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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Development with AWS Services32%- Integrate AWS services into applications
  • 1. Implement messaging and event-driven workflows
  • 2. Use AWS Lambda, API Gateway, Amazon EventBridge
- Interact with AWS data services
  • 1. Work with Amazon DynamoDB, Amazon S3
  • 2. Implement caching and data storage strategies
- Write code for applications hosted on AWS
  • 1. Implement architectural patterns
  • 2. Use AWS SDKs and APIs
  • 3. Develop serverless applications
Deployment24%- Prepare application artifacts for deployment
  • 1. Package code and dependencies
  • 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
- Implement CI/CD pipelines
  • 1. Automate deployment and testing workflows
  • 2. Use AWS CodePipeline, CodeBuild, CodeDeploy
- Deploy applications on AWS
  • 1. Perform safe updates and rollbacks
  • 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
Security26%- Secure application data
  • 1. Implement encryption at rest and in transit
  • 2. Manage secrets and credentials securely
- Implement authentication and authorization
  • 1. Use Amazon Cognito for identity management
  • 2. Manage IAM roles, policies, and permissions
- Apply security best practices
  • 1. Validate application security configurations
  • 2. Follow AWS Well-Architected Framework security principles
Troubleshooting and Optimization18%- Optimize application performance
  • 1. Optimize resource usage and costs
  • 2. Improve latency and throughput
- Troubleshoot application issues
  • 1. Use Amazon CloudWatch, AWS X-Ray for monitoring
  • 2. Analyze logs, metrics, and traces
- Debug and resolve errors
  • 1. Resolve integration and configuration problems
  • 2. Identify and fix code defects

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Amazon AWS Certified Developer - Associate Sample Questions (Q665-Q670):

NEW QUESTION # 665
An application that runs on AWS Lambda requires access to specific highly confidential objects in an Amazon S3 bucket. In accordance with the principle of least privilege a company grants access to the S3 bucket by using only temporary credentials.
How can a developer configure access to the S3 bucket in the MOST secure way?

Answer: D

Explanation:
This solution will meet the requirements by creating a Lambda function execution role, which is an IAM role that grants permissions to a Lambda function to access AWS resources such as Amazon S3 objects. The developer can attach a policy to the role that grants access to specific objects in the S3 bucket that are required by the application, following the principle of least privilege. Option A is not optimal because it will hardcode the credentials that are required to access S3 objects in the application code, which is insecure and difficult to maintain. Option B is not optimal because it will create a secret access key and access key ID with permission to access the S3 bucket, which will introduce additional security risks and complexity for storing and managing credentials. Option D is not optimal because it will store the secret access key and access key ID as environment variables in Lambda, which is also insecure and difficult to maintain.
References: [AWS Lambda Execution Role], [Using AWS Lambda with Amazon S3]


NEW QUESTION # 666
A company is planning to use AWS CodeDeploy to deploy an application to Amazon Elastic Container Service (Amazon ECS) During the deployment of a new version of the application, the company initially must expose only 10% of live traffic to the new version of the deployed application. Then, after 15 minutes elapse, the company must route all the remaining live traffic to the new version of the deployed application.
Which CodeDeploy predefined configuration will meet these requirements?

Answer: D

Explanation:
Explanation
The predefined configuration "CodeDeployDefault.ECSCanary10Percent15Minutes" is designed for Amazon Elastic Container Service (Amazon ECS) deployments and meets the specified requirements. It will perform a canary deployment, which means it will initially route 10% of live traffic to the new version of the application, and then after 15 minutes elapse, it will automatically route all the remaining live traffic to the new version.
This gradual deployment approach allows the company to verify the health and performance of the new version with a small portion of traffic before fully deploying it to all users.


NEW QUESTION # 667
A company runs a new application on AWS Elastic Beanstalk. The company needs to deploy updates to the application. The updates must not cause any downtime for application users. The deployment must forward a specified percentage of incoming client traffic to a new application version during an evaluation period.
Which deployment type will meet these requirements?

Answer: D

Explanation:
AWS Elastic Beanstalk supports several deployment policies, and in this case, the requirement is to forward a specific percentage of traffic to the new version without causing downtime. The Traffic-splitting deployment policy is the most appropriate choice.
* Traffic-splitting Deployment: This deployment method allows you to gradually shift a specified percentage of incoming traffic from the old environment version to the new one. During the evaluation period, if any issues are detected, the traffic can be redirected back to the old version.
* No Downtime: This method ensures no downtime since both versions of the application run concurrently, and traffic is split between them.
* Alternatives:
* Rolling deployments (Option A): These gradually replace instances but may result in partial downtime if some instances fail during deployment.
* In-place deployments (Option C): In-place deployments replace instances without creating new ones, which can lead to downtime.
* Immutable deployments (Option D): While this ensures no downtime by creating entirely new instances, it doesn't provide traffic splitting during the evaluation phase.
Elastic Beanstalk Deployment Policies


NEW QUESTION # 668
A developer is migrating a containerized application from an on-premises environment to the AWS Cloud. The developer is using the AWS CDK to provision a container in Amazon ECS on AWS Fargate. The container is behind an Application Load Balancer (ALB). When the developer deploys the stack, the deployment fails because the ALB fails health checks. The developer needs to resolve the failed health checks.
Which solutions will meet this requirement? (Choose two.)

Answer: A,E

Explanation:
The target group port in the ALB must match the port specified in the ECS task definition. If there is a mismatch, the ALB health check will fail since it cannot correctly route traffic to the container.
The ALB listener must have a default action that forwards requests to the correct target group associated with the ECS service. If this configuration is missing, the health check will fail as no traffic is routed to the service.


NEW QUESTION # 669
A developer is building a new containerized application by using AWS Copilot. The developer uses the AWS Copilot command line interface (CLI) to deploy the application during development. The developer committed the application code to a new AWS CodeCommit repository. The developer must create an automated deployment process before releasing the new application to production.
What should the developer do to meet these requirements in the MOST operationally efficient way?

Answer: B


NEW QUESTION # 670
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