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Question 830 - SAA-C03 discussion

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A company is developing a new application that uses a relational database to store user data and application configurations. The company expects the application to have steady user growth. The company expects the database usage to be variable and read-heavy, with occasional writes.

The company wants to cost-optimize the database solution. The company wants to use an AWS managed database solution that will provide the necessary performance.

Which solution will meet these requirements MOST cost-effectively?

A.
Deploy the database on Amazon RDS. Use Provisioned IOPS SSD storage to ensure consistent performance for read and write operations.
Answers
A.
Deploy the database on Amazon RDS. Use Provisioned IOPS SSD storage to ensure consistent performance for read and write operations.
B.
Deploy the database on Amazon Aurora Serveriess to automatically scale the database capacity based on actual usage to accommodate the workload.
Answers
B.
Deploy the database on Amazon Aurora Serveriess to automatically scale the database capacity based on actual usage to accommodate the workload.
C.
Deploy the database on Amazon DynamoDB. Use on-demand capacity mode to automatically scale throughput to accommodate the workload.
Answers
C.
Deploy the database on Amazon DynamoDB. Use on-demand capacity mode to automatically scale throughput to accommodate the workload.
D.
Deploy the database on Amazon RDS Use magnetic storage and use read replicas to accommodate the workload
Answers
D.
Deploy the database on Amazon RDS Use magnetic storage and use read replicas to accommodate the workload
Suggested answer: B

Explanation:

Amazon Aurora Serverless is a cost-effective, on-demand, autoscaling configuration for Amazon Aurora. It automatically adjusts the database's capacity based on the current demand, which is ideal for workloads with variable and unpredictable usage patterns. Since the application is expected to be read-heavy with occasional writes and steady growth, Aurora Serverless can provide the necessary performance without requiring the management of database instances.

Cost-Optimization: Aurora Serverless only charges for the database capacity you use, making it a more cost-effective solution compared to always running provisioned database instances, especially for workloads with fluctuating demand.

Scalability: It automatically scales database capacity up or down based on actual usage, ensuring that you always have the right amount of resources available.

Performance: Aurora Serverless is built on the same underlying storage as Amazon Aurora, providing high performance and availability.

Why Not Other Options?:

Option A (RDS with Provisioned IOPS SSD): While Provisioned IOPS SSD ensures consistent performance, it is generally more expensive and less flexible compared to the autoscaling nature of Aurora Serverless.

Option C (DynamoDB with On-Demand Capacity): DynamoDB is a NoSQL database and may not be the best fit for applications requiring relational database features.

Option D (RDS with Magnetic Storage and Read Replicas): Magnetic storage is outdated and generally slower. While read replicas help with read-heavy workloads, the overall performance might not be optimal, and magnetic storage doesn't provide the necessary performance.

AWS

Reference:

Amazon Aurora Serverless - Information on how Aurora Serverless works and its use cases.

Amazon Aurora Pricing - Details on the cost-effectiveness of Aurora Serverless.

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asked 16/09/2024
Tural Pashayev
28 questions
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