Learn why Amazon RDS with MySQL is the best choice for automating database management tasks such as backups and patching. Perfect for AWS Certified Cloud Practitioner CLF-C02 exam preparation.
Table of Contents
Question
An IT team is managing clusters of MySQL database servers. The team has to patch the database and take backup snapshots of the data in the clusters. The company wants to move this workload to AWS so that these tasks are completed automatically. What should the company do to meet these requirements?
A. Deploy MySQL database server clusters on Amazon EC2 instances
B. Use Amazon RDS with a MySQL database
C. Use an AWS CloudFormation template to deploy MySQL database servers on Amazon EC2 instances
D. Migrate all MySQL database data to Amazon S3
Answer
B. Use Amazon RDS with a MySQL database
Explanation
Using Amazon RDS with a MySQL database enables automating tasks such as patching and backups.
Amazon Relational Database Service (RDS) is a fully managed database service that simplifies the setup, operation, and scaling of relational databases in the cloud. Here’s why Amazon RDS with MySQL is the ideal solution for this scenario:
Automated Patching and Maintenance
Amazon RDS automatically handles software patching for the database engine, ensuring that your MySQL database remains up-to-date with minimal effort from your team.
Automated Backups
RDS provides automated backups, enabling point-in-time recovery. This ensures that your data is secure and can be restored quickly in case of failure.
Ease of Management
Unlike deploying MySQL on Amazon EC2 instances (Option A or C), RDS eliminates the need to manage servers, storage, and other infrastructure components manually. This reduces operational overhead.
Scalability and High Availability
With features like Multi-AZ deployments and read replicas, RDS ensures high availability and scalability for your MySQL workloads without requiring custom configurations.
Security Features
RDS integrates with AWS Identity and Access Management (IAM) and supports encryption at rest and in transit, providing robust security measures.
Why Other Options Are Incorrect
A. Deploy MySQL database server clusters on Amazon EC2 instances: While EC2 offers flexibility, it requires manual management of backups, patching, and scaling, which contradicts the requirement for automation.
C. Use an AWS CloudFormation template to deploy MySQL database servers on Amazon EC2 instances: CloudFormation can automate deployment but does not address ongoing maintenance tasks like patching or backups.
D. Migrate all MySQL database data to Amazon S3: S3 is a storage service optimized for object storage rather than relational databases. It does not support SQL queries or relational database features.
Key Takeaways for CLF-C02 Exam
- Amazon RDS is the go-to service for managed relational databases.
- It automates routine tasks such as backups, patching, monitoring, and scaling.
- Always compare managed services (like RDS) against self-managed options (like EC2) when automation and reduced operational overhead are priorities.
By choosing Amazon RDS with MySQL, the company can focus on application development while AWS handles the undifferentiated heavy lifting of database management.
Amazon AWS Certified Cloud Practitioner CLF-C02 certification exam practice question and answer (Q&A) dump with detail explanation and reference available free, helpful to pass the Amazon AWS Certified Cloud Practitioner CLF-C02 exam and earn Amazon AWS Certified Cloud Practitioner CLF-C02 certification.