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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 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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AI and Machine Learning
learning-path-anchor
Text to speech
Text to speech in Azure AI Speech converts written text or SSML into synthesized audio using neural voices, custom voice options, language support, and APIs. Teams use it to add spoken responses to apps, contact centers, accessibility tools, devices, and media workflows while governing region, keys, networking, and quota.
Azure AI services
fundamentals
4 commands
Aliases: Text to speech, text to speech, Azure Text to speech, Microsoft Learn Text to speech, TTS, speech synthesis, Azure AI Speech synthesis, neural voices, SSML speech
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AI and Machine Learning
premium
Computer Vision
the Azure AI capability that helps applications understand images, read text, detect visual features, and return structured insights from pictures or screenshots
Azure AI services
fundamentals
12 commands
Aliases: No aliases yet
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AI and Machine Learning
premium
Azure OpenAI Service
Azure OpenAI Service provides managed access to OpenAI model capabilities through Azure endpoints and enterprise controls.
Generative AI
fundamentals
11 commands
Aliases: Azure OpenAI
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AI and Machine Learning
premium
Azure OpenAI
Azure OpenAI provides OpenAI model capabilities through Azure resources, deployments, identity, networking, quota, and monitoring controls.
Azure OpenAI
intermediate
8 commands
Aliases: Azure OpenAI Service
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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
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
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Databases
premium
Eventual consistency
Eventual consistency is the weakest Azure Cosmos DB consistency level, where reads can return a subset of writes and all writes become available eventually. Teams use it to favor low-latency, high-availability reads for workloads that can tolerate temporarily stale or out-of-order data. It is not strong consistency, session consistency, a conflict-resolution strategy, a cache setting, or permission to ignore user-facing correctness requirements. In production, confirm account consistency setting, client overrides, read region, write region, session tokens, replication latency, stale-read tolerance, conflict policy, and application workflows that read after writes before treating the design as healthy or ready for release.
Azure Cosmos DB
intermediate
6 commands
Aliases: eventual consistency level, Cosmos DB eventual consistency, eventually consistent reads
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AI and Machine Learning
premium
Face API
The Face API is an Azure AI service API that provides face detection, recognition, verification, identification, grouping, and related face analysis capabilities. Teams use it to build applications that detect faces in images, compare faces, verify identity scenarios, support liveness workflows, or organize face-related image data under approved responsible AI controls. It is not a general computer vision labeler, proof of identity by itself, a surveillance policy, or permission to use biometric capabilities without legal, privacy, and access review.
Azure AI services
intermediate
6 commands
Aliases: Azure AI Face, Azure Face API, Face service
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AI and Machine Learning
premium
Face service
Face service is an Azure AI service that provides APIs for face detection, face analysis, verification, identification, grouping, and liveness-related workflows under approved access controls. Teams use it to build applications that detect faces in images, compare face evidence, verify approved identity scenarios, support liveness checks, or manage face lists within privacy and responsible AI controls. It is not a general image classification service, legal approval to process biometric data, a replacement for human identity review, or a guarantee that every face decision is correct.
Azure AI services
intermediate
6 commands
Aliases: Azure AI Face, Azure AI Face service, Azure Face service, Face API, Azure AI services Face
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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
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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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DevOps
premium
Service connection
Service connection is an Azure DevOps project resource that stores how a pipeline authenticates to Azure or another external service. In Azure Resource Manager connections, it can use workload identity federation, a managed identity, or a service principal so pipeline tasks can deploy safely.
CI/CD
fundamentals
6 commands
Aliases: Azure DevOps service connection, service endpoint, Azure Pipelines service connection, Azure RM service connection
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Identity
premium
Access package
An access package bundles resources someone may need for a job or project. Instead of asking separately for groups, apps, or sites, a user requests the package, and Entra applies approval, duration, review, and removal rules.
Identity operations
fundamentals
5 commands
Aliases: No aliases yet
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Storage
premium
Account SAS
An account SAS is a powerful storage access token signed with the account key. It can grant limited access across multiple storage services, but because it is key-based and hard to audit, keep permissions narrow and expiry short.
Blob Storage
fundamentals
5 commands
Aliases: No aliases yet
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Containers
premium
ACR import
ACR import is a server-side image copy. Instead of pulling an image to your machine and pushing it back, Azure copies it into your registry directly. It is useful for migration, mirroring, controlled base images, and pipeline cleanup.
Azure Container Registry
intermediate
5 commands
Aliases: ACR
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Containers
premium
ACR manifest
An ACR manifest is the record behind an image tag. It describes the image layers and configuration, and its digest is the exact content identity. Tags can move, but a manifest digest is what proves the precise image version.
Azure Container Registry
intermediate
5 commands
Aliases: ACR
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Containers
premium
ACR Task
An ACR Task is automation inside Azure Container Registry for building, testing, patching, or maintaining container images. Instead of relying only on a developer laptop or separate build server, the registry can run a build from source, a.
Azure Container Registry
intermediate
5 commands
Aliases: Azure Container Registry Task, ACR Tasks, registry task
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Containers
premium
Azure Container Registry
A managed private registry service for building, storing, and managing container images and OCI artifacts for container deployments.
