SAA-C03 · Question #308
A company is migrating a data processing application to AWS. The application processes several short-lived batch jobs that cannot be disrupted. The process generates data after each batch job…
The correct answer is D. Use Amazon EC2 On-Demand Instances to run the application. Store the data in Amazon S3. Amazon EC2 On-Demand Instances: Since the batch jobs cannot be disrupted, On-Demand Instances provide the necessary reliability and availability. Amazon S3 Standard: Storing data in S3 Standard for the first 30 days ensures quick and frequent access. S3 Glacier Deep Archive…
Question
A company is migrating a data processing application to AWS. The application processes several short-lived batch jobs that cannot be disrupted. The process generates data after each batch job finishes running. The company accesses the data for 30 days following data generation. After 30 days, the company stores the data for 2 years. The company wants to optimize costs for the application and data storage. Which solution will meet these requirements?
Options
- AUse Amazon EC2 Spot Instances to run the application. Store the data in Amazon S3 Standard.
- BUse Amazon EC2 On-Demand Instances to run the application. Store the data in Amazon S3
- CUse Amazon EC2 Spot Instances to run the application. Store the data in Amazon S3 Standard.
- DUse Amazon EC2 On-Demand Instances to run the application. Store the data in Amazon S3
How the community answered
(25 responses)- A8% (2)
- B4% (1)
- C4% (1)
- D84% (21)
Explanation
Amazon EC2 On-Demand Instances: Since the batch jobs cannot be disrupted, On-Demand Instances provide the necessary reliability and availability. Amazon S3 Standard: Storing data in S3 Standard for the first 30 days ensures quick and frequent access. S3 Glacier Deep Archive: After 30 days, moving data to S3 Glacier Deep Archive significantly reduces storage costs for data that is rarely accessed. S3 Lifecycle Configuration: Automating the transition and deletion of objects using lifecycle policies ensures cost optimization and compliance with data retention requirements.
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