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Question 288 - DBS-C01 discussion

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A company has a web application that uses Amazon API Gateway to route HTTPS requests to AWS Lambda functions. The application uses an Amazon Aurora MySQL database for its data storage. The application has experienced unpredictable surges in traffic that overwhelm the database with too many connection requests. The company needs to implement a scalable solution that is more resilient to database failures as quickly as possible.

Which solution will meet these requirements MOST cost-effectively?

A.
Migrate the Aurora MySQL database to Amazon Aurora Serverless by restoring a snapshot. Change the endpoint in the Lambda functions to use the new database.
Answers
A.
Migrate the Aurora MySQL database to Amazon Aurora Serverless by restoring a snapshot. Change the endpoint in the Lambda functions to use the new database.
B.
Migrate the Aurora MySQL database to Amazon DynamoDB tables by using AWS Database Migration Service (AWS DMS). Change the endpoint in the Lambda functions to use the new database.
Answers
B.
Migrate the Aurora MySQL database to Amazon DynamoDB tables by using AWS Database Migration Service (AWS DMS). Change the endpoint in the Lambda functions to use the new database.
C.
Create an Amazon EventBridge rule that invokes a Lambda function. Code the function to iterate over all existing connections and to call MySQL queries to end any connections in the sleep state.
Answers
C.
Create an Amazon EventBridge rule that invokes a Lambda function. Code the function to iterate over all existing connections and to call MySQL queries to end any connections in the sleep state.
D.
Increase the instance class for the Aurora database with more memory. Set a larger value for the max_connections parameter.
Answers
D.
Increase the instance class for the Aurora database with more memory. Set a larger value for the max_connections parameter.
Suggested answer: A

Explanation:

Explanation from Amazon documents:Amazon Aurora Serverless is an on-demand, auto-scaling configuration for Amazon Aurora MySQL that automatically starts up, shuts down, and scales capacity up or down based on your application's needs. Aurora Serverless is ideal for applications with unpredictable or intermittent traffic patterns that experience sudden spikes or drops in demand. Aurora Serverless also provides high availability and durability by replicating your data across multiple Availability Zones and continuously backing up your data to Amazon S3.Migrating the Aurora MySQL database to Amazon Aurora Serverless by restoring a snapshot will meet the requirements of implementing a scalable solution that is more resilient to database failures as quickly as possible. This solution will allow the company to benefit from the auto-scaling and high availability features of Aurora Serverless, which will handle the unpredictable surges in traffic and prevent connection issues. This solution will also be cost-effective, as the company will only pay for the database capacity that they use. The migration process will be simple and fast, as the company can use the AWS Management Console, the AWS CLI, or the RDS API to restore a snapshot of their existing Aurora MySQL database to an Aurora Serverless DB cluster, and then change the endpoint in the Lambda functions to use the new database.Therefore, option A is the correct solution to meet the requirements. Option B is not cost-effective because migrating the Aurora MySQL database to Amazon DynamoDB tables by using AWS DMS will incur additional time and cost, and may require significant code changes to adapt to a different data model and query language. Option C is not scalable because creating an EventBridge rule that invokes a Lambda function to end any connections in the sleep state will not address the root cause of the connection issues, which is the lack of database capacity to handle the traffic spikes. Option D is not scalable because increasing the instance class for the Aurora database with more memory and setting a larger value for the max_connections parameter will not provide auto-scaling or high availability, and may still result in connection issues if the traffic exceeds the provisioned capacity.

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asked 16/09/2024
William Kerr
38 questions
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