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AI and Machine Learning
premium
Search semantic configuration
A search semantic configuration is an Azure AI Search index setting that names the fields used by semantic ranker. It prioritizes title, content, and keyword fields so semantic ranking, captions, and answers can evaluate the most meaningful document text during semantic queries.
Search
advanced
5 commands
Aliases: Azure AI Search semantic configuration, semantic search configuration, semantic ranker configuration, prioritized fields, semantic config
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Developer Tools
premium
App Configuration
Azure App Configuration is a managed place to store application settings and feature flags outside your application code. Instead of spreading configuration across appsettings files, environment variables, deployment scripts, and team notes, applications read centrally managed key-values. Labels.
Configuration
fundamentals
3 commands
Aliases: Azure App Configuration, App Configuration store
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Databases
complete
SQL MI maintenance configuration
Microsoft Learn describes SQL Managed Instance maintenance configuration as the setting that assigns a maintenance window to Azure SQL resources. It lets teams choose when impactful planned maintenance should occur, making platform updates more predictable and less disruptive for workloads with sensitive business hours.
Azure SQL Managed Instance
intermediate
5 commands
Aliases: SQL Managed Instance maintenance configuration, SQL MI maintenance window, maintenanceConfigurationId
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App platform
complete
Static Web Apps configuration
Microsoft Learn describes Static Web Apps configuration as the staticwebapp.config.json file used to control routing and application behavior. It defines route rules, authorization requirements, response overrides, custom headers, navigation fallback, networking settings, and other global behavior for an Azure Static Web Apps site.
Static Web Apps
advanced
5 commands
Aliases: static-web-apps-configuration, Static Web Apps configuration, staticwebapp.config.json, Static Web Apps config file, SWA configuration, routes configuration
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AI and Machine Learning
expanded
Semantic configuration
A semantic configuration is part of an Azure AI Search index that identifies title, content, and keyword fields for semantic ranking. It guides reranking, captions, and answers, can be added to existing indexes, and lets applications reference a named relevance setup in query requests.
Azure AI Search
advanced
4 commands
Aliases: semantic config, semantic ranking configuration, Azure AI Search semantic configuration, semantic field configuration
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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
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Storage
learning-path-anchor
Table service endpoint
A Table service endpoint is the address your application uses when it talks to Azure Table Storage. For a normal Azure Storage account, it looks like an account-specific table URL. That address is not just a string in a connection setting; it determines DNS resolution, firewall evaluation, private endpoint routing, TLS, SDK configuration, and what operators test during an outage. If the endpoint is wrong, the table might exist and credentials might be valid, but clients still fail to connect.
Table Storage
intermediate
5 commands
Aliases: Azure Table endpoint, Table Storage endpoint, storage table endpoint, Table data-plane endpoint
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Management and Governance
learning-path-anchor
Tags
Tags are labels you attach to Azure things so people and tools can understand what they are for. A tag has a name and a value, such as Owner=DataPlatform or Environment=Prod. Tags do not make a virtual machine faster, secure a database, or change a web app setting. They make the estate easier to organize, report on, govern, and automate. Useful tags answer questions the business actually asks: who owns this, what does it support, what environment is it, and who pays for it?
Tags and naming
advanced
5 commands
Aliases: Azure tags, resource tags, name-value tags, Azure metadata tags
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Containers
learning-path-anchor
Target port
A target port tells Azure Container Apps where to deliver traffic inside your container. Public or internal ingress may expose an endpoint, but the app still has to listen on a specific port. If the container listens on 8080 and ingress targets 80, users may see timeouts, failed probes, or gateway errors. The setting is small, but it is often the difference between the app being deployed and the app being reachable. It should match the application startup command, Dockerfile, framework port, and health probes.
Azure Container Apps
intermediate
5 commands
Aliases: container target port, Container Apps target port, ingress targetPort, container ingress port
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Analytics
learning-path-anchor
Databricks metastore
The top-level Unity Catalog container for catalogs, schemas, tables, volumes, models, functions, and governance permissions.
Databricks
intermediate
4 commands
Aliases: Unity Catalog metastore, Databricks Unity Catalog metastore, metastore
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Analytics
learning-path-anchor
Databricks MLflow
The managed MLflow experience in Azure Databricks for experiments, runs, metrics, artifacts, model lineage, and MLOps evidence.
