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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Automate deployment testing 1. AWS CodeDeploy 2. AWS CodePipeline 3. AWS CodeCommit 4. AWS CodeBuild - Deploy code by using AWS CI/CD services 1. AWS CodeDeploy 2. Canary deployments 3. Rolling deployments 4. Blue/green deployments 5. AWS CodePipeline 6. AWS CodeCommit 7. AWS CodeBuild 8. GitHub integration - Test applications in development environments 1. Mocking AWS services 2. Local testing of Lambda functions 3. AWS SAM local - Prepare application artifacts to be deployed to AWS 1. AWS CloudFormation 2. Lambda deployment packages 3. Docker containers 4. AWS SAM 5. AWS CDK
Topic 2: Development with AWS Services	32%	- Develop code for AWS serverless applications 1. AWS Step Functions 2. Amazon EventBridge 3. AWS AppSync 4. Amazon API Gateway - Develop code for applications hosted on AWS 1. AWS CLI 2. Amazon Cognito 3. AWS Lambda 4. Amazon SNS 5. AWS CloudFormation 6. Amazon DynamoDB 7. Amazon S3 8. Amazon SQS 9. Amazon API Gateway 10. AWS SDKs - Use data stores in application development 1. Amazon RDS 2. Amazon ElastiCache 3. Amazon EFS 4. Amazon DynamoDB 5. Amazon S3
Topic 3: Security	26%	- Manage sensitive data in application code 1. AWS Systems Manager Parameter Store 2. Environment variables 3. Encryption of data at rest and in transit 4. AWS Secrets Manager - Implement authentication and/or authorization for applications and AWS services 1. Identity federation (SAML, OpenID Connect, Amazon Cognito) 2. Bearer tokens (JWT, OAuth, AWS STS) 3. Role-based access control (RBAC) 4. Resource-based policies, service policies, and principal policies 5. User pools and identity pools in Amazon Cognito - Implement encryption by using AWS services 1. AWS CloudHSM 2. Amazon S3 encryption 3. AWS KMS 4. AWS Secrets Manager 5. AWS Certificate Manager
Topic 4: Troubleshooting and Optimization	18%	- Optimize applications by using AWS services and features 1. Data storage optimization 2. Caching strategies (ElastiCache, CloudFront) 3. Memory and compute optimization 4. Concurrency and throttling 5. Cost optimization - Assist in a root cause analysis 1. Amazon CloudWatch Logs 2. Error handling and retries 3. Application logging 4. AWS X-Ray 5. AWS CloudTrail - Instrument code for observability 1. Amazon CloudWatch metrics 2. Structured logging 3. Amazon CloudWatch alarms 4. Custom metrics 5. AWS X-Ray

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q693-Q698):

693. Frage
A company has a serverless application that uses Amazon API Gateway and AWS Lambda functions to expose a RESTful API. The company uses a continuous integration and continuous delivery (CI/CD) workflow to deploy the application to multiple environments. The company wants to implement automated integration tests after deployment.
A developer needs to set up the necessary infrastructure and processes to automate the deployment and integration tests for the serverless application.

A. Use AWS CodePipeline to create a CI/CD pipeline. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
B. Configure API Gateway stages to represent each application environment. Use AWS CloudFormation to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.
C. Use AWS CloudFormation to create and deploy the application infrastructure in each application environment. Use the AWS CLI to invoke Lambda functions to perform deployment tests after each deployment.
D. Configure API Gateway stages to represent each application environment. Use AWS SAM templates to manage the infrastructure for the Lambda functions and API resources. Use AWS CodeBuild to implement automated deployment tests to validate the deployments in each stage.

Antwort: A

Begründung:
Comprehensive and Detailed Step-by-Step Explanation:
* Option C: Use AWS CodePipeline for CI/CD Workflow:
* AWS CodePipelineautomates the entire CI/CD pipeline, including build, deploy, and test stages.
This minimizes manual effort and integrates well with AWS services.
* API Gateway Stages:Represent different environments, such as dev, test, and prod, allowing isolated deployment and testing.
* AWS CloudFormation Templates:Ensure that the infrastructure for Lambda and API Gateway is consistent across environments.
* AWS CodeBuild for Automated Tests:Validates the deployments in each stage, ensuring integration and functionality are tested post-deployment.
* Why Other Options Are Incorrect:
* Option A and B:While using AWS SAM or CloudFormation for infrastructure management is valid, these options lack the fully automated CI/CD pipeline provided by CodePipeline.
* Option D:Manually invoking Lambda functions using the AWS CLI introduces operational overhead and lacks the automation provided by CodePipeline.

