Practice Test 3 | Google Cloud Certified Professional Cloud Architect | Dumps | Mock Test
You want to optimize the performance of an accurate, real-time, weather-charting application. The data comes from 50,000 sensors sending 10 readings a second, in the format of a timestamp and sensor reading. Where should you store the data?
A. Google BigQuery
B. Google Cloud Storage
C. Google Cloud Bigtable
D. Google Cloud SQL
Correct Answer C
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A – Google BigQuery: A scalable, fully-managed Enterprise Data Warehouse (EDW) with SQL and fast response times. It is for analytics and OLAP workload, though it also provides storage capacity and price similar to GCS and it cannot stand for this amount (50000 X 10 per second) of data streaming ingestion in real-time.
B – Google Cloud Storage: A scalable, fully-managed, highly reliable, and cost-efficient object / blob store. It cannot stand for this amount of data streaming ingestion rate in real-time
C (Correct answer) – Google Cloud Bigtable: A scalable, fully-managed NoSQL wide-column database that is suitable for both real-time access and analytics workloads. https://cloud.google.com/storage-options/
Bigtable is Good for
· Low-latency read/write access
· High-throughput analytics
· Native time series support
For the following common work load
- IoT, finance, adtech
- Personalization, recommendations
- Monitoring
- Geospatial datasets
- Graphs
D – Google Cloud SQL: A fully-managed MySQL and PostgreSQL relational database service for Structured data and OLTP workloads. It also won’t stand for this type of high ingesting rate in real time
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