AZ Cloud Flashcards

71 Cloud Service listed. (146 cards)

1
Q

Azure Analysis Services
(Analytics, Big data processing)

A

is a fully managed platform-as-a-service (PaaS) offering from Microsoft that allows organizations to build enterprise-grade analytical models in the cloud. It is essentially the cloud version of SQL Server Analysis Services (SSAS), designed for OLAP (Online Analytical Processing) and data modeling.

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2
Q

Azure Data Lake Analytics
(Analytics, Big data processing)

A

is a cloud-based, on-demand analytics service from Microsoft designed to process and analyze massive amounts of data stored in Azure Data Lake Storage. It’s a serverless big data analytics platform, meaning you don’t have to manage infrastructure; you simply write queries, and the service scales resources automatically to run them.

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3
Q

Azure HDInsight clusters
(Analytics, Big data processing)

A

is a fully managed cloud service from Microsoft for big data analytics that allows you to run open-source frameworks like Hadoop, Spark, Hive, Kafka, and more. These frameworks are packaged into clusters, which are essentially groups of virtual machines configured to process and analyze large-scale data.

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4
Q

Apache Airflow™ on Astro - An Azure Native ISV Service
(Analytics, Big data processing)

A

is a managed data orchestration service that embeds Astronomer’s Astro platform into the Azure ecosystem, making it easier to deploy, manage, and scale Apache Airflow workflows within Azure. This service allows users to use the open-source Apache Airflow platform to orchestrate complex data pipelines and includes enterprise-grade features for reliability, scalability, and observability, all managed through a single bill and integrated into the Azure portal.

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5
Q

Azure Data Lake Analytics
(Analytics, Big data processing)

A

is a cloud-based analytics service from Microsoft that allows you to analyze large amounts of data easily and efficiently without managing servers or infrastructure.
*Big Data Transformation: Cleaning and transforming large datasets before storing or analyzing them.
*Data Exploration: Running queries over raw or semi-structured data to discover trends or insights.
*Machine Learning Preparation: Preparing training data for AI/ML models.
*ETL Pipelines: Extract, transform, and load large data volumes into other Azure services.

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6
Q

Azure Data Bricks
(Analytics, Big data processing)

A

is a cloud-based data analytics and machine learning platform that combines the power of Apache Spark with the flexibility and scalability of Microsoft Azure.
It’s designed to help data engineers, data scientists, and analysts work together to process, analyze, and visualize large amounts of data efficiently.

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7
Q

Azure Informatica Intelligent Data Management Cloud
(Analytics, Big data processing)

A

is a comprehensive, AI-powered cloud data management platform that helps organizations connect, integrate, manage, and govern all their data — across any system, cloud, or application.
It’s built by Informatica, a leading company in enterprise data integration and governance. Think of IDMC as a one-stop cloud platform for managing data across your entire environment — from on-premises databases to cloud apps like Azure, AWS, Salesforce, and Google Cloud.

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8
Q

Azure Data Factories
(Analytics, Big data processing)

A

is a cloud-based data integration and orchestration service from Microsoft Azure. It’s designed to help you move, transform, and manage data pipelines across different data stores—both on-premises and in the cloud. Think of it as the ETL (Extract, Transform, Load) engine of Azure’s data ecosystem — it connects various data sources, processes them, and delivers clean, ready-to-use data to destinations like Azure Synapse Analytics, Data Lake, or Power BI.

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9
Q

MS Graph Data Connect
(Analytics, Big data processing)

A

is a secure, scalable data integration service that allows organizations to extract Microsoft 365 data (like emails, calendar events, Teams messages, and user info) in bulk for advanced analytics, machine learning, and data warehousing — all while maintaining compliance and security. It’s built on top of Microsoft Graph (the unified API for Microsoft 365 data) but is designed for large-scale, governed data movement rather than individual API calls.

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10
Q

Azure Data Explorer Clusters
(Analytics, Data Exploration)

A

is a fast, fully managed data analytics platform designed for real-time analysis of large volumes of data, especially log, telemetry, and time-series data. An Azure Data Explorer Cluster is the core compute and storage unit of this service — it’s where your data is ingested, stored, and queried.
*Application monitoring & diagnostics
(e.g., Azure Monitor and Log Analytics are powered by ADX)
*IoT telemetry analytics
*Security log analysis (e.g., Azure Sentinel / Microsoft Defender for Cloud)
*Time-series analysis for sensors or metrics

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11
Q

Azure Power BI Embedded
(Analytics, Data Exploration)

A

is a Platform-as-a-Service (PaaS) offering from Microsoft that allows developers and organizations to embed interactive Power BI reports, dashboards, and visuals directly into their own applications or websites — without users needing a separate Power BI license or account. It’s part of the Azure Power BI service family, but it’s designed specifically for developers (ISVs) and enterprises who want to provide analytics within their apps seamlessly.

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12
Q

Azure Data Share Innovations
(Analytics, Data Exploration)

A

is a Microsoft Azure service that enables organizations to share data securely, at scale, and under governance, both within and across Azure subscriptions and tenants.

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13
Q

Azure Data Share
(Analytics, Data Exploration)

A

is a fully managed data-sharing service from Microsoft Azure that enables organizations to securely share data — both within their organization and externally — across Azure tenants, subscriptions, and regions, without needing to move or duplicate it manually.
It provides a simple, governed, and scalable way to exchange large datasets between teams, partners, and customers — ideal for collaboration, analytics, and data monetization.

