Question: Why is Cloud Bigtable great for IoT and user analytics?
- Because Cloud Bigtable is a high-performance NoSQL database service for large analytical and operational workloads.
- Because Cloud Bigtable lowers warehousing costs and augments existing warehouses.
- Because Cloud Bigtable scales up to handle massive computing loads quickly and efficiently.
- Because Cloud Bigtable is a fully managed database service that makes it easy to set up, maintain, manage, and administer relational MySQL and PostgreSQL databases in the cloud.
Explanation
Cloud Bigtable is designed for large analytical and operational workloads that need high throughput and low latency. IoT and user analytics often generate large volumes of event, sensor, and interaction data. Cloud Bigtable supports heavy read and write patterns for this type of time-series and event-driven data. Its NoSQL wide-column model fits workloads that need scale more than relational transaction processing.
Why the other options are incorrect
Lower warehousing costs describes data warehouse optimization, not the primary role of Cloud Bigtable.
Massive computing loads describes scalable compute services, not a managed NoSQL database.
Relational MySQL and PostgreSQL describes Cloud SQL, not Cloud Bigtable.
Source for verification
https://docs.cloud.google.com/bigtable/docs/overview
https://docs.cloud.google.com/bigtable/docs/performance
The answer(s) to the question is highlighted in the BOLD text above. You can also find more questions and answers related to the exams on the "Google Cloud Platform Business Professional" page.