Learn how Amazon RDS and Amazon Aurora are the best AWS services to host relational databases with predefined schemas. Understand their features and use cases to ace your AWS Certified Cloud Practitioner CLF-C02 exam.
Question
A company wants to host its relational databases on AWS. The databases have predefined schemas that the company needs to replicate in AWS. Which AWS services could the company use for the databases? (Select TWO.)
A. Amazon Aurora
B. Amazon RDS
C. Amazon DocumentDB (with MongoDB compatibility)
D. Amazon Neptune
E. Amazon DynamoDB
Answer
A. Amazon Aurora
B. Amazon RDS
Explanation
Amazon Aurora and Amazon RDS are AWS services that offer solutions for hosting relational databases with predefined schemas, providing the ability to replicate, scale, and manage these databases efficiently.
Why Amazon Aurora?
Amazon Aurora is a high-performance, cloud-optimized relational database service that is compatible with MySQL and PostgreSQL. It is ideal for applications requiring scalability, high availability, and low latency while maintaining compatibility with existing database engines.
Key features:
- Predefined Schema Support: Fully supports relational databases with predefined schemas, making it suitable for enterprise applications like ERP and CRM.
- High Performance: Delivers up to 5x the throughput of standard MySQL databases and 3x that of PostgreSQL.
- Scalability: Automatically scales storage up to 128 TB without manual intervention.
- High Availability: Provides fault tolerance with replication across multiple Availability Zones (AZs).
Use Cases:
- Enterprise-grade applications that require high performance.
- Applications migrating from commercial databases like Oracle or SQL Server.
Why Amazon RDS?
Amazon Relational Database Service (RDS) is a fully managed service that simplifies the setup, operation, and scaling of relational databases in the cloud. It supports multiple database engines such as MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB.
Key features:
- Predefined Schema Support: Ideal for hosting relational databases with predefined schemas.
- Ease of Management: Automates database administration tasks like backups, patching, and scaling.
- Multi-Engine Support: Offers flexibility to choose among popular database engines.
- High Availability: Supports Multi-AZ deployments for failover protection.
Use Cases:
- Applications requiring a managed database solution without the need for extensive customization.
- Scenarios where businesses want to replicate existing schemas on AWS without significant changes.
Incorrect Options
C. Amazon DocumentDB (with MongoDB compatibility): Designed for document-based NoSQL databases, not relational databases with predefined schemas.
D. Amazon Neptune: Purpose-built for graph database workloads, unsuitable for relational data.
E. Amazon DynamoDB: A NoSQL key-value store designed for unstructured data, not relational schemas.
For hosting relational databases with predefined schemas on AWS, Amazon Aurora and Amazon RDS are the optimal choices due to their robust support for structured data, scalability, and ease of management. These services align perfectly with the requirements of relational database workloads while ensuring high performance and reliability.
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