Practice Test 2 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
Your company hosts a gaming app which reaches over 30,000 players in a single minute. The app generates event data including information about players state, score, location coordinates and other stats. You need to find a storage solution which can support high read/write throughput with very low latency which doesn’t exceed 10 milliseconds to ensure a quality performance experience for the players.
Which of the following is the best option for this scenario?
A. Cloud Spanner
B. BigQuery
C. BigTable
D. Datastore
Answer: C.
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 D 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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