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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems - Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput
Topic 2: Deployment	24%	- Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows - Prepare application artifacts for deployment 1. Use infrastructure as code (AWS CloudFormation, AWS SAM) 2. Package code and dependencies
Topic 3: 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 - Write code for applications hosted on AWS 1. Implement architectural patterns 2. Use AWS SDKs and APIs 3. Develop serverless applications - Interact with AWS data services 1. Implement caching and data storage strategies 2. Work with Amazon DynamoDB, Amazon S3
Topic 4: Security	26%	- Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - Implement authentication and authorization 1. Use Amazon Cognito for identity management 2. Manage IAM roles, policies, and permissions - Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely

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Amazon AWS Certified Developer - Associate Sample Questions (Q390-Q395):

NEW QUESTION # 390
A company uses AWS CodeDeploy to deploy a web application from an Amazon ECR repository to an Amazon EC2 instance. The company needs to update the application and the deployment to avoid downtime that affects users during the deployment. Which solution will meet this requirement with the LEAST amount of operational overhead?

A. Configure CodeDeploy to deploy from the ECR repository to Amazon ECS with the Fargate launch type. Use a blue/green linear deployment strategy.
B. Deploy the application to AWS App Runner with a manual deployment strategy. Create a manual deployment in App Runner to update the application.
C. Create an AWS CloudFormation stack that deploys the application to AWS Elastic Beanstalk. Use a blue/green deployment strategy.
D. Configure CodeDeploy to deploy the application to Amazon EKS. Use an in-place deployment strategy.

Answer: A

Explanation:
By switching CodeDeploy to deploy from Amazon ECR to Amazon ECS with the Fargate launch type and using a blue/green deployment strategy, the company can achieve zero-downtime deployments. ECS Fargate manages the infrastructure, and CodeDeploy's blue/green deployment ensures seamless traffic shifting with minimal operational overhead.

NEW QUESTION # 391
A company is migrating an on-premises database to Amazon RDS for MySQL. The company has read- heavy workloads. The company wants to refactor the code to achieve optimum read performance for queries.
Which solution will meet this requirement with LEAST current and future effort?

A. Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.
B. Use a multi-AZ Amazon RDS deployment. Increase the number of connections that the code makes to the database or increase the connection pool size if a connection pool is in use.
C. Use open source replication software to create a copy of the MySQL database on an Amazon EC2 instance. Modify the application code so that queries use the IP address of the EC2 instance.
D. Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.

Answer: A

Explanation:
https://aws.amazon.com/rds/features/read-replicas/

NEW QUESTION # 392
A software company is migrating a single-page application from on-premises servers to the AWS Cloud by using AWS Amplify Hosting. The application relies on an API that was created with an existing GraphQL schema. The company needs to migrate the API along with the application.
Which solution will meet this requirement with the LEAST amount of configuration?

A. Create a new API in AWS AppSync by using the existing schema. Use the Amplify CLI's amplify import api command. Select the API as the application's backend environment.
B. Create a new API by using the Amplify CLI's amplify Import api command. Select REST as the service to use. Add the existing schema to the new API.
C. Create a new API by using the Amplify CLI's amplify add api command. Select GraphQL as the service to use. Add the existing schema to the new API.
D. Create a new API in Amazon API Gateway by using the existing schema. Use the Amplify CLI's amplify add api command. Select the API as the application's backend environment.

Answer: C

Explanation:
Using the Amplify CLI to add a GraphQL API directly creates and configures an AWS AppSync API that natively uses the existing GraphQL schema. This approach is tightly integrated with AWS Amplify Hosting and requires minimal manual setup, making it the simplest way to migrate a schema-based GraphQL API alongside a single-page application.

NEW QUESTION # 393
A company is developing an ecommerce application that uses Amazon API Gateway APIs. The application uses AWS Lambda as a backend. The company needs to test the code in a dedicated, monitored test environment before the company releases the code to the production environment.
When solution will meet these requirements?

A. Use a single stage in API Gateway. Configure a API client to send a query parameter that indicated the environment. Add different code blocks tor afferent environments in the Lambda Junction to match the value of the query parameter.
B. Use a single stage in API Gateway. Create a Lambda function for each environment. Configure API clients to send a query parameter that indicates the endowment and the specific lambda function.
C. Use multiple stages in API Gateway. Create a single Lambda function for all environments. Add different code blocks for different environments in the Lambda function based on Lambda environments variables.
D. Use multiple stages in API Gateway. Create a Lambda function for each environment. Configure API Gateway stage variables to route traffic to the Lambda function in different environments.

Answer: D

Explanation:
The solution that will meet the requirements is to use multiple stages in API Gateway. Create a Lambda function for each environment. Configure API Gateway stage variables to route traffic to the Lambda function in different environments. This way, the company can test the code in a dedicated, monitored test environment before releasing it to the production environment. The company can also use stage variables to specify the Lambda function version or alias for each stage, and avoid hard-coding the Lambda function name in the API Gateway integration. The other options either involve using a single stage in API Gateway, which does not allow testing in different environments, or adding different code blocks for different environments in the Lambda function, which increases complexity and maintenance.

NEW QUESTION # 394
An Amazon Simple Queue Service (Amazon SQS) queue serves as an event source for an AWS Lambda function In the SQS queue, each item corresponds to a video file that the Lambda function must convert to a smaller resolution The Lambda function is timing out on longer video files, but the Lambda function's timeout is already configured to its maximum value What should a developer do to avoid the timeouts without additional code changes'?

A. Increase the instance size of the host that runs the Lambda function.
B. Use multi-threading for the conversion.
C. Increase the memory configuration of the Lambda function
D. Increase the visibility timeout on the SQS queue

Answer: D

Explanation:
Visibility Timeout: When an SQS message is processed by a consumer (here, the Lambda function), it's temporarily hidden from other consumers. Visibility timeout controls this duration.
How It Helps:
Increase the visibility timeout beyond the maximum processing time your Lambda might typically take for long videos.
This prevents the message from reappearing in the queue while Lambda is still working, avoiding premature timeouts.
Reference:
SQS Visibility Timeout: https://docs.aws.amazon.com/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-visibility-timeout.html

NEW QUESTION # 395
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