Which set of steps should the solutions architect take?

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A company has an application that sells tickets online and experiences bursts of demand every 7 days.The application has a stateless presentation layer running on Amazon EC2, an Oracle database to store unstructured data catalog information, and a backend API layer.The front-end layer uses an Elastic Load Balancer to distribute the load across nine On-Demand instances over three Availability Zones (AZs).The Oracle database is running on a single EC2 instance.The company is experiencing performance issues when running more than two concurrent campaigns.A solutions architect must design a solution that meets the following requirements:✑ Address scalability issues.✑ Increase the level of concurrency.✑ Eliminate licensing costs.✑ Improve reliability.

Which set of steps should the solutions architect take?

Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the Oracle database into a single Amazon RDS reserved DB instance.

Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Create two additional copies of the database instance, then distribute the databases in separate AZs.

Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the tables in the Oracle database into Amazon DynamoDB tables.

Convert the On-Demand Instances into Spot instances to reduce costs for the front end. Convert the tables in the Oracle database into Amazon DynamoDB tables.

Explanations:

While creating an Auto Scaling group for the front end improves scalability, converting the Oracle database into a single Amazon RDS reserved instance does not eliminate licensing costs or significantly enhance reliability. It still incurs licensing fees and does not address concurrency limitations.

Creating an Auto Scaling group for the front end is beneficial, but simply creating additional copies of the Oracle database instance does not eliminate licensing costs and can complicate data management. Moreover, it doesn’t fully address the need for increased concurrency or reliability.

This option addresses scalability by creating an Auto Scaling group for the front end, and using a combination of On-Demand and Spot Instances reduces costs. Migrating from Oracle to Amazon DynamoDB eliminates licensing costs and improves reliability and concurrency due to DynamoDB’s managed, highly available, and scalable nature.

Converting On-Demand Instances to Spot Instances may reduce costs but does not address scalability and reliability effectively. While moving to Amazon DynamoDB eliminates licensing costs, it does not provide a full solution for the scalability and concurrency issues faced by the application.

2026-03-19

2 Comments

  1. Peter
    Author

    I weigh that the answer is:
    Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the tables in the Oracle database into Amazon DynamoDB tables.

  2. Teresa
    Author

    I value that the answer is:
    Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the tables in the Oracle database into Amazon DynamoDB tables.

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