Azure AZ-900 Questions and Answers Rated A+

Azure AZ-900 Questions and Answers Rated A+ Cloud Computing is the delivery of computing services—servers, storage, databases, networking, software, analytics, intelligence and more—over the internet (the cloud), enabling faster innovation, flexible resources, and economies of scale. You typically pay only for cloud services you use, helping lower your operating costs, run your infrastructure more efficiently, and scale as your business needs change. Cloud provider company providing the services Cloud computing services Compute power - such as Linux servers or web applications. Storage - such as files and databases. Networking - such as secure connections between the cloud provider and your company. Analytics - such as visualizing telemetry and performance data. VMs aren't the only computing choice there are two other popular options: containers and serverless computing. Containers provide a consistent, isolated execution environment for applications. They're similar to VMs except they don't require a guest operating system. Instead, the application and all its dependencies is packaged into a "container" and then a standard runtime environment is used to execute the app. This allows the container to start up in just a few seconds, because there's no OS to boot and initialize. You only need the app to launch. Serverless computing lets you run application code without creating, configuring, or maintaining a server. The core idea is that your application is broken into separate functions that run when triggered by some action. This is ideal for automated tasks - for example, you can build a serverless process that automatically sends an email confirmation after a customer makes an online purchase. you only pay for the processing time used by each function as it executes. VMs and containers are charged while they're running - even if the applications on them are idle High availability The ability to keep services up and running for long periods of time, with very little downtime, depending on the service in question. Scalability The ability to increase or decrease resources for any given workload. You can add additional resources to service a workload (known as scaling out), or add additional capabilities to manage an increase in demand to the existing resource (known as scaling up). Scalability doesn't have to be done automatically. Elasticity The ability to automatically or dynamically increase or decrease resources as needed. Elastic resources match the current needs, and resources are added or removed automatically to meet future needs when it's needed (and from the most advantageous geographic location). A distinction between scalability and elasticity is that elasticity is done automatically. Agility The ability to react quickly. Cloud services can allocate and deallocate resources quickly. They are provided on-demand via self-service, so vast amounts of computing resources can be provisioned in minutes. There is no manual intervention in provisioning or deprovisioning services. Fault tolerance The ability to remain up and running even in the event of a component (or service) no longer functioning. Typically, redundancy is built into cloud services architecture, so if one component fails, a backup component takes its place. This type of service is said to be tolerant of faults. Disaster recovery The ability to recover from an event which has taken down a cloud service. Cloud services disaster recovery can happen very quickly, with automation and services being readily available to use. Global reach The ability to reach audiences around the globe. Cloud services can have a presence in various regions across the globe, which you and your customer can access, giving you a presence in those regions even though you may not have any infrastructure in that region. Customer latency capabilities If customers are experiencing slowness with a particular cloud service, they are said to be experiencing some latency. Even though modern fiber optics are fast, it can still take time for services to react to customer actions if the service is not local to the customer. Cloud services have the ability to deploy resources in datacenters around the globe, which addresses any customer latency issues. Predictive cost considerations The ability for users to predict the costs they will