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AWS Certified Solutions Architect Associate SAA-C03 Practice Question

A company needs to run data analytics workloads which require high sequential read and write access to very large datasets stored locally in instance storage. Which Amazon EC2 instance type should they choose?

Compute Optimized instances.
Memory Optimized instances.
Storage Optimized instances.
Accelerated Computing instances.

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Storage Optimized instances such as I3, I4i and D2 families are ideal for workloads that require high, sequential read and write access to large datasets in local instance storage. They provide low-latency, high-throughput access to massive amounts of data, making them suitable for applications like data warehousing and Hadoop distributed computing workloads. Compute Optimized instances are designed for compute-intensive workloads that benefit from high-performance processors, but they do not focus on enhanced storage performance. Memory Optimized instances are best for workloads that require large amounts of memory, offering high memory-to-CPU ratios, which is beneficial for real-time big data analytics and in-memory databases. Accelerated Computing instances use hardware accelerators, such as GPUs or FPGAs, to perform functions like graphics processing or parallel computations more efficiently, but they are not specifically optimized for high-performance local storage access.

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