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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Troubleshooting and Optimization	18%	- 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 - Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects
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
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. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows - Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks
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. Develop serverless applications 3. Use AWS SDKs and APIs - Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies

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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q61-Q66):

61. Frage
An application uses an Amazon EC2 Auto Scaling group. A developer notices that EC2 instances are taking a long time to become available during scale-out events. The UserData script is taking a long time to run.
The developer must implement a solution to decrease the time that elapses before an EC2 instance becomes available. The solution must make the most recent version of the application available at all times and must apply all available security updates. The solution also must minimize the number of images that are created. The images must be validated.
Which combination of steps should the developer take to meet these requirements? (Choose two.)

A. Set up AWS CodePipeline to deploy the most recent version of the application at runtime.
B. Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install the latest version of the application and all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.
C. Set up AWS CodeDeploy to deploy the most recent version of the application at runtime.
D. Use EC2 Image Builder to create an Amazon Machine Image (AMI). Install all the patches and agents that are needed to manage and run the application. Update the Auto Scaling group launch configuration to use the AMI.
E. Remove any commands that perform operating system patching from the UserData script.

Antwort: B,E

Begründung:
AWS CloudFormation is a service that enables developers to model and provision AWS resources using templates. The developer can use the following steps to avoid accidental database deletion in the future:
Set up AWS CodeDeploy to deploy the most recent version of the application at runtime. This will ensure that the application code is always up to date and does not depend on the AMI.
Remove any commands that perform operating system patching from the UserData script. This will reduce the time that the UserData script takes to run and speed up the instance launch process.
Reference:
[What Is AWS CloudFormation? - AWS CloudFormation]
[What Is AWS CodeDeploy? - AWS CodeDeploy]
[Running Commands on Your Linux Instance at Launch - Amazon Elastic Compute Cloud]

62. Frage
A company is developing a new ecommerce platform on AWS. The company wants to implement an event-driven architecture for the company's order processing system. The system needs to perform the following steps when a customer places an order:
1. Update inventory in the company's warehouse management system
2. Send a confirmation email message to the customer
3. Notify the company's shipping department to prepare the customer's
package
4. Update the customer's order history
A developer at the company wants to ensure loose coupling between services so that the company can easily add new steps in future.
Which solution will meet these requirements?

A. Use Amazon SQS to create a queue for orders. Configure an AWS Lambda function to process the queue and to directly call the APIs for each order processing step.
B. Use AWS Step Functions to orchestrate the workflow. Configure an AWS Lambda function for each step in the process to directly invoke the API for each order processing step.
C. Configure the order processing system to publish an event for each order that is placed to an Amazon EventBridge event bus. Set up separate rules and targets for each order processing step.
D. Use Amazon SNS to publish order events. Create a separate subscription for each order processing step. Configure an AWS Lambda function to process each subscription.

Antwort: C

Begründung:
Amazon EventBridge supports event-driven architectures with loose coupling by allowing the order system to publish an order event to an event bus. Separate rules and targets can independently handle inventory updates, customer emails, shipping notifications, and order history updates, while making it easy to add new processing steps later without changing the order publisher.

63. Frage
A developer is building an application that uses an Amazon RDS for PostgreSQL database. To meet security requirements, the developer needs to ensure that data is encrypted at rest. The developer must be able to rotate the encryption keys on demand.

A. Create a 256-bit AES-GCM encryption key. Store the key in AWS Secrets Manager. Configure an AWS Lambda function to perform key rotation. Use the key to encrypt the database.
B. Create a symmetric customer managed AWS KMS key. Use the key to encrypt the database.
C. Use an AWS KMS managed encryption key to encrypt the database.
D. Create a 256-bit AES-GCM encryption key. Store the key in AWS Secrets Manager, and enable managed rotation. Use the key to encrypt the database.

