A solutions architect is automating the deployment of a managed NoSQL database service on Google Cloud to handle low-latency, high-throughput time-series writes from millions of IoT telemetry sensors. The application requires consistent sub-10ms performance and high availability. The database instance named `telemetry-db` must be deployed using the Google Cloud CLI with an initial cluster named `telemetry-c1` in the `us-central1-a` zone with 3 nodes. Which `gcloud` command correctly provisions this instance?
- gcloud bigtable instances create telemetry-db --display-name="Telemetry DB" --cluster=telemetry-c1 --cluster-zone=us-central1-a --cluster-num-nodes=3 --cluster-storage-type=SSDCevap
- Bgcloud bigtable instances create telemetry-db --display-name="Telemetry DB" --cluster=telemetry-c1 --cluster-zone=us-central1-a --cluster-num-nodes=3 --cluster-storage-type=HDD
- Cgcloud sql instances create telemetry-db --database-version=POSTGRES_15 --tier=db-custom-4-16384 --zone=us-central1-a --storage-type=SSD
- Dgcloud bigtable instances create telemetry-db --display-name="Telemetry DB" --instance-type=DEVELOPMENT --cluster=telemetry-c1 --cluster-zone=us-central1-a --cluster-storage-type=SSD
Cevap
The command 'gcloud bigtable instances create telemetry-db --display-name="Telemetry DB" --cluster=telemetry-c1 --cluster-zone=us-central1-a --cluster-num-nodes=3 --cluster-storage-type=SSD' correctly provisions a Cloud Bigtable instance with SSD storage for low-latency IoT time-series data.
The correct command uses `gcloud bigtable instances create` with `--cluster-storage-type=SSD` and 3 cluster nodes in the specified zone. Cloud Bigtable is the optimal GCP managed database service for massive NoSQL time-series ingestion, and SSD storage ensures low-latency performance required by the SLA.
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Anahtar Kavram
Provisioning Cloud Bigtable Instances with gcloud CLI