Container images
fundamentals
5 commands
Aliases: ACR
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AI and Machine Learning
premium
Azure Machine Learning
Azure Machine Learning is a cloud service for managing the machine learning lifecycle, including workspaces, data, training jobs, model deployment, monitoring, and MLOps.
Machine learning operations
advanced
5 commands
Aliases: Azure ML, AML, Machine Learning workspace
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DevOps
premium
Canary deployment
Canary deployment is a release approach that sends a small portion of real traffic to a new version before rolling it out broadly.
Deployment workflows
intermediate
5 commands
Aliases: No aliases yet
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DevOps
premium
Container image build
the build step that turns source, Dockerfile instructions, dependencies, and metadata into a container image stored in a registry
Deployment workflows
intermediate
5 commands
Aliases: No aliases yet
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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
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AI and Machine Learning
premium
Document field
A document field is a structured value extracted by Document Intelligence, usually with field type, content, confidence, and location metadata in the analyze result.
Document Intelligence
fundamentals
5 commands
Aliases: extracted field, field value, query field, document result field
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AI and Machine Learning
premium
Document Intelligence
Azure AI Document Intelligence is a cloud service that uses OCR and machine learning to extract text, layout, tables, key-value pairs, and fields from documents.
Document Intelligence
fundamentals
5 commands
Aliases: Azure AI Document Intelligence, Azure Document Intelligence, Form Recognizer, intelligent document processing
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Compute
premium
Durable Functions
Microsoft Learn describes Durable Functions as an Azure Functions extension for building stateful workflows in a serverless environment. Developers write orchestrator, activity, and entity functions while the runtime manages checkpoints, state, retries, timers, recovery, and long-running operations across restarts and long delays.
Serverless workflows
intermediate
5 commands
Aliases: Azure Durable Functions, Durable orchestration, Durable workflow
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Integration
premium
Event handler
An event handler is the destination that receives Event Grid events and takes action, such as Azure Functions, Logic Apps, Event Hubs, Service Bus, Storage Queue, or a webhook. Teams use it to process Event Grid events by running code, starting workflows, buffering messages, streaming telemetry, or invoking a custom endpoint. It is not the event source, topic, filter, or schema that only decides what gets sent. In production, confirm the source, subscription, destination, filters, schema, identity, retry behavior, failure handling, monitoring, and owner before treating the route as safe.
Event Grid
intermediate
5 commands
Aliases: Azure Event Grid handler, event destination
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DevOps
premium
Image promotion
Image promotion is the controlled process of moving an approved VM or container image version from build or test use into wider production use.
Deployment workflows
intermediate
5 commands
Aliases: Image promotion, image promotion, image-promotion
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Integration
premium
Integration account
Integration account controls where Logic Apps stores reusable B2B artifacts that workflows use to translate, validate, sign, decode, encode, or route enterprise messages. Teams see it in logic apps workflows, integration account artifacts. It is not a Logic App workflow, an Azure Storage account, an API connection, an Integration Service Environment, or a general-purpose document repository; confusing them can create failed EDI exchanges, expired certificates. 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.
Enterprise integration
Intermediate
5 commands
Aliases: Logic Apps integration account, enterprise integration account, B2B artifact account, EDI artifact store
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AI and Machine Learning
premium
Invoice model
Invoice model controls how teams automate invoice data extraction before routing results into approvals, ERP systems, payment workflows, audits, or exception handling queues. Teams see it in document intelligence studio, prebuilt invoice api calls. It is not a custom document model, a receipt model, an invoice section in billing, an accounting system, or a generative model that summarizes documents; confusing them can create incorrect payment amounts, missed line items. 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.
Document Intelligence
Intermediate
5 commands
Aliases: prebuilt invoice model, Document Intelligence invoice model, invoice extraction model, invoice processing model
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Management and Governance
premium
Policy event
A policy event is a record or notification that something changed in Azure Policy evaluation. It can tell you that a resource became compliant, became non-compliant, or had a policy state created or removed. Instead of waiting for someone to refresh a portal report, teams can query policy events or route state-change events through Event Grid. For operators, this makes policy activity visible close to the time it happens, so compliance changes can trigger alerts, tickets, evidence capture, or remediation workflows.
Azure Policy
intermediate
5 commands
Aliases: Policy event, policy-event
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AI and Machine Learning
premium
Search index
A search index is the searchable data structure in Azure AI Search. It defines fields, attributes, analyzers, vector settings, scoring options, and stored documents so applications can run queries, filters, facets, and retrieval workflows. It is the contract that applications query at runtime.
Search
fundamentals
5 commands
Aliases: Azure AI Search index, Azure Search index, search schema, index schema, searchable index, retrieval index
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Integration
premium
Service Bus transaction
Service Bus transaction is a broker-supported execution scope that commits or rolls back multiple messaging operations as one unit. Standard and Premium support transactions for sends, receives, completions, deferrals, dead-lettering, and related transfers, while management operations and Basic tier are outside that model.