Antwort: B

Begründung:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
A customer-managed AWS Key Management Service (KMS) key allows for encryption at rest and provides the ability to rotate the key on demand. This ensures compliance with security requirements for key management and database encryption.
RDS integrates natively with AWS KMS, allowing the use of a customer-managed key for encrypting data at rest.
Key rotation can be managed directly in AWS KMS without needing custom solutions.
Why Other Options are Incorrect:
Option A: AWS KMS managed encryption keys (AWS-owned keys) do not support key rotation on demand.
Option C & D: Storing keys in AWS Secrets Manager with custom rotation is not a recommended approach for database encryption. AWS KMS is designed specifically for secure key management and encryption.
AWS Documentation Reference:
Encrypting Amazon RDS Resources
AWS Key Management Service (KMS)

64. Frage
A company has multiple Amazon VPC endpoints in the same VPC. A developer needs configure an Amazon S3 bucket policy so users can access an S3 bucket only by using these VPC endpoints.
Which solution will meet these requirements?

A. Create a single S3 bucket policy that the multiple aws SourceVpce value and in the SringNotEquals condton to use vpce.
B. Create a single S3 bucket policy that has multiple aws sourceVpce value in the StingNotEquale condition. Repeat for all the VPC endpoint IDs.
C. Create a single S3 bucket policy that has the aws SourceVpc value and in the StingNotEquals condition to use VPC ID.
D. Create multiple S3 bucket polices by using each VPC endpoint ID that have the aws SourceVpce value in the StringNotEquals condition.

Antwort: B

Begründung:
This solution will meet the requirements by creating a single S3 bucket policy that denies access to the S3 bucket unless the request comes from one of the specified VPC endpoints. The aws:SourceVpce condition key is used to match the ID of the VPC endpoint that is used to access the S3 bucket. The StringNotEquals condition operator is used to negate the condition, so that only requests from the listed VPC endpoints are allowed. Option A is not optimal because it will create multiple S3 bucket policies, which is not possible as only one bucket policy can be attached to an S3 bucket. Option B is not optimal because it will use the aws:SourceVpc condition key, which matches the ID of the VPC that is used to access the S3 bucket, not the VPC endpoint. Option C is not optimal because it will use the StringNotEquals condition operator with a single value, which will deny access to the S3 bucket from all VPC endpoints except one.

65. Frage
A social media company is designing a platform that allows users to upload data, which is stored in Amazon S3. Users can upload data encrypted with a public key. The company wants to ensure that only the company can decrypt the uploaded content using an asymmetric encryption key. The data must always be encrypted in transit and at rest.
Options:

A. Use server-side encryption with Amazon S3 managed keys (SSE-S3) to encrypt the data.
B. Use client-side encryption with a customer-managed encryption key to encrypt the data.
C. Use server-side encryption with customer-provided encryption keys (SSE-C) to encrypt the data.
D. Use client-side encryption with a data key to encrypt the data.

Antwort: B

Begründung:
Step 1: Problem Understanding
* Asymmetric Encryption Requirement: Users encrypt data with a public key, and only the company can decrypt it using a private key.
* Data Encryption at Rest and In Transit: The data must be encrypted during upload (in transit) and when stored in Amazon S3 (at rest).
Step 2: Solution Analysis
* Option A: Server-side encryption with Amazon S3 managed keys (SSE-S3).
* Amazon S3 manages the encryption and decryption keys.
* This does not meet the requirement for asymmetric encryption, where the company uses a private key.
* Not suitable.
* Option B: Server-side encryption with customer-provided keys (SSE-C).
* Requires the user to supply encryption keys during the upload process.
* Does not align with the asymmetric encryption requirement.
* Not suitable.
* Option C: Client-side encryption with a data key.
* Data key encryption is symmetric, not asymmetric.
* Does not satisfy the requirement for a public-private key pair.
* Not suitable.
* Option D: Client-side encryption with a customer-managed encryption key.
* Data is encrypted on the client side using the public key.
* Only the company can decrypt the data using the corresponding private key.
* Data remains encrypted during upload (in transit) and in S3 (at rest).
* Correct option.
Step 3: Implementation Steps for Option D
* Generate Key Pair:
* The company generates an RSA key pair (public/private) for encryption and decryption.
* Encrypt Data on Client Side:
* Use the public key to encrypt the data before uploading to S3.
* S3 Upload:
* Upload the encrypted data to S3 over an HTTPS connection.
* Decrypt Data on the Server:
* Use the private key to decrypt data when needed.
AWS Developer References:
* Amazon S3 Encryption Options
* Asymmetric Key Cryptography in AWS

66. Frage
......

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