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14
Q

Azure Apache Kafka® & Apache Flink® on Confluent Cloud
(Analytics, Real-time Analytics)

A

offers a fully-managed, production-ready streaming platform in Azure, combining Kafka’s event streaming with Flink’s real-time processing — with unified provisioning, billing, identity and Azure integration, so you can focus more on building streaming applications rather than managing infrastructure.

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15
Q

Azure Managed Prometheus
(Analytics, Real-time Analytics)

A

is a fully managed, cloud-native monitoring service built on the open-source Prometheus project — designed to collect, store, and query metrics from your applications and infrastructure running in Azure (and beyond). It provides the power of Prometheus, but without the complexity of running and maintaining Prometheus servers, storage, or scaling infrastructure yourself.

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16
Q

Azure Synapse Analytics
(Analytics, Real-time Analytics)

A

(formerly Azure SQL Data Warehouse) is Microsoft Azure’s unified data analytics platform that brings together big data and data warehousing into a single, powerful, and scalable cloud service.
It allows you to ingest, prepare, manage, and analyze data from multiple sources — all in one place — using both serverless and dedicated compute options.

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17
Q

Azure Event Hubs
(Analytics, Real-time Analytics)

A

is a fully managed, real-time data ingestion and streaming platform from Microsoft Azure. It’s designed to capture, store, and process millions of events per second from various sources — such as applications, IoT devices, sensors, and logs — in real time.
It acts as the front door for event streaming in Azure — collecting massive amounts of data that can later be processed, analyzed, or visualized using other Azure services.

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18
Q

Azure Stream Analytics clusters
(Analytics, Real-time Analytics)

A

are scalable, managed processing environments for running real-time analytics on streaming data in Azure. They allow you to ingest, process, and analyze high-volume data streams from multiple sources—like IoT devices, applications, or Event Hubs—continuously and in real time. Think of a Stream Analytics cluster as the “engine” that executes your streaming queries reliably at scale.

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19
Q

Azure Synapse Analytics (Private link hubs)
(Analytics, Real-time Analytics)

A

refers to the integration of Azure Private Link with Synapse Analytics, enabling secure, private connectivity to Synapse workspaces over the Microsoft backbone network instead of the public internet.
This is crucial for enterprises that require high security, compliance, and network isolation for their analytics workloads.

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20
Q

Azure Log Analytics workspaces
(Analytics, Real-time Analytics)

A

are the centralized repositories in Azure Monitor where log data from your Azure resources, on-premises servers, and other sources is collected, stored, and analyzed. They are part of Azure Monitor and are used to gain insights into the performance, availability, and health of your infrastructure and applications.

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21
Q

Azure Stream Analytics jobs
(Analytics, Real-time Analytics)

A

is like a SQL query that runs continuously on live data streams, transforming, aggregating, or analyzing events in real time and sending the results to a destination (like a database, dashboard, or storage).

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22
Q

Azure Availability Set
(Compute I.S.)

A

Is a logical grouping feature in Microsoft Azure that helps ensure your virtual machines (VMs) remain available and resilient during planned or unplanned maintenance events.

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23
Q

Azure compute galleries
(Compute I.S.)

A

Is an Azure service that helps you create, manage, and distribute custom virtual machine (VM) images across your organization and regions — efficiently and at scale. Purpose, when you need to deploy many VMs that use the same base image (like a preconfigured Windows or Linux setup), an Azure Compute Gallery lets you:
*Store that image centrally.
*Version it.
*Replicate it to multiple regions.
*Share it securely with other subscriptions, tenants, or users.

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24
Q

Azure Image Template
(Compute I.S.)

A

Is a service that helps you automate the creation, customization, and management of virtual machine (VM) images in Azure — using infrastructure-as-code.
It’s part of the Azure Image Builder service, which is based on HashiCorp Packer, and lets you define image creation steps in a declarative JSON template.
Purpose, the goal of Azure Image Templates is to:
*Standardize how custom images are built.
*Automate OS configuration, patching, and software installation.
*Integrate image creation into CI/CD pipelines (e.g., with Azure DevOps or GitHub Actions).

