Azure Advisor is a service that provides recommendations to help you optimize your Azure resources for performance, security, high availability, and cost efficiency. It analyzes your configurations and usage patterns to offer actionable suggestions that can help you improve the reliability and efficiency of your deployments on the Azure platform.
Web Role: Specialized virtual machine for hosting web applications in Azure Cloud Services.
Worker Role: Specialized virtual machine for running background processing tasks in Azure Cloud Services.
VM Role: As of my last update in September 2025, there isn't a distinct ""VM Role"" in Azure. Instead, Azure provides Virtual Machines (VMs) that can fulfill various roles based on the applications and services they run. Always refer to the latest Azure documentation for the most accurate information.
Azure Stack is an extension of the Azure cloud platform that enables organizations to deploy Azure services on-premises or at the edge, creating a consistent hybrid cloud environment. It allows businesses to build and run applications using the same tools and services available in the public Azure cloud, while also retaining control over data and compliance by keeping some resources in their own data centers. Azure Stack helps bridge the gap between on-premises infrastructure and public cloud, allowing for a seamless hybrid cloud strategy.
Azure Key Vault is a cloud service that allows you to safeguard and manage cryptographic keys, secrets, certificates, and other sensitive information. It provides a secure and centralized location to store, manage, and control access to keys and secrets used by cloud applications and services. Using Azure Key Vault, you can create, import, and manage encryption keys and secrets, which are crucial components of secure applications. It helps you ensure the confidentiality and integrity of your data by allowing you to manage these sensitive assets separately from your application code, while also controlling access to them through robust access policies and permissions.
All the mentioned services - Azure App Service, Azure Kubernetes Service (AKS), Azure Functions, and Azure Cognitive Services (Knowledge, Translation, Audio, Visual, and Speech) - include serverless features or serverless-like capabilities in their respective domains. These services offer different levels of abstraction from infrastructure management, making them suitable for various application scenarios and development approaches within the Azure cloud environment.
Capacity issues occur when the demand for a cloud service surpasses the available resources and infrastructure to support that demand. This can lead to slowdowns, service degradation, and even outages. During periods of high demand, such as during a sudden surge in usage or increased traffic due to events or updates, the cloud provider's infrastructure might become overwhelmed and struggle to allocate resources effectively to meet the demands of all users.
IaaS provides virtualized computing resources over the internet. With IaaS, you can rent IT infrastructure from a cloud provider on a pay-as-you-go basis. Azure VMs are a prime example of IaaS, as they offer virtualized compute resources that can be used to run operating systems and applications.
Tthere are indeed three tiers in Azure Blob storage: Hot, Cool, and Archive. These tiers allow you to optimize your storage costs based on the frequency of data access and retention requirements. Please refer to the official Azure documentation for any recent changes or updates regarding Azure Blob storage tiers.
Automate information extraction to speed up commercial operations. Advanced machine learning techniques are used by Form Recognizer to precisely extract text, key/value pairs, and tables from documents. Form Recognizer adapts its comprehension to your papers, whether on-premises and in the cloud, using just a few sample documents. Reduce the time and expense required to convert forms into useful data so that you may spend more time acting on the information and less time gathering it.
All of the mentioned web applications – WCF, ASP, and PHP – can be hosted and displayed on Azure.
The primary objective of Azure Service Fabric is to provide a platform for building and managing containers and microservices. Azure Service Fabric is a distributed systems platform that simplifies the development, deployment, and management of applications composed of microservices. It enables developers to build scalable and reliable applications using microservices architecture, where applications are broken down into smaller, independent services that can be developed, deployed, and scaled independently.
IPsec is a set of protocols and standards used to secure Internet Protocol (IP) communications by authenticating and encrypting each IP packet within a communication session. It provides a secure and encrypted connection between two entities, such as network devices or virtual networks, over an untrusted network like the internet.
The company that was acquired by Microsoft to help customers plan and execute migration to its Azure platform is Movere. Movere is a technology company that specializes in providing insights and solutions for optimizing cloud migrations and digital transformation strategies. The acquisition of Movere by Microsoft aimed to enhance the capabilities and tools available to customers looking to migrate their workloads to the Azure cloud platform.
Azure Custom Vision is designed specifically for creating and training custom image classification models with minimal machine learning expertise. It allows you to build a custom image classification model by providing labeled images of the products you want to identify, along with their associated classes (competitor products in this case). Custom Vision provides a user-friendly interface to upload images, label them, and train a custom model using those labeled images. Once the model is trained, you can integrate it into your tool to perform real-time image classification on new images from retail stores, identifying the products of competitors based on the classes you defined during the model creation.
REST is an architectural style used for designing networked applications and services, often in the context of web services. It is used for building APIs that are lightweight, scalable, and interoperable. Azure services, including its APIs and endpoints, often adhere to RESTful principles for communication.
The components of Azure Cognitive Services that are made up of Vision, Speech, Language, Search, and Decision are Azure AI. The combination of these capabilities under the umbrella of Azure AI enables developers to integrate advanced AI functionalities into their applications without needing in-depth AI expertise.
