Local SSD Use Cases for Cloud Digital Leader Exam - Google

Use Cases for Local SSD

Question

Which of the below-listed use cases should Local SSD be used for?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D. E.

Correct Answers: B and D.

Option A is Incorrect.

Since Genome sequencing requires performing analysis and needs speed, scalabiity and security, filestore is most apt.

Option B is Correct.

Local SSD is appropriate to be used for Media rendering.

Option C is Incorrect.

Cold storage is most optimal for data archiving.

Option D is Correct.

Local SSD is the most optimal choice for being used as a cache as it provides high IOPS and very low latency.

Option E is Incorrect.

Preemptible VMs are appropriate for batch jobs.

https://cloud.google.com/filestore https://cloud.google.com/storage/archival https://cloud.google.com/local-ssd https://cloud.google.com/preemptible-vms

Local SSD (Solid State Drive) is a high-performance storage device that is physically attached to the computer or server's motherboard. It is ideal for applications that require high-performance storage with low latency and high input/output (I/O) operations per second (IOPS).

Out of the given use cases, Local SSD should be used for the following:

A. Genome sequencing: Genome sequencing requires high-speed storage that can handle large data sets with random access. Local SSDs can provide the required storage performance and capacity to handle genome sequencing applications.

B. Media rendering: Media rendering involves processing and rendering large multimedia files such as videos, animations, and images. Local SSDs can provide the necessary storage performance to accelerate media rendering applications.

D. Use as cache: Caching is a technique used to improve application performance by storing frequently used data in a fast-access storage device. Local SSDs can be used as a cache to improve the performance of applications that rely heavily on data access.

E. Batch Jobs: Batch jobs are repetitive tasks that can be executed in parallel to save time. These jobs often require large amounts of data processing and storage. Local SSDs can provide the necessary storage performance to handle the data-intensive processing required by batch jobs.

C. Data archiving: Data archiving involves storing data for long periods of time, usually for regulatory compliance purposes. Local SSDs are not ideal for data archiving because they have limited storage capacity and are expensive compared to other storage options like object storage or tape storage.

In summary, Local SSDs are suitable for applications that require high-speed storage with low latency and high IOPS, such as genome sequencing, media rendering, caching, and batch jobs. However, they are not ideal for data archiving, which requires low-cost, high-capacity storage solutions.