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Answer: Migrate the MySQL database to Amazon RDS with Multi-AZ deployment and use ElastiCache for Redis to manage session states and cache reads, while scaling the web server with an Auto Scaling group across three Availability Zones.
Option A is the correct answer. It suggests migrating the MySQL database to Amazon RDS for MySQL with a Multi-AZ DB cluster deployment, which ensures high availability and fault tolerance. Additionally, using Amazon ElastiCache for Redis with high availability enhances performance by storing session data and caching reads, which is crucial for handling sudden increases in application traffic. Finally, migrating the web server to an Auto Scaling group across three Availability Zones ensures that the application can scale dynamically to meet demand and maintain high availability.
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A company's three-tier web application in AWS spans three Availability Zones, featuring an Application Load Balancer, an EC2-based web server for session states, and an EC2-hosted MySQL database. To address expected traffic surges and ensure scalable high availability, which solution is appropriate?
A
Migrate the MySQL database to Amazon RDS with Multi-AZ deployment and use ElastiCache for Redis to manage session states and cache reads, while scaling the web server with an Auto Scaling group across three Availability Zones.
B
Migrate the MySQL database to Amazon RDS with Multi-AZ deployment and use ElastiCache for Memcached for session management and read caching, scaling the web server with an Auto Scaling group across three Availability Zones.
C
Switch the MySQL database to Amazon DynamoDB, employ DAX for read caching, store sessions in DynamoDB, and scale the web server with an Auto Scaling group across three Availability Zones.
D
Relocate the MySQL database to a single-zone Amazon RDS, use ElastiCache for Redis for session and read caching, and scale the web server with an Auto Scaling group across three Availability Zones.
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