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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Security	26%	- Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit - Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management
Troubleshooting and Optimization	18%	- Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems - Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces - Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs
Development with AWS Services	32%	- Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Interact with AWS data services 1. Implement caching and data storage strategies 2. Work with Amazon DynamoDB, Amazon S3 - Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Implement architectural patterns 3. Develop serverless applications
Deployment	24%	- Implement CI/CD pipelines 1. Automate deployment and testing workflows 2. Use AWS CodePipeline, CodeBuild, CodeDeploy - Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM) - Deploy applications on AWS 1. Perform safe updates and rollbacks 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk

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Amazon AWS Certified Developer - Associate Sample Questions (Q482-Q487):

NEW QUESTION # 482
A developer is writing an AWS Lambda function. The developer wants to log key events that occur while the Lambda function runs. The developer wants to include a unique identifier to associate the events with a specific function invocation. The developer adds the following code to the Lambda function:

Which solution will meet this requirement?

A. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to standard output.
B. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to standard output.
C. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to a file.
D. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to a file.

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/lambda/latest/dg/nodejs-context.html
https://docs.aws.amazon.com/lambda/latest/dg/nodejs-logging.html
There is no explicit information for the runtime, the code is written in Node.js.
AWS Lambda is a service that lets developers run code without provisioning or managing servers. The developer can use the AWS request ID field in the context object to obtain a unique identifier for each function invocation. The developer can configure the application to write logs to standard output, which will be captured by Amazon CloudWatch Logs. This solution will meet the requirement of logging key events with a unique identifier.
References:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Function Handler in Node.js - AWS Lambda]
[Using Amazon CloudWatch - AWS Lambda]

NEW QUESTION # 483
A company has a web application that contains an Amazon API Gateway REST API. A developer has created an AWS CloudFormation template for the initial deployment of the application. The developer has deployed the application successfully as part of an AWS CodePipeline continuous integration and continuous delivery (CI/CD) process. All resources and methods are available through the deployed stage endpoint.
The CloudFormation template contains the following resource types:
AWS::ApiGateway::RestApi
AWS::ApiGateway::Resource
AWS::ApiGateway::Method
AWS::ApiGateway::Stage
AWS::ApiGateway::Deployment
The developer adds a new resource to the REST API with additional methods and redeploys the template. CloudFormation reports that the deployment is successful and that the stack is in the UPDATE_COMPLETE state. However, calls to all new methods are returning 404 (Not Found) errors.
What should the developer do to make the new methods available?

A. Unset the CloudFormation stack failure options.
B. Add an AWS CodeBuild stage to CodePipeline to run the aws apigateway create-deployment AWS CLI command.
C. Add an action to CodePipeline to run the aws cloudfront create-invalidation AWS CLI command.
D. Specify the disable-rollback option during the update-stack operation.

Answer: B

NEW QUESTION # 484
A company is building a serverless application on AWS. The application uses an AWS Lambda function to process customer orders 24 hours a day, 7 days a week. The Lambda function calls an external vendor's HTTP API to process payments.
During load tests, a developer discovers that the external vendor payment processing API occasionally times out and returns errors. The company expects that some payment processing API calls will return errors.
The company wants the support team to receive notifications in near real time only when the payment processing external API error rate exceed 5% of the total number of transactions in an hour. Developers need to use an existing Amazon Simple Notification Service (Amazon SNS) topic that is configured to notify the support team.
Which solution will meet these requirements?

A. Write the results of payment processing API calls to Amazon CloudWatch. Use Amazon CloudWatch Logs Insights to query the CloudWatch logs. Schedule the Lambda function to check the CloudWatch logs and notify the existing SNS topic.
B. Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when error rate exceeds the specified rate.
C. Write the results of the external payment processing API calls to Amazon S3. Schedule an Amazon Athena query to run at regular intervals. Configure Athena to send notifications to the existing SNS topic when the error rate exceeds the specified rate.
D. Publish the results of the external payment processing API calls to a new Amazon SNS topic. Subscribe the support team members to the new SNS topic.

