page

Compute premium Input binding Input binding controls how serverless code receives external data without hand-writing every service connection, query, or blob read inside the function body. Teams see it in function.json files, code attributes. It is not a trigger, output binding, SDK call, API route, or dependency injected service; confusing them can create missing input data, secret exposure in settings. 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 Functions Fundamentals 5 commands Aliases: Azure Functions input binding, function input binding, binding input, declarative input binding Quick peek Open full term page