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25
Azure Proximity placement groups (Compute I.S.)
Is a logical grouping feature in Azure that helps you minimize network latency between related compute resources — such as Virtual Machines (VMs), Virtual Machine Scale Sets (VMSS), or Availability Sets — by placing them physically close together within the same Azure datacenter. Avoid cross-zone or cross-rack network delays.
26
Azure Virtual Desktop (Compute I.S.)
Formerly called Windows Virtual Desktop (WVD) — is a cloud-based desktop and app virtualization service in Microsoft Azure. It allows organizations to deliver secure, remote, full Windows desktops and applications to users from anywhere, on any device, without needing on-premises servers or complex infrastructure.
27
Azure VM App definitions (Compute I.S.)
Are a feature of Azure Compute Gallery that let you package, version, and manage applications for Azure Virtual Machines (VMs) and VM Scale Sets — separately from the base OS image. They’re designed to make application deployment and lifecycle management on VMs more modular, automated, and scalable.
28
Azure VM Image Versions (Compute I.S.)
Is a specific, versioned instance of a virtual machine image stored in an Azure Compute Gallery. It represents a snapshot of a particular OS and configuration at a specific point in time — used to create new Azure Virtual Machines (VMs) or VM Scale Sets consistently and repeatedly.
29
Azure community images (Compute I.S.)
Are shared virtual machine (VM) images that are published by individuals, organizations, or vendors within the Azure Compute Gallery and made publicly available for others to use in Azure. They allow the Azure community to share, discover, and deploy prebuilt custom images — similar to how container images are shared on Docker Hub, but for Azure VMs.
30
Azure compute infrastructure (Compute I.S.)
refers to the underlying hardware, software, networking, and services that Microsoft Azure provides to run your compute workloads in the cloud. It's the foundation that enables you to create and manage resources like Virtual Machines (VMs), containers, serverless functions, and more.
31
Azure images (Compute I.S.)
are pre-configured virtual machine (VM) templates that include an operating system and optionally installed software and configurations. These images are used to quickly create new Azure VMs with a consistent setup.
32
Azure Restore Point collections(Preview) (Compute I.S.)
are a feature in Azure Backup that allows you to group and manage restore points for your Azure Virtual Machines (VMs). They help you create consistent snapshots of one or more VMs at a specific point in time, which can then be used to restore those VMs if needed.
33
Azure VM scale sets (Compute I.S.)
are an Azure compute service that lets you create and manage a group of identical, load-balanced virtual machines (VMs). They help you build scalable, highly available applications by automatically scaling the number of VM instances based on demand or a schedule.
34
Azure VM app versions (Compute I.S.)
are specific, versioned configurations of applications published and managed within an Azure Compute Gallery as part of VM Applications.
35
Azure Compute Fleet (Compute I.S.)
refers to the large-scale, global collection of compute resources—primarily physical servers and virtual machines—that Microsoft Azure manages to provide scalable, reliable, and secure cloud computing services.
36
Azure Host groups (Compute I.S.)
are logical containers used to organize and manage Azure Dedicated Hosts within your subscription.
37
Azure Lab accounts (Compute I.S.)
is a top-level resource in Azure Lab Services that helps you manage and organize multiple labs within your Azure subscription. Educational institutions creating multiple classrooms or courses with different labs. Under this account, you create individual labs where you configure and provide virtual machines or environments for users. The lab account manages settings like quotas, cost limits, and user roles.
38
Azure SSH keys (Compute I.S.)
are a pair of cryptographic keys used to securely authenticate and establish a connection between a client and a server, commonly used for secure access to remote machines like Linux servers or Azure VMs.
39
Azure VM image definitions (Compute I.S.)
are part of the Azure Compute Gallery (formerly Shared Image Gallery) and act as a blueprint or container for a set of related VM images, allowing you to organize, manage, and share custom VM images efficiently.
40
Azure App Services (Compute PaaS)
is a fully managed Platform as a Service (PaaS) offering from Microsoft Azure that enables you to build, deploy, and scale web apps, mobile app backends, RESTful APIs, and more — without worrying about infrastructure management.
41
Azure Virtual Instance for SAP solutions (Compute PaaS)
are specially designed Azure Virtual Machines and related services optimized to run SAP workloads—like SAP ERP, S/4HANA, and other SAP applications—in the cloud with high performance, scalability, and reliability. Pre-configured, certified Azure VM sizes and configurations tailored for SAP workloads.
42
Azure Cloud Services ext support (Compute PaaS)
is an updated, modernized version of the classic Azure Cloud Services platform, designed to provide continued support, enhanced capabilities, and improved management for legacy Cloud Services applications. Helps customers maintain and modernize legacy applications while benefiting from Azure’s latest capabilities.
43
Azure Spring apps (Compute PaaS)
is a fully managed service from Microsoft Azure specifically designed to help you build, deploy, and scale Spring Boot applications easily in the cloud. Spring Boot applications, a popular Java framework.
44
Azure Container apps (Compute Serverless and microservices)
is a fully managed serverless container service from Microsoft Azure that enables you to run microservices and containerized applications without managing infrastructure or orchestrators like Kubernetes directly.
45
Azure Kubernetes service - Automatic (Compute Serverless and microservices)
in AKS refers to the capability of the Kubernetes cluster to automatically adjust the number of nodes or pods based on workload demand. This helps ensure your applications have enough resources during peak times and saves cost during low demand.
46
Azure Container Apps Environments (Compute Serverless and microservices)
are logical, secure boundaries that host one or more Azure Container Apps, providing networking, scaling, and isolation features for your containerized applications.
47
Azure Kubernetes services (Compute Serverless and microservices)
AKS lets you deploy, manage, and scale containerized applications using Kubernetes without needing to manage the underlying infrastructure.
48
Azure Function Apps (Compute Serverless and microservices)
are a serverless compute service in Microsoft Azure that lets you run small pieces of code (called functions) without worrying about managing servers or infrastructure.
49
Azure BareMetal Instance (Compute HPC)
refers to dedicated physical servers provided by Azure, where you get exclusive access to the entire hardware server without any virtualization layer.
50
Azure SAP HANA on Azure (Compute HPC)
refers to running SAP HANA—an in-memory, high-performance database system—on Microsoft Azure’s cloud infrastructure.
51
Azure Batch accounts (Compute HPC)
