AWS Certified Foundational CLF-C02 Dumps PDF

Economies of scale are the cost advantages that result from increasing the scale of production or operation. In cloud computing, economies of scale are achieved by pooling resources and sharing them among multiple users, which reduces the unit cost of computing and storage. One of the benefits of economies of scale in cloud computing is increased speed and agility, which means the ability to deploy applications faster and respond to changing business needs more quickly. Cloud computing allows users to access computing resources on demand, without having to invest in expensive infrastructure or wait for lengthy provisioning processes. This enables users to scale up or down as needed, experiment with new ideas, and deliver value to customers faster123. References:

Economics of Cloud Computing - GeeksforGeeks

What is Cloud Economics? | VMware Glossary

ECONOMIES OF SCALE WITH CLOUD COMPUTING & SERVICES PRACTICE - IDC-Online

Amazon CloudFront and AWS Global Accelerator are two AWS services that make use of global edge locations. Edge locations are AWS sites that are deployed worldwide in major cities and places with a high population. Edge locations are used to cache data and reduce latency for end-user access1.

Amazon CloudFront is a content delivery network (CDN) service that securely delivers data, videos, applications, and APIs to customers globally with low latency and high transfer speeds. Amazon CloudFront uses a global network of over 200 edge locations and 13 regional edge caches to cache your content closer to your viewers, improving performance and reducing costs23.

AWS Global Accelerator is a networking service that improves the availability and performance of your applications with local or global users. AWS Global Accelerator uses the AWS global network to route user traffic to the optimal endpoint based on health, performance, and policies. AWS Global Accelerator uses over 100 edge locations to bring your application endpoints closer to your users, reducing networkhops and improving user experience45. References: 1: AWS for the Edge - Amazon Web Services (AWS), 2: Content Delivery Network (CDN) - Amazon CloudFront - AWS, 3: Amazon CloudFront Documentation, 4: AWS Global Accelerator - Amazon Web Services, 5: AWS Global Accelerator Documentation

Amazon CloudWatch alarm is an AWS service or feature that can initiate an Amazon EC2 Auto Scaling action based on CPU utilization. Amazon CloudWatch is a monitoring and observability service that collects and tracks metrics, logs, events, and alarms for your AWS resources and applications. Amazon CloudWatch alarms are actions that you can configure to send notifications or automatically make changes to the resources you are monitoring based on rules that you define67.

Amazon EC2 Auto Scaling is a service that helps you maintain application availability and allows you to automatically add or remove EC2 instances according to definable conditions. You can create dynamic scaling policies that track a specific CloudWatch metric, such as CPU utilization, and define what action to take when the associated CloudWatch alarm is in ALARM. When the policy is in effect, Amazon EC2 Auto Scaling adjusts the group’s desired capacity up or down when the threshold of an alarm is breached89. References: 6: Cloud Monitoring - Amazon CloudWatch - AWS, 7: Amazon CloudWatch Documentation, 8: Dynamic scaling for Amazon EC2 Auto Scaling, 9: Amazon EC2 Auto Scaling Documentation

Amazon RDS (Relational Database Service)is a managed database service that simplifies the setup, operation, and scaling of relational databases in the AWS Cloud. It supports several SQL-based databases, such as MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB, while automating common administrative tasks such as backups, patch management, and scaling. This significantly reduces the operational overhead compared to managing databases on Amazon EC2 instances, which would require manual management of the operating system, database software, backups, and maintenance.

A. Amazon EC2 instances: Incorrect, as this would involve more operational overhead, including manual management of the database server.

C. Amazon DynamoDB: Incorrect, as it is a NoSQL database service, not suitable for migrating SQL-based databases.

D. OpenSearch: Incorrect, as it is used for search and analytics workloads, not for hosting SQL-based databases.

AWS Cloud References:

Amazon RDS