A global pharmaceutical enterprise plans to migrate its legacy clinical trial platform to Google Cloud. The workload comprises of static genomic sequence files stored on local Network Attached Storage (NAS) arrays and a live PostgreSQL transactional database. The organization maintains a Partner Interconnect connection, but strict QoS policies limit dedicated migration traffic to a maximum of . The business mandates that the genomic dataset must be fully ingested into Cloud Storage within , the database cutover must incur less than of service downtime, and all ingested data must be shielded against unauthorized egress and exfiltration. Which TWO architectural strategies should the lead cloud architect incorporate into the migration plan to meet these requirements?
- Order multiple Google Cloud Transfer Appliances to execute an offline bulk transfer of the genomic dataset, and establish VPC Service Controls security perimeters around the target Cloud Storage buckets.Cevap
- Use Database Migration Service (DMS) with continuous Change Data Capture (CDC) over the Partner Interconnect to replicate the on-premises PostgreSQL database to Cloud SQL for PostgreSQL prior to cutover.Cevap
- CDeploy Storage Transfer Service agents on local NAS servers to stream the genomic sequence files online over the Partner Interconnect allocation directly into Cloud Storage.
- DMigrate the live PostgreSQL database to Cloud Spanner using Cloud Storage dump files and automated schema translation to guarantee continuous multi-region availability without cutover downtime.