Practice Test 3 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
A stock market company receives real-time updates from different stock prices in the USA. The company seeks a solution that can use stock price data for real-time analysis. The solution should allow high throughput to allow queries to run and return the required results with minimum latency. The solution should also be scaled out for more performance. Which of the following products is the best solution in this scenario?
A. BigTable
B. BigQuery
C. Datastore
D. Cloud Spanner
Correct Answer: A
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.
Option B is incorrect: BigQuery doesn’t provide the high throughput and low latency competent to Bigtable. Moreover, you are unable to increase BigQuery’s performance, opposed to Bigtable which you can add more nodes for linear performance return.
Option C is incorrect: Datastore is not built for storing and reading huge data volumes as required in this scenario. Datastore is designed for web applications of small scale.
Option D is incorrect: Cloud Spanner does not guarantee the same performance and low latency as BigTable.
Source(s):
Understanding BigTable Performance:
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