Databricks
fundamentals
4 commands
Aliases: MLflow on Databricks, Databricks experiment tracking, MLflow tracking
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Analytics
learning-path-anchor
Databricks model serving
A managed serving endpoint pattern for exposing Databricks models or AI workloads for online inference with operational controls.
Databricks
intermediate
4 commands
Aliases: Databricks Model Serving, serving endpoint, model serving endpoint
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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
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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
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Analytics
learning-path-anchor
Databricks repo
A workspace Git integration, now called Git folders, for versioning notebooks and files used in Databricks development and CI/CD.
Databricks
fundamentals
4 commands
Aliases: Databricks Repos, Databricks Git folder, Azure Databricks Git folders, workspace Git folder
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Analytics
learning-path-anchor
Databricks schema
A Unity Catalog namespace under a catalog that groups tables, views, volumes, models, functions, and permissions.
Databricks
fundamentals
4 commands
Aliases: Unity Catalog schema, Databricks database schema, schema in Unity Catalog
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Analytics
learning-path-anchor
Databricks secret scope
A named Databricks collection of secrets used to store credentials and grant controlled read or manage access to workloads.
Databricks
fundamentals
4 commands
Aliases: Databricks secrets scope, secret scope, Azure Databricks secrets
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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
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Analytics
learning-path-anchor
Databricks table
A governed Databricks data object, commonly managed, external, or foreign, queried through Unity Catalog and optimized for analytics.
Databricks
fundamentals
4 commands
Aliases: Unity Catalog table, Delta table in Databricks, Databricks managed table
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Identity
learning-path-anchor
Tenant ID
A tenant ID is the globally unique identifier for a Microsoft Entra tenant.
Microsoft Entra
fundamentals
4 commands
Aliases: Tenant ID, tenant id, Azure Tenant ID, Microsoft Entra tenant ID, directory ID, tenantId
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Databases
premium
Change feed processor
A database capability or setting in Azure Cosmos DB that helps teams store, query, scale, secure, and recover application data with clearer ownership, safety, and operational context.
Azure Cosmos DB
fundamentals
15 commands
Aliases: No aliases yet
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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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Databases
command-rich
Cosmos DB for Apache Cassandra
Azure Cosmos DB for Apache Cassandra is a managed NoSQL database service that supports Cassandra workloads using CQL, drivers, and compatible tooling.
Data platform
intermediate
4 commands
Aliases: No aliases yet
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Databases
command-rich
Cosmos DB for PostgreSQL
Azure Cosmos DB for PostgreSQL is a managed PostgreSQL service with Citus distributed tables, currently on a retirement path and not recommended for new projects.
Data platform
intermediate
4 commands
Aliases: No aliases yet
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Storage
command-rich
Primary storage region
The primary storage region is the home region for an Azure Storage account. When an application writes blobs, files, queues, or tables under normal conditions, it writes to the primary region. Microsoft Learn anchors this term in Data redundancy - Azure Storage, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the decision, and which evidence proves the Azure environment is behaving as intended. In field use, start with the technical boundary: Technically.
Storage platform
intermediate
4 commands
Aliases: No aliases yet
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Storage
command-rich
Secondary storage region
The secondary storage region is the other region involved when an Azure Storage account uses geo-redundant options such as GRS or GZRS. Under normal conditions, applications write to the primary region, and Azure asynchronously copies data to the secondary region. Microsoft Learn anchors this term in Data redundancy - Azure Storage, but this field-manual definition is intentionally wider than an older short glossary entry because the page must teach what to inspect, what can break, who owns the decision, and which evidence proves the Azure environment is behaving as intended..
Storage platform
intermediate
4 commands
Aliases: No aliases yet
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Storage
premium
Append Block
the Blob Storage operation that commits a new block of data to the end of an existing append blob.
Blob Storage
intermediate
12 commands
Aliases: Append Block, append block
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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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Analytics
premium
Change data capture in Data Factory
A Data Factory capability for processing changed data from supported sources.
Data integration
intermediate
10 commands
Aliases: CDC
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Storage
premium
Locally redundant storage
Microsoft Learn describes locally redundant storage as Azure Storage redundancy that replicates data within the primary region in a local storage scale unit. LRS is the lowest-cost redundancy option and provides high durability, but it does not protect against regional disasters.
Azure Storage
intermediate
10 commands
Aliases: LRS
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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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Analytics
premium
CETAS
Create External Table As Select, a pattern for writing query results to external storage.
