CompTIA Cloud+ (CV0-004)DeploymentMedium
A cloud engineer is designing a new storage solution for an application that processes large volumes of sequential data for analytics. The data needs to be highly durable and accessible, but the application does not require extremely low-latency random I/O. Cost-effectiveness for large datasets is a significant concern. Which storage type is the most appropriate choice?
- ABlock storage with high IOPS.
- BEphemeral storage.
- CFile storage with NFS access.
- DObject storage with tiering.
Show answer & explanationAnswer & explanation
Correct answer: D. Object storage with tiering.
Object storage is highly durable, scalable, and cost-effective for large volumes of unstructured data, including sequential data for analytics. Its ability to integrate with tiering (e.g., moving older data to colder storage classes) further optimizes costs, and it does not require extremely low-latency random I/O, which aligns with the scenario.
Why the other options are wrong
- A. Block storage with high IOPS is expensive and primarily for low-latency random access, not ideal for cost-effective sequential data analytics.
- B. Ephemeral storage is temporary and not suitable for persistent, large volumes of analytical data.
- C. File storage is good for shared access and hierarchical data but can be less cost-effective and scalable than object storage for massive, unstructured analytical datasets.
Cloud Storage Tiering
The practice of moving data between different storage classes (tiers) based on access frequency, performance needs, and cost considerations.
- Optimizes storage costs.
- Balances performance and cost.
- Commonly used with object storage (e.g., standard, infrequent access, archive).
Memory trick: Optimize Storage Costs with Tiered Objects.