Practice Test 3 | Google Cloud Certified Professional Data Engineer | Dumps | Mock Test
You receive payment transaction logs from e-wallet apps. Transaction logs have a dynamic structure which differs from the e-wallet apps received from. Logs are required to be stored for further security analysis. Transaction logs are critical and it is expected from data storage to have high performance in order to query the required security metrics to be updated in near-real time. Which of the following approaches should you use?
A. Use BigTable as a database with HDD storage to store system logs.
B. Use BigTable as a database with SSD storage to store system logs.
C. Use Datastore as a database to store system logs.
D. Use Firebase as a database to store system logs.
Correct Answer: B
When you create a Cloud Bigtable instance, you choose whether its clusters store data on solid-state drives (SSD) or hard disk drives (HDD):
SSD is significantly faster and has more predictable performance than HDD.
HDD throughput is much more limited than SSD throughput. In a cluster that uses HDD storage, it’s easy to reach the maximum throughput before CPU usage reaches 100%. To increase throughput, you must add more nodes, but the cost of the additional nodes can easily exceed your savings from using HDD storage. SSD storage does not have this limitation because it offers much more throughput per node.
Individual row reads on HDD are very slow. Because of disk seek time, HDD storage supports only 5% of the read rows per second of SSD storage.
The cost savings from HDD are minimal, relative to the cost of the nodes in your Cloud Bigtable cluster, unless you’re storing very large amounts of data.
Source(s):
Choosing Between SSD and HDD Storage:
https://cloud.google.com/bigtable/docs/choosing-ssd-hdd
Querying Cloud Bigtable Data:
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