Analytics platform
intermediate
8 commands
Aliases: Create External Table As Select
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Databases
premium
Cosmos DB trigger
Cosmos DB trigger is a registered JavaScript pre-trigger or post-trigger for Cosmos DB for NoSQL operations inside a container. It runs server-side logic around an item operation when application code explicitly asks Cosmos DB to use it. You see it when teams maintain legacy NoSQL scripts, troubleshoot write behavior, or compare triggers with change feed and Azure Functions. The production check is whether the trigger is necessary, explicitly invoked, partition-scoped, tested, and safer than handling the logic in application code. Document the decision in code, templates, metrics, and runbooks.
Azure Cosmos DB
intermediate
8 commands
Aliases: No aliases yet
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Management and Governance
premium
Azure Policy
Azure Policy is a governance service for creating, assigning, and managing rules that evaluate Azure resources.
Azure Policy
fundamentals
7 commands
Aliases: Policy
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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
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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
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Databases
premium
Cosmos DB spatial index
Cosmos DB spatial index is an indexing-policy entry that helps Cosmos DB for NoSQL query valid GeoJSON points, lines, polygons, and multipolygons efficiently. It makes location-aware queries practical without scanning every item in a container. You see it when applications store coordinates, service areas, delivery zones, device positions, or map features in JSON items. The production check is whether GeoJSON shape, indexed path, query function, and partition strategy all line up. Document the decision in code, templates, metrics, and runbooks.
Azure Cosmos DB
intermediate
7 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB vector embedding policy
Cosmos DB vector embedding policy is the container policy that defines vector paths, dimensions, data type, and distance function for embeddings stored in Cosmos DB for NoSQL. It tells Cosmos DB which item properties contain embeddings and how those vectors should be interpreted. You see it when teams build semantic search, recommendation, image similarity, or retrieval-augmented generation features on Cosmos DB data. The production check is whether the vector path, dimensions, data type, and distance function are correct before production data lands. Document the decision in code, templates, metrics, and runbooks.
Azure Cosmos DB
intermediate
7 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB vector index
Cosmos DB vector index is an indexing-policy configuration that improves vector-search latency and RU efficiency for embeddings in Cosmos DB for NoSQL. It helps Cosmos DB find similar vectors without comparing every embedding in a container one by one. You see it when queries use VectorDistance, hybrid search combines text and vectors, or teams tune flat, quantized flat, and DiskANN-style index choices. The production check is whether the index type, vector path, dimensions, filters, and recall target fit the workload. Document the decision in code, templates, metrics, and runbooks.
Azure Cosmos DB
intermediate
7 commands
Aliases: No aliases yet
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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
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Web
premium
App Service private endpoint
An App Service private endpoint uses Azure Private Link to give an app a private IP address in a virtual network for inbound client access.
App Service Networking
intermediate
6 commands
Aliases: No aliases yet
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Developer Tools
premium
Azure Developer CLI
An open-source developer command-line tool that accelerates provisioning, deployment, pipeline setup, and monitoring for application resources on Azure.
Developer workflow
fundamentals
6 commands
Aliases: azd
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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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Hybrid and Multicloud
premium
Azure Local
Azure Local is Microsoft’s distributed infrastructure solution that extends Azure capabilities to customer-owned environments for local VMs, containers, and selected Azure services through Azure Arc.
Distributed infrastructure
advanced
6 commands
Aliases: Azure Stack HCI, Azure Local infrastructure, Arc-enabled local infrastructure
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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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Management and Governance
premium
Bicep private registry
A Bicep private registry is an Azure Container Registry used to publish and share organization-owned Bicep modules.
Bicep
fundamentals
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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Integration
premium
Capacity unit
A capacity measure used by Event Hubs Dedicated clusters.
Messaging and eventing
intermediate
6 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB logical partition
Cosmos DB logical partition means the group of items in a container that share the same partition key value. It is the practical label operators use when they decide how application data should be modeled, queried, protected, and monitored in Azure Cosmos DB. In plain English, it explains where developers, platform engineers, and support teams meet: the application wants fast data access, while the platform controls scale, cost, security, and recovery. A good glossary entry helps the team know which setting to inspect, which owner to involve, and which symptoms prove the design works.
Azure Cosmos DB
intermediate
6 commands
Aliases: Azure Cosmos DB logical partition, cosmos db logical partition
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