Practice Test 1 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
A company specializes in monitoring and distributing data about road traffic for more than 60 cities. Data is used by navigation apps to notify users of traffic congestion on their destination routes and alert them of road accidents. There are thousands of queries running to write new events and read events for analysis and get the latest stats on road traffic.
Which of the following is the best option for this scenario?
A. Cloud Spanner
B. BigQuery
C. Datastore
D. BigTable
Answer: D.
Cloud BigTable is a petabyte-scale, fully managed NoSQL database service for large analytical and operational workloads. Under a typical workload, Cloud BigTable delivers highly predictable performance. When everything is running smoothly, a typical workload can achieve the following performance for each node in the Cloud Bigtable cluster, depending on which type of storage the cluster uses:
In general, a cluster’s performance increases linearly as you add nodes to the cluster. For example, if you create an SSD cluster with 10 nodes, the cluster can support up to 100,000 rows per second for a typical read-only or write-only workload, with 6 ms latency for each read or write operation.
Answer A is incorrect: Cloud Spanner does not guarantee the same performance and low latency as BigTable.
Answer B is incorrect: While BigQuery is a potential choice, BigQuery doesn’t provide high throughput and low latency as powerful as BigTable.
Answer C is incorrect: Datastore can be a potential choice since it’s a NoSQL database. The issue is, Datastore is not built for storing and reading huge data volumes as in this scenario. Datastore is deisgned for web applications of small scale.
Source(s):
Understanding BigTable Performance: https://cloud.google.com/bigtable/docs/performance
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