is a resource in Microsoft Azure that lets you run large-scale parallel and high-performance computing (HPC) batch jobs efficiently in the cloud. Examples Scientific simulations and modeling, Media rendering and transcoding.
52
Azure Quantum Workspaces (Compute HPC)
are cloud-based environments in Microsoft Azure designed to help you develop, run, and manage quantum computing applications and experiments. *Simplify access to diverse quantum hardware and simulators. *Accelerate quantum application development with integrated tools. *Manage and monitor quantum computing jobs in one place.
53
Azure Machines - Azure Arc (Compute Hybrid cloud)
refers to the capability of managing and governing servers or virtual machines (VMs) outside of Azure—whether they’re on-premises, in other clouds, or at the edge—using Azure management tools. *Simplify governance, compliance, and security enforcement across hybrid environments. *Use Azure-native tools to monitor and maintain servers outside Azure.
54
Azure Container (Container infrastructure)
is a service in Microsoft Azure that lets you run containers easily and quickly in the cloud without managing any virtual machines or orchestration platforms. *Supports Linux and Windows containers. *You pay only for the resources (CPU, memory) your container uses while it runs.
55
Azure Container registries (Container infrastructure)
is a managed, private container image registry service in Azure that allows you to store and manage container images and artifacts securely.
56
Azure Kubernetes fleet management (Container management)
is a solution by Microsoft Azure that allows you to manage, govern, and operate multiple Kubernetes clusters at scale across different environments—whether on Azure, on-premises, or in other clouds—from a single control plane.
57
Azure Red Hat OpenShift clusters (Container management)
are a fully managed, jointly supported service by Microsoft and Red Hat that provides OpenShift—a Kubernetes-based container platform—running natively on Azure.
58
Azure Service Fabric Cluster (Container management)
is a distributed systems platform by Microsoft Azure designed to simplify building, deploying, and managing scalable and reliable microservices and containers.
59
Azure App Configuration (Containerized Applications)
is a managed service in Azure designed to help you centralize and manage application settings and feature flags securely and at scale.
60
Azure Container App Job (Containerized Applications)
is a feature of Azure Container Apps that lets you run batch or scheduled containerized workloads in a serverless environment. *Scheduled maintenance or cleanup tasks. *Triggered background jobs for applications. *Running one-time or periodic containerized scripts.
61
Azure Container Apps (Containerized Applications)
is a fully managed serverless container service in Azure that lets you run microservices and containerized applications without managing complex infrastructure like Kubernetes clusters.
62
Azure SQL Database (Azure SQL)
is a fully managed relational database service provided by Microsoft Azure, built on the SQL Server engine. *Easily scale to meet application demands. *Ensure high availability and disaster recovery with built-in features. *Enhance security and compliance with advanced protection. *Integrate seamlessly with Azure services and your applications.
63
SQL Server on Azure Virtual Machines (Azure SQL)
is an Infrastructure-as-a-Service (IaaS) offering where you run a full version of Microsoft SQL Server on a virtual machine hosted in Azure. *Migrating existing on-premises SQL Server databases with minimal changes. *Applications requiring unsupported features in managed Azure SQL services. *Custom SQL Server configurations and optimizations. *Legacy applications needing full SQL Server access.
64
SQL Database Hyperscale (Azure SQL)
is a highly scalable service tier within Azure SQL Database designed to handle very large databases with rapid growth and high-performance needs. *Large SaaS applications with rapidly growing data. *Big data analytics platforms. *IoT data ingestion and processing. *High-transaction OLTP systems needing massive storage and performance.
65
SQL Managed instance (Azure SQL)
is a fully managed, scalable cloud database service that combines the best features of Azure SQL Database with near 100% compatibility with on-premises SQL Server. *Lift-and-shift migrations of on-premises SQL Server databases. *Applications requiring SQL Server features not available in Azure SQL Database. *Multi-database applications needing instance-level features.
66
Azure Cosmos DB (Azure SQL, Build new applications)
is a fully managed, globally distributed NoSQL database service from Microsoft Azure designed for high performance, low latency, and scalability. *Real-time personalization and recommendation engines. *IoT and telemetry data ingestion. *Retail, gaming, and financial apps needing global scale.
67
Azure Database for PostgreSQL flexible servers (Azure SQL, Build new applications)
is a fully managed, intelligent, and highly customizable PostgreSQL database service on Azure designed to give you more control over performance, availability, and cost.
68
Azure Cosmos DB for MongoDB (vcore) (Modernizing existing applications)
is a fully managed, globally distributed NoSQL database service in Azure that provides MongoDB compatibility — allowing you to use MongoDB tools, drivers, and queries while benefiting from Azure Cosmos DB’s global scalability, high availability, and low latency. *Global web or mobile applications with low-latency data access. *Real-time analytics, personalization, and recommendation systems. *IoT and telemetry data ingestion. *SaaS platforms that need elastic, multi-tenant storage. *Migrating MongoDB workloads to a managed, globally distributed environment.
69
MongoDB Atlas (PARTNER) (Modernizing existing applications)
is a fully managed cloud database service provided by MongoDB, Inc. that runs the MongoDB database engine on major cloud platforms like Azure, AWS, and Google Cloud. It automates database setup, scaling, backups, and maintenance, allowing developers to focus on building applications instead of managing infrastructure. Web and mobile applications needing a flexible, JSON-based data model. *Multi-region or multi-cloud SaaS applications. *Event-driven and real-time analytics workloads. *IoT and content management platforms. *Applications requiring automatic scaling and minimal downtime.
70
Azure Database for MySQL flexible servers (Modernizing existing applications)
is a managed database service provided by Microsoft Azure that lets you run, manage, and scale MySQL databases in the cloud. It’s built on open-source MySQL and is designed for high availability, performance, and flexibility in deployment and management. Use Cases *Hosting web applications (e.g., WordPress, Magento, Laravel). *Supporting data-driven mobile or SaaS apps. *Running business-critical applications requiring HA and predictable performance. *Development and testing environments where pausing servers saves cost.
71
Azure Neon Serverless Postgres (PARTNER) (Modernizing existing applications)
is a fully-managed, serverless variant of PostgreSQL, integrated as an “Azure Native Integration” within Microsoft Azure. It’s provided by Neon Inc. (built on open-source Postgres) and is now directly available in the Azure ecosystem. *Web or mobile applications with variable or unpredictable workload: Because of autoscaling and serverless nature, you don’t need to constantly over-provision. *Development, testing, staging environments: Branching support makes it easy to manage isolated copies of production data for testing changes safely.
