Q102 — AWS SAA-C03 Ch.4

Question 102 of 105 | ← Chapter 4

Q297. A company has an application that collects data from IoT sensors on automobiles. The data is streamed and stored in Amazon S3 through Amazon Kinesis Date Firehose. The data produces trillions of S3 objects each year. Each morning, the company uses the data from the previous 30 days to retrain a suite of machine learning (ML) modelsFour times each year, the company uses the data from the previous 12 months to perform analysis and train other ML models. The data must be available with minimal delay for up to 1year. After 1 year, the data must be retained for archival purposes.Which storage solution meets these requirements MOST cost-effectively?

Correct Answer: D. Use the S3 Standard storage class. Create an S3 Lifecycle policy to transition objects to S3 Standard- Infrequent Access (S3 Standard-IA) after 30 days, and then to S3 Glacier Deep Archive after 1 year

Explanation

Each morning, the business retrains a set of machine learning (ML) models using data from the preceding 30 days. - Frequent access for 30 days from the date Data got uploaded to S3.Four times a year, the corporation analyzes and trains other machine learning models using data from the preceding 12 months - IA access.The data must be accessible with a minimum of delay for a period of up to one year. Data must be preserved for archive reasons after one year. -Archival.- First 30 days- data access every morning ( predictable and frequently) ?S3 standard- After 30 days, accessed 4 times a year ?S3 infrequently access- Data preserved- S3 Gllacier Deep ArchiveNot B because S3 Intelligent-Tiering is suitable when access patterns change - https://aws.amazon.com/s3/ storage-classes/intelligent-tiering/