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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q739-Q744):

739. Frage
A company needs to distribute firmware updates to its customers around the world.
Which service will allow easy and secure control of the access to the downloads at the lowest cost?

A. Use Amazon CloudFront with AWS Lambda@Edge.
B. Use Amazon API Gateway and AWS Lambda to control access to an S3 bucket.
C. Use Amazon CloudFront with signed URLs for Amazon S3.
D. Create a dedicated Amazon CloudFront Distribution for each customer.

Antwort: C

Begründung:
https://aws.amazon.com/blogs/networking-and-content-delivery/amazon-s3-amazon-cloudfront-a- match-made-in-the-cloud/

740. Frage
A healthcare company is developing a multi-tier web application to manage patient records that are in an Amazon Aurora PostgreSQL database cluster. The company stores the application code in a Git repository and deploys the code to Amazon EC2 instances.
The application must comply with security policies and follow the principle of least privilege. The company must securely manage database credentials and API keys within the application code. The company must have the ability to rotate encryption keys on demand.
Which solution will meet these requirements?

A. Store the database credentials in the application code. Separate credentials by using environment- specific branches that have restricted access to the code repositories.
B. Store the database credentials and API keys in AWS Secrets Manager. Use customer managed AWS KMS keys. Set up automatic key rotation. Create a key policy in the application to retrieve secrets by using the AWS SDK.
C. Store the database credentials and API keys as parameters in AWS Systems Manager Parameter Store.Encrypt the credentials and API keys with AWS managed AWS KMS keys. Use the AWS SDK to retrieve secrets.
D. Store database credentials and API keys in AWS Secrets Manager. Use AWS managed AWS KMS keys. Set up automatic key rotation. Use the AWS SDK to retrieve secrets.

Antwort: D

Begründung:
Requirement Summary:
* Multi-tier app on EC2 + Aurora PostgreSQL
* Must comply withleast privilegeandsecurity policies
* Need to managecredentials and API keys securely
* Must supportkey rotation on demand
Evaluate Options:
#A. Secrets Manager + AWS managed KMS keys
* #Best practice for secure secret storage
* #Supportsauto rotation
* #Uses AWS SDK to fetch at runtime (secure, avoids hardcoding)
* AWS managed keys arerotated automaticallyandeasier to manage
B: Secrets Manager + customer managed keys
* ##Also valid, butadds complexity
* Since the question asks forLEAST development effort, AWS-managed keys are preferred C: Store secrets in code
* #Violates all security best practices
D: Use SSM Parameter Store + AWS managed keys
* ##Possible, butSecrets Manageris preferred when rotation is needed
* Parameter Store doesnot natively rotate secrets
* Secrets Manager:https://docs.aws.amazon.com/secretsmanager/latest/userguide/intro.html
* Automatic key rotation: https://docs.aws.amazon.com/kms/latest/developerguide/rotate-keys.html
* Best practices for secret management: https://docs.aws.amazon.com/secretsmanager/latest/userguide/best-practices.html

741. Frage
A company has built an AWS Lambda function to convert large image files into output files that can be used in a third-party viewer application The company recently added a new module to the function to improve the output of the generated files However, the new module has increased the bundle size and has increased the time that is needed to deploy changes to the function code.
How can a developer increase the speed of the Lambda function deployment?

A. Use AWS CodeDeploy to deploy the function code
B. Use Lambda layers to package and load dependencies.
C. Increase the memory size of the function.
D. Use Amazon S3 to host the function dependencies

Antwort: B

Begründung:
Problem: Large bundle size increases Lambda deployment time.
Lambda Layers: Layers let you package dependencies separately from your function code. This optimizes the deployment package, making updates faster.
Modularization: Breaking down dependencies into layers improves code organization and reusability.
Reference:
AWS Lambda Layers: https://docs.aws.amazon.com/lambda/latest/dg/configuration-layers.html

742. Frage
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 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.
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 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.
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.

Antwort: A

Begründung:
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.

743. Frage
A company wants to migrate its web application to AWS and leverage auto scaling to handle peak workloads.
The solutions architect determined that the best metric for an auto scaling event is the number of concurrent users.
Based on this information, what should the developer use to auto scale based on concurrent users?

A. An Amazon CloudWatch NetworkIn metric
B. A custom Amazon CloudWatch metric for concurrent users
C. Amazon CloudFront to leverage AWS edge locations
D. An Amazon SNS topic to be invoked when a concurrent user threshold is met

Antwort: B

Begründung:
Concurrent users is an application-level metric, not a default infrastructure metric. CloudWatch provides standard metrics such as CPU utilization, network input, and request counts for many AWS services, but it will not automatically know how many active users the application currently has unless the application publishes that value. The correct design is to publish concurrent user count as a custom CloudWatch metric and use that metric in the scaling policy. SNS is a notification service, not a metric source. CloudFront can improve content delivery, but it does not directly define application auto scaling based on concurrent users.
NetworkIn might correlate with load but is not the metric chosen by the architect. CloudWatch supports custom metrics and alarms for threshold-based actions. ( AWS Documentation )

744. Frage
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