Which circumstance exemplifies where an EC2 instance could be effectively replaced with an AWS Lambda function?

Which circumstance exemplifies where an EC2 instance could be effectively replaced with an AWS Lambda function?

• A. Processing large files stored in S3
• B. Handling API calls when a DynamoDB table is updated
• C. Serving a static website
• D. Virtual machine monitoring

Answer: (B)

When considering the effectiveness of using an AWS Lambda function instead of an EC2 instance, option B presents a clear and suitable case. AWS Lambda is designed for event-driven architectures, which means it excels in scenarios where functions are triggered by specific events. In the example of handling API calls when a DynamoDB table is updated, Lambda functions can be set up to automatically trigger in response to changes in the DynamoDB table. This fits perfectly with Lambda's use case as it provides a serverless way to respond to events without the need for provisioning and managing infrastructure, leading to simplified architecture and potentially lower costs due to its pay-per-use pricing model. Moreover, Lambda can scale automatically to handle varying loads, making it highly efficient for processing updates in a database and increasing responsiveness for API calls without reservation for underutilized resources. This aligns with the serverless principles of reducing operational overhead and focusing on core business logic. In contrast, the other options either require sustained compute resources, involve serving persistent content, or may not benefit significantly from the serverless architecture provided by Lambda. For instance, processing large files stored in S3 might require a long-running task that is better suited to an EC2 instance, and serving a static website is effectively handled by

When considering the effectiveness of using an AWS Lambda function instead of an EC2 instance, option B presents a clear and suitable case. AWS Lambda is designed for event-driven architectures, which means it excels in scenarios where functions are triggered by specific events.

In the example of handling API calls when a DynamoDB table is updated, Lambda functions can be set up to automatically trigger in response to changes in the DynamoDB table. This fits perfectly with Lambda's use case as it provides a serverless way to respond to events without the need for provisioning and managing infrastructure, leading to simplified architecture and potentially lower costs due to its pay-per-use pricing model.

Moreover, Lambda can scale automatically to handle varying loads, making it highly efficient for processing updates in a database and increasing responsiveness for API calls without reservation for underutilized resources. This aligns with the serverless principles of reducing operational overhead and focusing on core business logic.

In contrast, the other options either require sustained compute resources, involve serving persistent content, or may not benefit significantly from the serverless architecture provided by Lambda. For instance, processing large files stored in S3 might require a long-running task that is better suited to an EC2 instance, and serving a static website is effectively handled by