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Amazon Web Services (AWS) Certified Cloud Practitioner exam questions and answers with their clear explanations. The questions prepares you for the exam from the first chapter --The cloud Concepts. I have discussed questions related to characteristics of cloud computing, cloud computing models like SaaS, Paas and Iaas, Scalibility, Elasticity and Auto-Scaling. AWS has globally distributed data centers in different edge locations of different regions and availability zones. So the infrastructure in the data centers are more reliable as experienced security engineers are deployed to work there. So they contribute to the operational value. Also, metered, pay-per-use pricing adds operational value as we can use a wider range of workloads in our business. We pay when we use, and don’t pay when they are idle. Virtualization is preparing multiple virtual computer systems in a single physical system. So, we can create and launch computer systems faster. A hypervisor is software (not hardware) that allows us to run multiple operating systems in a physical hardware so hypervisor administrates virtualized operations. Infrastructure as a Service, allows us to directly access infrastructure from the cloud provider. The infrastructure includes compute and storage resources like, Servers, network devices, storage, etc. Platform as a Service that hides Infrastructure complexity behind a simple software interface. Software as a Service because SaaS products provide end-user services, and serverless architectures (like AWS Lambda) that let developers run their code over short periods on cloud servers. Platform as a Service products provide a simple user interface hiding the insfrastructure complexity. SaaS products provide end users with a service over a public network. For example, Gmail and Google drive are examples of SaaS products. A user doesn’t know on what infrastructure the software or the service is running on and what platform it was built. The user just loggs in and start using the service. For example, we use gmail that is an emailing service. We don’t know how it’s running, what infrastructure ? and what platform? We just log in and use the service. Scalibility describes about expanding the current resources or services to meet increasing demand. Compute instances are pre-configured before they are used to scale up and they are automatically added as compute resources to meet the increasing demand. Elasticity and Auto-scaling are similar concepts that is the ability to increase or decrease compute resources to match the changing demand. For example, I have an EC2 instance running on AWS. I add the EC2 instance in an Autoscaling group so that when the server process meets 70% or above, another instance of the same is created and the load is balanced between them. And when the load is below 30% on the servers, one out of the two servers will be terminated automatically to reduce the cost. This feature is called Auto-Scaling. Elasticity is the ability of an application to increase or decrease compute resources to match changing demand. Elasticity and Auto-Scaling are similar concepts.