Answer: B

Explanation:
Amazon CloudWatch is a service that monitors AWS resources and applications. The developer can publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. The developer can configure a CloudWatch alarm to notify the existing SNS topic when the error rate exceeds 5% of the total number of transactions in an hour. This solution will meet the requirements in a near real-time and scalable way.
Reference:
[What Is Amazon CloudWatch? - Amazon CloudWatch]
[Publishing Custom Metrics - Amazon CloudWatch]
[Creating Amazon CloudWatch Alarms - Amazon CloudWatch]

NEW QUESTION # 485
A company uses AWS CloudFormation to deploy an application that uses an Amazon API Gateway REST API with AWS Lambda function integration. The application uses Amazon DynamoDB for data persistence.
The application has three stages: development, testing, and production. Each stage uses its own DynamoDB table. The company has encountered unexpected issues when promoting changes to the production stage. A developer needs to route 20% of the traffic to the new production stage API with the next production release.
The developer needs to route the remaining 80% of the traffic to the existing production stage. The solution must minimize the number of errors that any single customer experiences. Which approach should the developer take to meet these requirements?

A. Deploy an Application Load Balancer (ALB) in front of the REST API. Change the production API Amazon Route 53 record to point traffic to the ALB. Register the production and testing stages as targets of the ALB with weights of 80% and 20%, respectively.
B. Update 20% of the planned changes to the production stage. Deploy the new production stage. Monitor the results. Repeat this process five times to test all planned changes.
C. Update the Amazon Route 53 DNS record entry for the production stage API to use a weighted routing policy. Set the weight to 80. Add a second record for the production domain name. Change the second routing policy to a weighted routing policy. Set the weight of the second policy to 20. Change the alias of the second policy to use the testing stage API.
D. Configure canary settings for the production stage API. Change the percentage of traffic directed to canary deployment to 20%. Make the planned updates to the production stage. Deploy the changes.

Answer: D

Explanation:
The correct answer is D because Amazon API Gateway REST APIs support canary deployments for stages , which allow a developer to send a controlled percentage of production traffic to a new API deployment while the rest of the traffic continues to use the current deployment. Setting the canary percentage to 20% directly satisfies the requirement to route 20% of traffic to the new release and 80% to the existing production release.
This is the best approach because API Gateway canary deployments are specifically designed to reduce the blast radius of new releases in production. AWS documentation explains that canary releases enable testing of a new deployment with a subset of client traffic before promoting it fully. Since the canary runs within the same production stage , this minimizes the number of errors experienced by any single customer compared to less controlled alternatives. It is also cleaner than routing users to the testing stage, because a testing stage often has different configuration, data, or dependencies and is not intended to serve production traffic.
Option A is incorrect because partially deploying only some planned changes is not a safe traffic-routing strategy. Option B is incorrect because weighted Route 53 routing between production and testing stages does not provide the same controlled deployment semantics and may send the same customer to inconsistent backends. Option C is incorrect because placing an ALB in front of API Gateway is unnecessary and not the intended deployment pattern for API Gateway stage traffic shifting.
Therefore, API Gateway stage canary settings are the AWS-native solution that best meets the requirement.

NEW QUESTION # 486
Users are reporting errors in an application. The application consists of several micro services that are deployed on Amazon Elastic Container Serves (Amazon ECS) with AWS Fargate.
When combination of steps should a developer take to fix the errors? (Select TWO)

A. Instrument the application by using the AWS X-Ray SDK. Update the application to use the Put- XrayTrace API call to communicate with the X-Ray API.
B. Deploy AWS X-Ray as a sidecar container to the micro services. Update the task role policy to allow access to me X -Ray API.
C. Instrument the application by using the AWS X-Ray SDK. Update the application to communicate with the X-Ray daemon.
D. Deploy AWS X-Ray as a daemon set to the Fargate cluster. Update the service role policy to allow access to the X-Ray API.
E. Instrument the ECS task to send the stout and spider- output to Amazon CloudWatch Logs. Update the task role policy to allow the cloudwatch Putlogs action.

Answer: B,E

Explanation:
The combination of steps that the developer should take to fix the errors is to deploy AWS X-Ray as a sidecar container to the microservices and instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. This way, the developer can use AWS X-Ray to analyze and debug the performance of the microservices and identify any issues or bottlenecks. The developer can also use CloudWatch Logs to monitor and troubleshoot the logs from the ECS task and detect any errors or exceptions. The other options either involve using AWS X-Ray as a daemon set, which is not supported by Fargate, or using the PutTraceSegments API call, which is not necessary when using a sidecar container.
Reference: Using AWS X-Ray with Amazon ECS

NEW QUESTION # 487
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