A biotechnology firm is deploying two new workloads on Amazon EC2:
1. A genomic sequencing data pipeline that processes large batches of data. The application is designed to be fault-tolerant, can pause and resume without data loss, and has a flexible completion window.
2. A database hosting experiment logs that must run continuously 24/7 with a highly predictable, steady-state CPU utilization for a project planned to last three years.
Which combination of Amazon EC2 pricing models will provide the most cost-effective solution for these workloads? (Select TWO.)
- Spot Instances for the genomic sequencing data pipelineCevap
- Reserved Instances for the database workloadCevap
- COn-Demand Instances for the database workload
- DSpot Instances for the database workload
- EDedicated Hosts for the genomic sequencing data pipeline
Cevap
Spot Instances for the genomic sequencing data pipeline and Reserved Instances for the database workload
For the genomic sequencing pipeline, Spot Instances are the most cost-effective choice because the application is fault-tolerant and has flexible timing, allowing it to leverage AWS spare capacity at a steep discount. For the experiment log database, Reserved Instances are the most cost-effective choice because the workload runs continuously 24/7 for a predictable three-year duration, allowing the company to commit to a specific configuration in exchange for a significant discount.
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Anahtar Kavram
AWS EC2 pricing models selection based on workload characteristics (steady-state vs. fault-tolerant/batch).
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