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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Troubleshooting and Optimization	18%	- 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
Topic 2: Deployment	24%	- Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks - 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
Topic 3: Security	26%	- Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - 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
Topic 4: Development with AWS Services	32%	- 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 - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows

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최신 AWS Certified Associate DVA-C02 무료샘플문제 (Q481-Q486):

질문 # 481
A developer needs to deploy an application to AWS Elastic Beanstalk for a company. The application consists of a single Docker image. The company's automated continuous integration and continuous delivery (CI/CD) process builds the Docker image and pushes the image to a public Docker registry. How should the developer deploy the application to Elastic Beanstalk?

A. Create a .zip file that contains the Docker image. Upload the .zip file to Elastic Beanstalk.
B. Create a Dockerfile. Run the Elastic Beanstalk CLI eb local run command in the same directory.
C. Create a Dockerfile. Configure Elastic Beanstalk to build the application as a Docker image.
D. Create a docker-compose.yml file. Use the Elastic Beanstalk CLI to deploy the application.

정답：D

설명：
https://docs.aws.amazon.com/elasticbeanstalk/latest/dg/docker.html#single-container- docker.deploy-remote Deploy a remote Docker image to Elastic Beanstalk After testing your container locally, deploy it to an Elastic Beanstalk environment. Elastic Beanstalk uses the docker-compose.yml file to pull and run your image if you are using Docker Compose. Otherwise, Elastic Beanstalk uses the Dockerrun.aws.json instead.
Use the EB CLI to create an environment and deploy your image.
~/remote-docker$ eb create environment-name

질문 # 482
A developer is investigating recent performance bottlenecks within a company's distributed web application that runs on various AWS services, including Amazon EC2 and Amazon DynamoDB.
How can the developer determine the length of time of the application's calls to the various downstream AWS services?

A. Implement AWS X-Ray with client handlers for the various downstream calls.
B. Use Amazon CloudWatch Logs to analyze application logs for the various calls.
C. Enable VPC Flow Logs and analyze them in Amazon OpenSearch Service.
D. Enable detailed monitoring for the EC2 instances in Amazon CloudWatch.

정답：A

설명：
AWS X-Ray traces end-to-end requests through your distributed application. By instrumenting your application with X-Ray client handlers (for the AWS SDK and HTTP clients), you can capture and visualize the timing of each call to downstream services, such as DynamoDB, S3, or other APIs, directly in the X-Ray service map and trace details. This provides precise latency measurements without modifying your logging framework or overloading CloudWatch Logs.

질문 # 483
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 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.
B. 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.
C. 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.
D. 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.

정답：C

설명：
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.
Reference: Set up stage variables for a REST API in API Gateway

질문 # 484
A developer is building a web application that uses Amazon API Gateway to expose an AWS Lambda function to process requests from clients. During testing, the developer notices that the API Gateway times out even though the Lambda function finishes under the set time limit.
Which of the following API Gateway metrics in Amazon CloudWatch can help the developer troubleshoot the issue? (Choose two.)

A. IntegrationLatency
B. Count
C. CacheMissCount
D. CacheHitCount
E. Latency

정답：A,E

설명：
Explanation
Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. Amazon CloudWatch is a service that monitors AWS resources and applications. API Gateway provides several CloudWatch metrics to help developers troubleshoot issues with their APIs. Two of the metrics that can help the developer troubleshoot the issue of API Gateway timing out are:
IntegrationLatency: This metric measures the time between when API Gateway relays a request to the backend and when it receives a response from the backend. A high value for this metric indicates that the backend is taking too long to respond and may cause API Gateway to time out.
Latency: This metric measures the time between when API Gateway receives a request from a client and when it returns a response to the client. A high value for this metric indicates that either the integration latency is high or API Gateway is taking too long to process the request or response.
References:
[What Is Amazon API Gateway? - Amazon API Gateway]
[Amazon API Gateway Metrics and Dimensions - Amazon CloudWatch]
[Troubleshooting API Errors - Amazon API Gateway]

질문 # 485
A development team is creating a serverless application that uses AWS Lambda functions. The team wants to streamline a testing workflow by sharing test events across multiple developers within the same AWS account. The team wants to ensure all developers can use consistent test events without compromising security.

A. Export test events as JSON files. Store the files in an Amazon S3 bucket. Configure granular IAM permissions to allow the developers to access the S3 bucket.
B. Configure test events to be shareable. Configure granular IAM permissions to allow the developers to access shared test events.
C. Store test events in an Amazon DynamoDB table. Create an AWS Lambda function to retrieve shared test events for the developers.
D. Set up a Git repository to store test events. Provide the developers with access to the repository.

정답：A

설명：
Comprehensive and Detailed Step-by-Step Explanation:
* Option A: Use Amazon S3 for Shared Test Events:
* Storing JSON test event files in an S3 bucket provides a centralized, cost-effective, and highly available solution.
* Granular IAM policies can restrict access to specific developers or roles, ensuring security while maintaining consistency for shared test events.
* This solution has minimal operational overhead and integrates easily with existing workflows.
* Why Other Options Are Incorrect:
* Option B: Using DynamoDB and a Lambda function introduces unnecessary complexity for a relatively simple requirement. S3 provides a simpler and more cost-efficient solution.
* Option C: AWS Lambda test events are not inherently shareable across developers, making this option invalid.
* Option D: Using a Git repository adds operational overhead and requires developers to clone
/update repositories for access, which is more cumbersome compared to S3.
References:
* Amazon S3 for Centralized Storage

질문 # 486
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