72
Azure Managed Instance for Apache Cassandra (Modernizing existing applications)
is a managed database service that lets you run Apache Cassandra workloads in the Azure cloud, without having to manage the underlying infrastructure yourself. It’s part of Azure’s “NoSQL” database offerings and provides scalability, high availability, and hybrid deployment capabilities — while staying compatible with open-source Cassandra. Already use Apache Cassandra and want to move to Azure without rewriting your applications. *Need hybrid deployment (part on-prem, part in cloud). *Require fine-grained control over cluster configuration (more than Cosmos DB offers). *Want managed infrastructure but not a fully abstracted API.
73
Oracle Database@Azure (Modernizing existing applications)
is a joint cloud service from Microsoft and Oracle that allows you to run Oracle Database workloads natively inside Microsoft Azure data centers, fully managed by Oracle but deeply integrated with Azure’s ecosystem.
74
Azure Arc data controllers (Hybrid data services)
is the central management and control component of Azure Arc–enabled data services, which allows you to run and manage Azure data services—like Azure SQL Managed Instance and Azure Database for PostgreSQL Hyperscale—outside of Azure, such as on-premises, at the edge, or in other public clouds, while still using Azure’s governance, monitoring, and security capabilities. Think of the Azure Arc Data Controller as the “control plane” that makes Azure’s cloud database services work anywhere — not just in Azure’s own datacenters.
75
SQL managed instances - Azure Arc (Hybrid data services)
is a hybrid cloud database service that brings the capabilities of Azure SQL Managed Instance (MI) to any infrastructure — whether on-premises, in other clouds, or at the edge — using Azure Arc and Kubernetes.
76
Azure Arc | SQL Server instances (Hybrid data services)
is a feature of Azure Arc that allows you to connect, manage, and govern your existing SQL Server instances running on-premises, at the edge, or in other clouds, using Azure’s management, security, and governance tools — without moving the data into Azure. It’s a way to make any SQL Server instance “visible and manageable in Azure”, even if it’s not hosted in Azure.
77
Azure Cache for Redis (Additional data services)
is a fully managed, in-memory data store and cache service based on the popular open-source Redis engine. It is designed to improve the performance and scalability of applications by storing frequently accessed data in memory, allowing ultra-fast read and write operations. In simple terms: 💡 Think of it as a super-fast “shortcut” storage layer for your applications, so they don’t always have to query slower databases or external services.
78
Azure Managed databases (Additional data services)
are database services where the cloud provider handles most of the operational tasks, so you can focus on using the database without worrying about infrastructure, maintenance, or complex administration. In simple terms: 💡 A managed database is like renting a fully staffed restaurant instead of buying a building — you just bring the ingredients (your data) and use the service, while the provider handles everything else (cooking, cleaning, security, scaling).
79
Azure Database Migration Service (Additional data services)
is not a single service but refers to a set of supplementary or specialized data services in Azure that extend the capabilities of the core Azure database offerings. These services are designed to handle advanced, high-performance, hybrid, or specialized workloads beyond standard database needs. Think of it as the “extra toolkit” for your data in Azure.
80
Azure Managed Redis (Additional data services)
is a fully managed, in-memory data store and caching service based on the open-source Redis engine. It is designed to improve application performance and scalability by storing frequently accessed data in memory, enabling ultra-fast data access. In simpler terms: 💡 It’s like having a super-fast “shortcut” storage layer in front of your database, so your applications don’t always have to query slower disk-based databases.
81
Elastic Job agents (Additional data services)
are a feature of Azure SQL Database that allow you to orchestrate, automate, and run jobs across multiple databases — either within a single server or across many servers. They are designed for large-scale, repetitive, or scheduled database operations. In simple terms: 💡 Think of an Elastic Job Agent as a “coordinator for SQL tasks” that can run scripts on many databases at once, without logging into each one individually.
82
Dev OPS list fill.
83
Azure All Resources (General, Resource Manager)
it generally refers to all the resources you have deployed within your Azure subscription. In Azure, a resource is any manageable item that you can create, configure, or use in Azure, such as virtual machines, databases, storage accounts, or networking components. 🚀 In Simple Terms Azure resources are the building blocks of your cloud environment. “All resources” is simply a list of every item in your subscription, across all resource groups, regions, and types.
84
Azure Resource Explorer (General, Resource Manager)
is a web-based tool provided by Microsoft that allows you to explore, view, and interact with all the resources in your Azure subscription using the Azure Resource Manager (ARM) API. It’s primarily used for advanced users, developers, and administrators who want to inspect the detailed JSON representation of Azure resources and understand their structure.🚀 In Simple Terms Azure Resource Explorer is like a file explorer for Azure resources, but instead of folders and files, it shows subscriptions, resource groups, and resources with all their properties, configurations, and metadata in JSON format.
85
Azure Resource groups (General, Resource Manager)
are logical containers in Azure that hold related resources for a cloud solution. They allow you to organize, manage, and control access to multiple resources (like VMs, databases, storage accounts, and networks) as a single unit. 🚀 In Simple Terms A resource group is like a folder in Azure that contains all the resources needed for a project or application. Instead of managing each resource individually, you manage them collectively.
86
Azure Tags (General, Resource Manager)
are metadata labels you can apply to Azure resources, resource groups, or subscriptions to organize, manage, and track resources more effectively. They consist of key-value pairs that help with categorization, cost management, and automation. 🚀 In Simple Terms Think of tags as sticky notes on your Azure resources that describe what the resource is for, who owns it, or which environment it belongs to.
87
Azure Management groups (General, Resource Manager)
are containers in Azure that help you organize and manage multiple Azure subscriptions in a hierarchy, making it easier to apply governance, policies, and access controls consistently across your organization. 🚀 In Simple Terms Think of management groups as folders above your subscriptions that allow you to manage policies, access, and compliance rules for multiple subscriptions at once.