Messaging
intermediate
5 commands
Aliases: Azure Service Bus transaction, Service Bus transactional processing, broker transaction, atomic messaging operation
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Storage
premium
SFTP for Azure Blob Storage
SFTP for Azure Blob Storage lets clients connect to a storage account through SSH File Transfer Protocol for file access, transfer, and management. It requires a supported storage account with hierarchical namespace enabled, then local users and scoped permissions control access to containers and paths.
Storage platform
intermediate
5 commands
Aliases: Azure Blob Storage SFTP, SFTP support for Azure Blob Storage, storage account SFTP, Blob SFTP endpoint, SFTP for Azure Blob Storage
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AI and Machine Learning
premium
AI connection
AI connection is a Microsoft Foundry project connection that links the project to an external or Azure resource such as models, storage, search, or services. In everyday Azure work, teams use it to let AI applications and agents use approved resources without every prototype hardcoding endpoints and credentials. The useful evidence is connection name, target
AI platform
intermediate
4 commands
Aliases: Foundry connection, AI project connection, connected resource, AI service connection
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Monitoring
premium
Application Insights
Application Insights is the application performance monitoring capability in Azure Monitor. It collects OpenTelemetry or SDK telemetry such as requests, dependencies, exceptions, traces, metrics, and availability results so teams can continuously understand live application health, performance, failures, and user-impacting behavior.
Application observability
fundamentals
4 commands
Aliases: Azure Application Insights, App Insights, Azure Monitor Application Insights, application performance monitoring, APM
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AI and Machine Learning
premium
Azure AI Content Safety
Azure AI Content Safety is the Azure AI service used to detect harmful text and image content before it reaches users, moderators, or automated workflows. In Azure, teams encounter it when applications accept user posts, comments, uploads, prompts, or model outputs that need moderation and policy review. The useful question is what behavior it proves,
Responsible AI
advanced
4 commands
Aliases: Content Safety, Azure Content Safety, harm detection, content moderation API
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AI and Machine Learning
premium
Azure AI Translator
A cloud-based machine translation service for translating text and documents across supported languages through REST APIs and client libraries.
AI services
intermediate
4 commands
Aliases: Azure Translator, Document Translation, Text Translation, Translator
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AI and Machine Learning
premium
Batch inference
Batch inference is the process of generating predictions over larger sets of input data asynchronously, often using Azure Machine Learning batch endpoints and deployments.
Azure OpenAI
fundamentals
4 commands
Aliases: No aliases yet
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Integration
premium
Built-in connector
A built-in connector is an Azure Logic Apps connector that runs natively with the Logic Apps runtime instead of through a separately hosted managed connector service.
Logic Apps
intermediate
4 commands
Aliases: No aliases yet
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Databases
premium
Cosmos DB change feed
Cosmos DB change feed is a built-in way to read changes that happen in a container. Instead of constantly scanning for new or updated items, an application can process the feed and react when writes occur. Teams use it to update search indexes, build materialized views, move data, trigger workflows, or keep another store in sync. It is not the same as a general queue; it is tied to container writes, partitioning, leases, continuation state, and the mode used to read changes.
Azure Cosmos DB
intermediate
4 commands
Aliases: Azure Cosmos DB change feed, change feed processor, Cosmos DB feed
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Databases
premium
Cosmos DB consistency level
A Cosmos DB consistency level defines the read guarantee between replicated writes and later reads. Microsoft Learn describes five levels—strong, bounded staleness, session, consistent prefix, and eventual—so teams can choose the right trade-off among latency, availability, throughput, and application correctness.
Azure Cosmos DB
intermediate
4 commands
Aliases: Azure Cosmos DB consistency level, consistency model, session consistency
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Containers
premium
Dapr
Dapr is a distributed application runtime that gives microservices common building-block APIs for service invocation, pub/sub, bindings, state, workflows, and observability.
Distributed applications
intermediate
4 commands
Aliases: Dapr, DAPR
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Analytics
premium
Data Factory connector
A built-in or configured integration capability that lets Data Factory read from or write to a supported data store, SaaS application, or service endpoint.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory connector, ADF connector, data factory connector
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Analytics
premium
Data Factory debug run
An interactive test execution used while authoring a Data Factory pipeline or data flow before publishing or triggering it in production.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory debug run, ADF debug run, data factory debug run
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Analytics
premium
Data Factory expression language
The syntax and function set used in Data Factory to build dynamic values, reference parameters, inspect activity output, and control pipeline behavior.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory expression language, ADF expression language, data factory expression language
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Analytics
premium
Data Factory Git integration
The source-control connection that lets Data Factory authoring use Azure Repos or GitHub branches instead of editing only the live factory mode.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory Git integration, ADF Git integration, data factory git integration
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Analytics
premium
Data Factory global parameter
A factory-level constant that pipelines can reference in expressions and that CI/CD can override per environment.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory global parameter, ADF global parameter, data factory global parameter
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Analytics
premium
Data Factory managed identity
The Microsoft Entra identity assigned to a Data Factory so pipelines and linked services can access Azure resources without embedded passwords.
Data integration and orchestration
Intermediate
4 commands
Aliases: Data Factory managed identity, ADF managed identity, data factory managed identity
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