A biomedical research facility processes and stores genomic data in a single Google Cloud region (). The organization generates of raw genomic sequencing files (FASTQ format) annually alongside structured variant analysis records. The raw sequencing files are accessed heavily during the first 30 days of initial pipeline analysis, queried infrequently between 30 and 365 days, and must be retained for 7 years to satisfy regulatory compliance. The structured variant analysis dataset requires traditional ACID-compliant relational transactions, operates entirely within the single region, and experiences a peak load of 1,500 queries per second. You need to design an infrastructure architecture that minimizes ongoing operational and storage costs while meeting all performance, transactional consistency, and compliance mandates. Which TWO architectural decisions should you recommend?
- Configure Cloud Storage Object Lifecycle Management rules on the raw sequencing data bucket to transition objects to Coldline Storage after 30 days and to Archive Storage after 365 days.Cevap
- Provision Cloud SQL for PostgreSQL configured with High Availability (regional failover) to manage the structured variant analysis data.Cevap
- CDeploy a multi-region Cloud Spanner instance to store structured variant analysis records to guarantee zero-downtime maintenance windows and horizontal scaling.
- DOrder a Google Cloud Transfer Appliance to perform ongoing daily batch ingestion of raw sequencing files from regional sequencing hardware into Cloud Storage.