694. Frage
An application runs on multiple EC2 instances behind an ELB.
Where is the session data best written so that it can be served reliably across multiple requests?

A. Write data to Amazon ElastiCache
B. Write data to Amazon Elastic Block Store
C. Write data to Amazon EC2 instance Store
D. Wide data to the root filesystem

Antwort: A

Begründung:
The solution that will meet the requirements is to write data to Amazon ElastiCache. This way, the application can write session data to a fast, scalable, and reliable in-memory data store that can be served reliably across multiple requests. The other options either involve writing data to persistent storage, which is slower and more expensive than in-memory storage, or writing data to the root filesystem, which is not shared among multiple EC2 instances.
Reference: Using ElastiCache for session management

695. Frage
A company wants to share information with a third party. The third party has an HTTP API endpoint that the company can use to share the information. The company has the required API key to access the HTTP API.
The company needs a way to manage the API key by using code. The integration of the API key with the application code cannot affect application performance.
Which solution will meet these requirements MOST securely?

A. Store the API credentials in an Amazon DynamoDB table. Restrict access to the table by using resource- based policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
B. Store the API credentials in AWS Secrets Manager. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.
C. Store the API credentials in a local code variable. Push the code to a secure Git repository. Use the local code variable at runtime to make the API call.
D. Store the API credentials as an object in a private Amazon S3 bucket. Restrict access to the S3 object by using IAM policies. Retrieve the API credentials at runtime by using the AWS SDK. Use the credentials to make the API call.

Antwort: B

Begründung:
AWS Secrets Manager is a service that helps securely store, rotate, and manage secrets such as API keys, passwords, and tokens. The developer can store the API credentials in AWS Secrets Manager and retrieve them at runtime by using the AWS SDK. This solution will meet the requirements of security, code management, and performance. Storing the API credentials in a local code variable or an S3 object is not secure, as it exposes the credentials to unauthorized access or leakage. Storing the API credentials in a DynamoDB table is also not secure, as it requires additional encryption and access control measures.
Moreover, retrieving the credentials from S3 or DynamoDB may affect application performance due to network latency.
References:
* [What Is AWS Secrets Manager? - AWS Secrets Manager]
* [Retrieving a Secret - AWS Secrets Manager]

696. Frage
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?

A. Define a development stage on the API Gateway API. Instruct the other developers to point the endpoints to the development stage.
B. Define a new API Gateway API that points to the new API application code. Instruct the other developers to point the endpoints to the new API.
C. Specify new API Gateway endpoints for the API endpoints that the developer wants to add.
D. Implement a query parameter in the API application code that determines which code version to call.

Antwort: A

Begründung:
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]

697. Frage
A developer created an AWS Lambda function that performs a series of operations that involve multiple AWS services. The function's duration time is higher than normal. To determine the cause of the issue, the developer must investigate traffic between the services without changing the function code Which solution will meet these requirements?

A. Review the AWS Config logs in Amazon Cloud Watch.
B. Review the Amazon CloudWatch logs that are associated with the Lambda function.
C. Enable AWS X-Ray active tracing in the Lambda function Review the logs in X-Ray
D. Configure AWS CloudTrail View the trail logs that are associated with the Lambda function.

Antwort: C

Begründung:
* Tracing Distributed Systems: AWS X-Ray is designed to trace requests across services, helping identify bottlenecks in distributed applications like this one.
* No Code Changes: Enabling X-Ray tracing often requires minimal code changes, meeting the requirement.
* Identifying Bottlenecks: Analyzing X-Ray traces and logs will reveal latency in communications between different AWS services, leading to the high duration time.
References:
* AWS X-Ray: https://aws.amazon.com/xray/
* X-Ray and Lambda: https://docs.aws.amazon.com/xray/latest/devguide/xray-services-lambda.html

698. Frage
......

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