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Azure Resource graph explorer (General, Resource Manager)
is a powerful tool in Azure that lets you query, explore, and analyze all your Azure resources at scale. It provides fast, efficient search and filtering across multiple subscriptions using the Kusto Query Language (KQL), the same language used in Azure Monitor and Log Analytics. 🚀 In Simple Terms Think of Resource Graph Explorer as a search engine for your Azure resources. Instead of looking at one resource group or subscription at a time, you can query and analyze thousands of resources across all subscriptions quickly.
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Azure Service groups (General, Resource Manager)
flexible and parallel hierarchy for organizing and managing resources across subscriptions and resource groups. Unlike traditional Azure resource hierarchies, Service Groups allow resources to belong to multiple groupings, enabling tailored views and management capabilities for various operational or organizational needs. This feature is currently in preview.
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Azure Template specs (General, Resource Manager)
are a way to store, manage, and reuse Azure Resource Manager (ARM) templates as versioned resources in Azure. Essentially, they let you treat ARM templates as first-class Azure resources, making it easier to maintain infrastructure-as-code at scale.
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Azure Recent resources (General, Resource Manager)
are simply a list of resources that you have recently accessed or worked with in the Azure portal. They are not a special type of resource—they’re more like a shortcut or quick-access feature to help you navigate the portal efficiently.
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Azure Resources Graph queries (General, Resource Manager)
are a way to explore, analyze, and report on your Azure resources at scale using a powerful query language. They let you query across subscriptions and resource groups quickly, which is especially useful in large environments.
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Azure Subscription (General, Resource Manager)
is essentially a logical container in Azure that holds your resources, enforces access control, and manages billing. Think of it as the “account” or “bucket” under which all your Azure resources—like Virtual Machines, Storage Accounts, and Databases—live.
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Azure Cost Management + Billing (General, Billing)
is a suite of tools and services provided by Microsoft Azure that helps organizations track, manage, and optimize their cloud spending across Azure and other connected environments (like AWS). *Finance teams: Budget forecasting and chargebacks. *IT admins: Identifying waste and optimizing resources. *Executives: Getting high-level visibility into cloud spend. *Developers: Understanding the cost impact of deployments.
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Azure Reservations (General, Billing)
are a way to save money on Azure resources by committing to use certain services for one or three years — in exchange for a discount (often 20%–72%) compared to pay-as-you-go pricing. They’re ideal for workloads that run continuously or predictably, since you’re essentially pre-paying for capacity you know you’ll use.
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Azure Free Services (General, Billing)
are a collection of no-cost or limited-cost offerings from Microsoft Azure that let you explore, learn, and build cloud solutions without immediately incurring charges. They’re designed to help individuals, developers, and organizations try Azure safely, understand how services work, and prototype solutions before committing to paid usage.
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Azure Quotas (General, Billing)
also called Azure limits define the maximum number of resources or services you can use within your Azure subscription or region. They are essentially usage caps that help Microsoft manage resources efficiently across millions of customers, while also giving you predictable control over your own deployments. *To protect resources and maintain system stability. *To prevent accidental overuse or runaway costs. *To help organizations control and govern cloud usage.
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Azure Education (General, get started)
is Microsoft’s collection of programs, tools, and services designed to help students, educators, and academic institutions learn, teach, and build using cloud technologies — all at little or no cost.
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Azure Preview features (General, get started)
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Azure Quick start center (General, get started)
is a guided, centralized onboarding experience in the Microsoft Azure portal designed to help users—especially new ones—quickly learn, deploy, and manage Azure services. *Ideal for new Azure users or organizations just starting cloud adoption. *Reduces setup time by providing predefined best-practice configurations. *Helps avoid common mistakes in areas like security, cost control, and resource organization.
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Azure Access Connector for Azure Databricks (Identity, Identity management)
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Azure Help and Support (General, Help + Support)
is the central place in the Microsoft Azure portal where you can get help, troubleshoot issues, and create support requests related to your Azure services and resources. *Diagnose problems *Access documentation and troubleshooting guides *Contact Microsoft support (depending on your support plan)
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Azure Service Health (General, Help + Support)
is a feature in the Microsoft Azure portal that helps you track the health and status of Azure services—both globally and for your specific resources. *Ongoing service issues or outages *Planned maintenance events *Health advisories that might affect performance or availability *It’s designed to help you understand what’s happening, how it impacts your resources, and what actions to take to stay operational.
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Hybrid and multi-cloud list
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Azure Microsoft Entra Connect Health (Identity, Hybrid identity management)
is a monitoring and reporting service for Azure Active Directory (Azure AD) hybrid environments, specifically designed to help organizations maintain a healthy and secure identity infrastructure. It’s part of the Microsoft Entra suite (Microsoft’s identity and access management platform) and is primarily used with Azure AD Connect, which synchronizes on-premises Active Directory (AD) with Azure AD.
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Azure AD B2C (Identity, Identity as a service)
(Business-to-Consumer) is a cloud identity service from Microsoft that allows organizations to provide secure access to their applications for external users (customers, partners, or consumers). It’s part of the Microsoft Entra identity platform. *Authenticate users using their preferred identity (social accounts, local accounts, or enterprise accounts). *Provide single sign-on (SSO) and secure access to web, mobile, and desktop applications. *Customize user experiences like sign-up, sign-in, and profile management.
