AWS (Amazon Web Services) Certification Practice Exam

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Dive into the AWS Certification Exam with our comprehensive quiz. Challenge yourself with multiple-choice questions designed to mimic the exam format. Each question includes detailed explanations to boost your understanding and help you ace your AWS Certification!

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Which of the following instances would you choose for small to medium-sized databases?

  1. General Purpose Instances

  2. Micro Instances

  3. GPU Optimized Instances

  4. Compute Optimized Instances

The correct answer is: General Purpose Instances

Choosing General Purpose Instances for small to medium-sized databases is a sound decision due to their balanced resource allocation. These instances provide a mix of compute, memory, and networking resources, making them versatile for various workloads, including database applications. They are well-suited for operations where both compute and memory capacity are important, allowing for effective processing of queries and handling of data retrieval tasks without over-committing on resources. General Purpose Instances, such as those in the T3 or M5 series, also offer the flexibility to scale based on workload demands, which is beneficial for databases that may grow in size or require varying levels of performance at different times. Additionally, their pricing structure is often more cost-effective for moderate workloads compared to specialized instances that may not fully utilize their capabilities for smaller, simpler database environments. The other instance types have specific design goals that may not align well with typical small to medium database requirements. For instance, Micro Instances are quite limited in resources, making them less suitable for applications where performance might be critical. GPU Optimized Instances are tailored for graphics and computation-heavy operations, not ideal for database tasks. Compute Optimized Instances may deliver high processing power but at the expense of memory, which could lead to performance bottlenecks in database