SAA-C03 Question #502: Real Exam Question with Answer & Explanation

Question

An online food delivery company wants to optimize its storage costs. The company has been collecting operational data for the last 10 years in a data lake that was built on Amazon S3 by using a Standard storage class. The company does not keep data that is older than 7 years. A solutions architect frequently uses data from the past 6 months for reporting and runs queries on data from the last 2 years about once a month. Data that is more than 2 years old is rarely accessed and is only used for audit purposes. Which combination of solutions will optimize the company's storage costs? (Select TWO.)

Options

• ACreate an S3 Lifecycle configuration rule to transition data that is older than 6 months to the S3
• BCreate an S3 Lifecycle configuration rule to transition data that is older than 6 months to the S3
• CUse the S3 Intelligent-Tiering storage class to store data instead of the S3 Standard storage
• DCreate an S3 Lifecycle expiration rule to delete data that is older than 7 years.
• ECreate an S3 Lifecycle configuration rule to transition data that is older than 7 years to the S3

Explanation

To optimize costs for long-term data storage, AWS recommends using S3 Lifecycle policies to automate transitions across storage classes and ultimately expire old data. S3 Standard-IA is suited for data that is accessed less frequently but requires millisecond retrieval times. It is ideal for 6-month-old data still used in monthly reports. S3 Glacier Deep Archive is the lowest-cost option, designed for data accessed once or twice a year, such as regulatory audits - perfect for 2+ year-old data. Lifecycle expiration rules allow S3 to automatically delete objects older than 7 years, aligning with the business retention policy. These transitions are cost-effective and fully automated, aligning with the Cost Optimization pillar in the AWS Well-Architected Framework.

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