Which of the below-listed use cases should Local SSD be used for?
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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-vmsLocal SSDs are high-performance, physically attached storage devices that provide low latency, high input/output operations per second (IOPS), and high throughput. They are typically used to store and process large amounts of data in a short amount of time, making them ideal for applications that require high-speed data processing and temporary storage.
Out of the given use cases, the following scenarios would benefit from using Local SSDs:
A. Genome sequencing: Genome sequencing involves processing large amounts of genomic data in real-time, and Local SSDs can provide the necessary storage and performance for this task. The data is processed in chunks and requires low latency storage, making Local SSDs a good fit for this use case.
B. Media rendering: Media rendering involves processing high-resolution images and videos, and requires high input/output operations per second (IOPS) and high throughput. Local SSDs can provide the necessary performance for this task, allowing for fast rendering times and a smooth user experience.
D. Use as cache: Caching involves storing frequently accessed data in memory to improve system performance. Local SSDs are ideal for this use case because they can provide fast access to frequently accessed data, improving system performance and reducing latency.
E. Batch Jobs: Batch jobs involve processing large amounts of data in batches. Local SSDs can provide the necessary storage and performance for this task, allowing for fast processing times and efficient use of resources.
C. Data archiving: Data archiving involves storing data for long-term retention, typically on slower, lower-cost storage devices. Local SSDs are not ideal for this use case, as they are designed for high-performance, temporary storage rather than long-term retention.
In conclusion, Local SSDs are ideal for use cases that require high-performance, temporary storage and processing of large amounts of data. These include genome sequencing, media rendering, use as cache, and batch jobs. They are not recommended for data archiving, which requires long-term retention on slower, lower-cost storage devices.