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Azure Ext. Identities (Identity, Identity as a service)
is a feature of Microsoft Entra (Azure Active Directory) that allows organizations to securely collaborate and interact with users outside their organization, such as partners, contractors, or customers, while giving them access to your applications or resources.
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Azure B2C Tenants (Identity, Identity as a service)
are a specific type of Azure Active Directory (Azure AD) tenant designed to manage authentication and identity for external users—typically customers or consumers—rather than internal employees. They are part of Azure AD B2C, which is Microsoft’s cloud identity solution for apps that need to allow users to sign up, sign in, and manage their profiles.
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Azure Enterprise App (Identity, Identity as a service)
is a type of application in Azure Active Directory (Azure AD) that is primarily used for managing access to applications for your organization’s users. These are often pre-integrated SaaS (Software as a Service) applications or line-of-business apps that you want to control centrally. *Centralized access management for SaaS apps (Salesforce, Dropbox, Zoom). *Internal line-of-business applications requiring SSO. *Applying security policies like MFA or Conditional Access to apps.
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Azure Access Connector for Azure Databricks (Identity, Identity management)
is a first-party Azure resource that facilitates secure and scalable access to Azure data services from Azure Databricks, particularly when using Unity Catalog for data governance. It enables the use of managed identities to authenticate and authorize Databricks workloads to access Azure resources like Azure Data Lake Storage (ADLS) Gen2, without the need for traditional credentials such as account keys or SAS tokens.
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Azure External Configuration Tenant (Identity, Identity management)
is used to manage or store settings, configurations, or policies that apply to external users or external connections — not your organization’s main internal tenant.
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Azure Managed Identities (Identity, Identity management)
that allows Azure services to securely access other Azure resources — without needing usernames, passwords, or secrets. In short: A Managed Identity gives your Azure service (like a VM, Function App, or Logic App) its own identity in Entra ID so it can authenticate to other services securely — no credentials required.
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Azure Entra ID (Identity, Identity management)
is Microsoft’s cloud-based identity and access management (IAM) service. It helps organizations: *Authenticate users and devices, *Authorize access to applications and resources, and *Securely manage identities across cloud and on-premises environments.
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Azure App registrations (Identity, Identity management)
is a record in Microsoft Entra ID (Azure AD) that defines how an application (web app, API, desktop app, mobile app, etc.) integrates with the Microsoft identity platform for authentication and authorization. In simple terms: App registration is how you tell Azure, “This is my app — here’s who can use it, and what it’s allowed to do.”
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Azure Guest Usages (Identity, Identity management)
refers to the use of external (guest) accounts — users who are not part of your organization’s primary Microsoft Entra tenant — but who are invited to collaborate and access resources within your tenant. In simple terms: Guest Usage = when people outside your company (partners, vendors, contractors, customers) use your Azure AD / Entra ID resources securely, without creating local accounts for them.
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Azure Entra Domain Services (Identity, Identity management)
like domain join, Group Policy, LDAP, and Kerberos/NTLM authentication — without needing to deploy or manage your own domain controllers in the cloud. In simple terms: AAD DS gives you a domain in Azure that works like a traditional on-premises Active Directory, but Microsoft manages it for you.
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Azure Privileged Identity Management (Identity, Identity management)
is a service in Microsoft Entra ID that helps you manage, control, and monitor privileged access to: *Azure resources (subscriptions, resource groups, etc.) *Microsoft Entra ID roles (like Global Administrator, User Administrator) *Other connected Microsoft services (like Microsoft 365 or Intune) In simple terms: PIM controls who can become an admin, when, and for how long — instead of leaving admin privileges active all the time.
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Azure Identity Governance (Identity, Security and protection)
is a set of tools and policies within Microsoft Entra ID (formerly Azure AD) that helps organizations manage identity lifecycle, control access, and ensure compliance — especially in large or complex environments. In simple terms: Azure Identity Governance ensures the right people have the right access to the right resources, for the right amount of time — and that it’s all auditable.
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Azure Entra ID Security (Identity, Security and protection)
refers to the security features and capabilities within Microsoft Entra ID (formerly Azure Active Directory) that help organizations: *Protect identities (users, devices, apps, workloads) *Secure authentication and access *Detect and respond to identity-based threats *Enforce Zero Trust principles In simple terms: It’s the collection of tools and policies that keep your organization’s logins, accounts, and access safe in the Microsoft cloud.
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Azure Entra ID Protection (Identity, Security and protection)
is a security service in Microsoft Entra ID (formerly Azure AD) that detects, investigates, and remediates identity-based risks for users and sign-ins. In simple terms: It monitors user accounts and sign-ins for suspicious activity and helps prevent account compromise.
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Azure Verified ID (Identity, Security and protection)
is a decentralized identity service that allows organizations to issue, verify, and manage trusted digital credentials for people, organizations, or devices. In simple terms: It lets you digitally prove claims about a user or organization (like age, employment, or certifications) without relying solely on a central authority.
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Azure Apache Airflow on Astro (Integration, Workflow and orchestration)
is a managed data orchestration service that embeds Astronomer's Astro platform into the Azure ecosystem, making it easier to deploy, manage, and scale Apache Airflow workflows within Azure. This service allows users to use the open-source Apache Airflow platform to orchestrate complex data pipelines and includes enterprise-grade features for reliability, scalability, and observability, all managed through a single bill and integrated into the Azure portal.
