시험준비에가장좋은DVA-C02최신버전인기덤프공부자료

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Amazon DVA-C02 Exam Syllabus Topics:

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

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최신 AWS Certified Associate DVA-C02 무료샘플문제 (Q429-Q434):

질문 # 429
A developer is designing an internal single-page website for a company. The website has static content that is hosted in an Amazon S3 bucket that is configured as a static web host. The design requires the web application to invoke a REST API in Amazon API Gateway to run an AWS Lambda function.
The developer must ensure that the REST API can be invoked only by computers that have IP addresses within the company's corporate CIDR range.
Which solution will meet this requirement?

A. Define an S3 bucket policy to restrict website access to the corporate CIDR range.
B. Define a network ACL to restrict API access to the corporate CIDR range.
C. Define an API Gateway resource policy to restrict API access to the corporate CIDR range.
D. Update the IAM service-linked role that is associated with API Gateway to restrict access to the corporate CIDR range.

정답：C

설명：
An API Gateway resource policy can restrict who can invoke a REST API based on conditions such as source IP address. By allowing access only from the company's corporate CIDR range, the API can be invoked only by computers within that network.

질문 # 430
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. 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.
B. 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.
C. Use a multi-AZ Amazon RDS deployment. Modify the code so that queries access the secondary RDS instance.
D. Deploy Amazon RDS with one or more read replicas. Modify the application code so that queries use the URL for the read replicas.

정답：C

질문 # 431
A company has an application that uses an AWS Lambda function to consume messages from an Amazon Simple Queue Service (Amazon SQS) queue. The SQS queue is configured with a dead-letter queue. Due to a defect in the application, AWS Lambda failed to process some messages. A developer fixed the bug and wants to process the failed messages again.
How should the developer resolve this issue?

A. Use the ChangeMessageVisibility API to configure messages in the dead-letter queue to be visible in the original SQS queue.
B. Use the SendMessageBatch API to send messages from the dead-letter queue to the original SQS queue.
C. Use the PurgeQueue API to remove messages from the dead-letter queue and return the messages to the original SQS queue.
D. Use the StartMessageMoveTask API to move messages from the dead-letter queue to the original SQS queue.

정답：B

질문 # 432
A developer creates an AWS CloudFormation template that defines one AWS Lambda function, one Amazon S3 bucket, and one IAM role. The developer wants to deploy multiple stacks from the same template across different environments. Each resource must have a unique name per environment.
Which combination of solutions will meet this requirement? (Select TWO.)

A. Create a rule for the environment name.
B. Define resource names by using Fn::Sub and !Ref with the environment name parameter.
C. Create a condition for the environment name.
D. Create a parameter for the environment name.
E. Define resource names by using Fn::GetAtt and !Ref with the environment name parameter.

정답：B,D

설명：
AWS CloudFormation parameters allow templates to be reused across multiple environments by injecting environment-specific values at deployment time. AWS documentation recommends parameters for environment names such as dev, test, and prod.
To ensure unique resource names, CloudFormation intrinsic functions can dynamically construct names. Fn::
Sub allows string interpolation, and !Ref retrieves the parameter value. Together, they enable resource names like myapp-dev-bucket or myapp-prod-role.
Conditions (Option B) control whether resources are created but do not generate unique names. Rules (Option C) validate parameters but do not affect naming. Fn::GetAtt (Option E) retrieves resource attributes and is not used to build names.
Therefore, defining an environment name parameter and using Fn::Sub with !Ref is the correct and AWS- recommended approach.

질문 # 433
A company is creating an AWS Step Functions state machine to run a set of tests for an application. The tests need to run when a specific AWS Cloud Formation stack is deployed.
Which combination of steps will meet these requirements? (Select TWO.)

A. Create an AWS Lambda function to invoke the state machine.
B. Create an Amazon EventBridge rule on the default bus that matches on a detail type of CloudFormation stack status change, a status of UPDATE_IN_PROGRESS, and the stack ID of the CloudFormation stack.
C. Add the state machine as a target of the EventBridge rule.
D. Create a pipe in Amazon EventBridge Pipes that has a source of the EventBridge rule. Set the state machine as a target.
E. Create a pipe in Amazon EventBridge Pipes that has a source of the default event bus. Set the Lambda function as a target. Filter on a detail type of CloudFormation stack status change, a status of UPDATE_IN_PROGRESS, and the stack ID of the CloudFormation stack.

정답：A,C

설명：
Requirement Summary:
* Trigger an AWS Step Functions state machine (test execution)
* Only when a specific AWS CloudFormation stack is deployed
Option A: Create a Lambda function to invoke the state machine
* Valid approach: Lambda can be used as an intermediary trigger for Step Functions using the SDK (e.g., StartExecution API).
* Offers flexibility (custom filtering, additional logic).
Option B: Create EventBridge rule filtering on UPDATE_IN_PROGRESS
* Incorrect: UPDATE_IN_PROGRESS triggers before the stack is fully deployed.
* You need to trigger after deployment, such as UPDATE_COMPLETE or CREATE_COMPLETE.
Option C: EventBridge Pipes with Lambda target filtering on UPDATE_IN_PROGRESS
* Incorrect for same reason as B (wrong timing).
* Also, EventBridge Pipes are not necessary here if you're using rules directly.
Option D: Pipe with EventBridge Rule as source and Step Functions as target
* Invalid setup: EventBridge Pipes use event sources, not rules, as input.
* This configuration is unsupported.
Option E: Add the state machine as a target of the EventBridge rule
* Direct and low-overhead approach.
* EventBridge natively supports Step Functions as a target.
* You can trigger the state machine without a Lambda if the filter matches (e.g., ResourceStatus = CREATE_COMPLETE, with the correct StackId).
* Step Functions as EventBridge target: https://docs.aws.amazon.com/eventbridge/latest/userguide
/eventbridge-target-step-functions.html
* EventBridge CloudFormation events: https://docs.aws.amazon.com/AWSCloudFormation/latest
/UserGuide/using-cfn-listing-event-history.html
* StartExecution API: https://docs.aws.amazon.com/step-functions/latest/apireference
/API_StartExecution.html

질문 # 434
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