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Zorluk: KolayCost-Optimized Compute Selection and Purchasing Strategies

A company is planning to deploy a new web application on AWS. The application will consist of a steady-state web server hosted on Amazon EC2 that must run continuously 24/7, and an Amazon RDS for MySQL database. The workload is highly predictable. Which combination of purchasing options should the company select to minimize compute costs for these resources most effectively? (Select TWO.)

  1. Purchase an Amazon EC2 Instance Savings Plan for the EC2 web serverCevap
  2. Purchase Amazon RDS Reserved DB Instances for the MySQL databaseCevap
  3. C
    Purchase a Compute Savings Plan to cover both the EC2 web server and the Amazon RDS database
  4. D
    Migrate the database sync processes to run on AWS Lambda functions to eliminate idle instance costs
  5. E
    Migrate the database to Amazon DynamoDB using Provisioned Capacity Mode to support unpredictable traffic

Cevap

Purchase an Amazon EC2 Instance Savings Plan for the EC2 web server, and purchase Amazon RDS Reserved DB Instances for the MySQL database.
To minimize compute costs for a predictable, 24/7 web server, purchasing an Amazon EC2 Instance Savings Plan is the most cost-effective option. To minimize database costs for Amazon RDS, purchasing Amazon RDS Reserved DB Instances is the correct approach, as RDS is not covered by Compute Savings Plans.

Adım Adım Çözüm

1
Analyze the web server requirement.
The web server runs 24/7 with predictable, steady-state usage, making it an ideal candidate for an EC2 Instance Savings Plan.
This strategy locks in lower rates for predictable EC2 workloads.
2
Analyze the database tier cost optimization.
The database uses Amazon RDS for MySQL. Purchasing RDS Reserved DB Instances is the correct method to lower steady-state database costs.
RDS does not benefit from Compute Savings Plans, so database-specific reservations are required.

Anahtar Kavram

Selecting cost-effective compute purchasing options based on resource types and predictability
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