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Azure Logic Apps (Integration, Workflow and orchestration)
is a cloud-based integration and workflow automation service from Microsoft Azure. It lets you create, schedule, and run workflows that connect apps, data, services, and systems — without having to write much (or any) code.
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Azure App Configuration (Integration, Workflow and orchestration)
is a centralized service for managing application settings and feature flags across multiple apps, environments, and deployments. In short: it helps you store and control configuration data (like connection strings, app settings, and feature toggles) in one secure, cloud-based place — instead of scattering them across your code, config files, or environments.
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Azure Logic Apps Custom Connector (Integration, Workflow and orchestration)
is a custom-built API connector that lets you integrate your own or third-party REST APIs into Logic Apps (as if they were built-in connectors like Outlook, SQL, or Teams). In other words — if your app or API isn’t covered by the hundreds of prebuilt Logic Apps connectors, you can create a custom connector to expose it in the Logic Apps Designer, with your own triggers and actions.
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Azure Integration accounts (Integration, Workflow and orchestration)
are cloud-based containers in Microsoft Azure that store and manage integration artifacts — such as schemas, maps, partners, agreements, and certificates — used to build B2B (business-to-business) and enterprise integration workflows in Azure Logic Apps. They provide the foundation for complex message-based integrations, such as EDI, XML transformations, and AS2 communications between trading partners.
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Azure API Connections (Integration, API Management)
are authenticated connectors that let Azure Logic Apps, Power Automate, and Power Apps securely connect to external services and APIs — such as Office 365, SQL Server, SharePoint, Salesforce, Azure Storage, and hundreds of others. They act as the bridge between your Logic App and the service it calls, managing authentication, authorization, and configuration details for you.
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Azure FHIR service (Integration, API Management)
is a managed, standards-based healthcare data platform that lets you store, manage, and exchange clinical health data in the HL7 FHIR format. It provides a secure, compliant, and fully managed FHIR API endpoint so healthcare organizations can quickly make health data interoperable — without building or maintaining their own FHIR server infrastructure.
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Azure API for FHIR (Integration, API Management)
is a managed, standards-based, healthcare data platform that enables you to store, manage, and exchange clinical health data in the HL7® FHIR® (Fast Healthcare Interoperability Resources) format. It provides a secure, scalable FHIR server as a Platform-as-a-Service (PaaS) — meaning Microsoft manages the infrastructure, security, and compliance, so you can focus on healthcare applications and analytics.
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Azure Health Data Services workspace (Integration, API Management)
is a logical container in Azure that holds and organizes healthcare data services and resources — such as FHIR Service, DICOM Service, and MedTech Service — under a single workspace. It acts as a management boundary for healthcare data, providing security, governance, and compliance controls in one place. 🧠 In simple terms, Think of an HDS workspace as a “hub” for your healthcare data in Azure. It organizes all your health data resources, defines access controls, and simplifies auditing and monitoring, while keeping everything HIPAA- and HITRUST-compliant.
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Azure API Management services (Integration, API Management)
is a fully managed service that helps organizations publish, secure, monitor, and manage APIs (Application Programming Interfaces) at scale. It acts as a gateway and control layer between your backend services (APIs) and the consumers of those APIs — whether internal developers, external partners, or third-party applications. 🧠 In simple terms, Azure API Management is like a front door for your APIs. It lets you secure, monitor, control, and share APIs without exposing your backend systems directly.
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Azure Apache Kafka® & Apache Flink® on Confluent Cloud™ - An Azure Native ISV Service (Integration, Messaging services)
offers a fully managed, cloud-native data streaming platform. It allows users to provision, manage, and integrate Confluent's services, which include the event streaming platform Apache Kafka and the stream processing framework Apache Flink, directly within the Azure portal. Key features include unified billing, single sign-on (SSO) through Azure Active Directory, and seamless integration with other Azure services via pre-built connectors.
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Azure Event Hubs Clusters (Integration, Messaging services)
are a fully managed, high-throughput, real-time data streaming platform in Microsoft Azure designed for ingesting, processing, and storing massive amounts of event data. Think of them as a highly scalable backbone for event-driven architectures, IoT telemetry, and real-time analytics pipelines. Let’s break it down step by step.
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Azure Event Grid (Integration, Messaging services)
is a fully managed event routing service in Microsoft Azure that enables event-driven, serverless applications. It allows you to react to changes or events from various sources in real time by routing those events to different services or applications.
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Azure Relays (Integration, Messaging services)
is a fully managed service in Microsoft Azure that enables secure communication between applications across network boundaries, without requiring you to open inbound ports or expose your internal network to the public internet. In simple terms, it allows hybrid applications (on-premises + cloud) to communicate securely.
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Azure Event Hubs (Integration, Messaging services)
is a fully managed, real-time data ingestion service in Microsoft Azure, designed to collect, process, and store massive amounts of event data from multiple sources. It’s often used for big data streaming, telemetry, and event-driven architectures.
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Azure Service Bus (Integration, Messaging services)
is a fully managed enterprise messaging service in Microsoft Azure that enables reliable communication between applications and services. It’s designed for decoupling components, handling asynchronous workflows, and supporting complex messaging patterns such as queues, topics, and publish-subscribe.
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Azure IoT Central Applications (Internet of things, Build your IoT solution)
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