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| Section | Weight | Objectives |
|---|---|---|
| Security | 26% | - Application authentication and authorization
|
| Deployment | 24% | - Infrastructure as code
|
| Development with AWS Services | 32% | - Application development and integration
|
| Troubleshooting and Optimization | 18% | - Performance optimization
|
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NEW QUESTION # 732
A developer maintains an Amazon API Gateway REST API. Customers use the API through a frontend UI and Amazon Cognito authentication.
The developer has a new version of the API that contains new endpoints and backward-incompatible interface changes. The developer needs to provide beta access to other developers on the team without affecting customers.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. The developer can define a development stage on the API Gateway API and instruct the other developers to point the endpoints to the development stage. This way, the developer can provide beta access to the new version of the API without affecting customers who use the production stage. This solution will meet the requirements with the least operational overhead.
References:
* [What Is Amazon API Gateway? - Amazon API Gateway]
* [Set up a Stage in API Gateway - Amazon API Gateway]
NEW QUESTION # 733
For a deployment using AWS Code Deploy, what is the run order of the hooks for in-place deployments?
Answer: B
Explanation:
Explanation
For in-place deployments, AWS CodeDeploy uses a set of predefined hooks that run in a specific order during each deployment lifecycle event. The hooks are ApplicationStop, BeforeInstall, AfterInstall, ApplicationStart, and ValidateService. The run order of the hooks for in-place deployments is as follows:
ApplicationStop: This hook runs first on all instances and stops the current application that is running on the instances.
BeforeInstall: This hook runs after ApplicationStop on all instances and performs any tasks required before installing the new application revision.
AfterInstall: This hook runs after BeforeInstall on all instances and performs any tasks required after installing the new application revision.
ApplicationStart: This hook runs after AfterInstall on all instances and starts the new application that has been installed on the instances.
ValidateService: This hook runs last on all instances and verifies that the new application is running properly on the instances.
NEW QUESTION # 734
A company needs to develop a proof of concept for a web service application. The application will show the weather forecast for one of the company's office locations. The application will provide a REST endpoint that clients can call. Where possible, the application should use caching features provided by AWS to limit the number of requests to the backend service. The application backend will receive a small amount of traffic only during testing.
Which approach should the developer take to provide the REST endpoint MOST cost-effectively?
Answer: B
Explanation:
Requirement Summary:
Simple REST endpoint for weather data
Light backend usage (POC, testing)
Wants caching support to reduce backend calls
Must be cost-effective
Evaluate Options:
B: Lambda + API Gateway + SAM
Serverless = No idle costs
API Gateway can enable caching (response caching at endpoint level)
SAM makes deployment simple and repeatable
Perfect for low-traffic testing
A: EKS + API Gateway
High overhead
Not cost-effective for POC/testing
C: ECS + API Gateway
Similar to A: Container orchestration not needed for light REST endpoint D: Elastic Beanstalk + ALB + Lambda Overly complex and does not directly expose Lambda Beanstalk better suited for full apps, not small REST functions AWS SAM: https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/what-is-sam.
html
API Gateway caching: https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-caching.
html
Serverless Best Practices: https://docs.aws.amazon.com/lambda/latest/dg/best-practices.html
NEW QUESTION # 735
A company is using AWS CloudFormation to deploy a two-tier application. The application will use Amazon RDS as its backend database. The company wants a solution that will randomly generate the database password during deployment. The solution also must automatically rotate the database password without requiring changes to the application.
What is the MOST operationally efficient solution that meets these requirements'?
Answer: C
Explanation:
Explanation
This solution will meet the requirements by using AWS Secrets Manager, which is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can use an AWS Secrets Manager resource in AWS CloudFormation template, which enables creating and managing secrets as part of a CloudFormation stack.
The developer can use an AWS::SecretsManager::Secret resource type to generate and rotate the password for accessing RDS database during deployment. The developer can also specify a RotationSchedule property for the secret resource, which defines how often to rotate the secret and which Lambda function to use for rotation logic. Option A is not optimal because it will use an AWS Lambda function as a CloudFormation custom resource, which may introduce additional complexity and overhead for creating and managing a custom resource and implementing rotation logic. Option B is not optimal because it will use an AWS Systems Manager Parameter Store resource with the SecureString data type, which does not support automatic rotation of secrets. Option C is not optimal because it will use a cron daemon on the application's host to generate and rotate the password, which may incur more costs and require more maintenance for running and securing a host.
References: [AWS Secrets Manager], [AWS::SecretsManager::Secret]
NEW QUESTION # 736
A developer has an application that makes batch requests directly to Amazon DynamoDB by using the BatchGetItem low-level API operation. The responses frequently return values in the UnprocessedKeys element.
Which actions should the developer take to increase the resiliency of the application when the batch response includes values in UnprocessedKeys? (Choose two.)
Answer: B,C
Explanation:
The UnprocessedKeys element indicates that the BatchGetItem operation did not process all of the requested items in the current response. This can happen if the response size limit is exceeded or if the table's provisioned throughput is exceeded. To handle this situation, the developer should retry the batch operation with exponential backoff and randomized delay to avoid throttling errors and reduce the load on the table. The developer should also use an AWS SDK to make the requests, as the SDKs automatically retry requests that return UnprocessedKeys.
Reference:
[BatchGetItem - Amazon DynamoDB]
[Working with Queries and Scans - Amazon DynamoDB]
[Best Practices for Handling DynamoDB Throttling Errors]
NEW QUESTION # 737
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