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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q623-Q628):

NEW QUESTION # 623
A company hosts its application on AWS. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The cluster runs behind an Application Load Balancer The application stores data in an Amazon Aurora database A developer encrypts and manages database credentials inside the application The company wants to use a more secure credential storage method and implement periodic credential rotation.
Which solution will meet these requirements with the LEAST operational overhead?

A. Migrate the credentials to ECS Fargate environment variables. Encrypt the credentials by using an AWS Key Management Service (AWS KMS) key Turn on secret rotation. Use 1AM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager.
B. Migrate the credentials to AWS Secrets Manager. Encrypt the credentials by using an AWS Key Management Service (AWS KMS) key Turn on secret rotation Use 1AM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager by using keys.
C. Migrate the secret credentials to Amazon RDS parameter groups. Encrypt the parameter by using an AWS Key Management Service (AWS KMS) key Turn on secret rotation. Use 1AM policies and roles to grant AWS KMS permissions to access Amazon RDS.
D. Migrate the credentials to AWS Systems Manager Parameter Store. Encrypt the parameter by using an AWS Key Management Service (AWS KMS) key. Turn on secret rotation. Use 1AM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager

Answer: B

NEW QUESTION # 624
A developer is building an application that needs to store an API key. An AWS Lambda function needs to use the API key. The developer's company requires secrets to be encrypted at rest by an AWS KMS key. The company must control key rotation.
Which solutions will meet these requirements? (Select TWO.)

A. Store the API key in a Lambda environment variable. Encrypt the environment variable with an AWS managed KMS key.
B. Store the API key as an AWS Systems Manager Parameter Store String parameter.
C. Store the API key in a Lambda environment variable. Encrypt the environment variable with a customer managed KMS key.
D. Store the API key as an AWS Secrets Manager secret. Encrypt the secret with an AWS managed KMS key.
E. Store the API key as an AWS Systems Manager Parameter Store SecureString parameter. Encrypt the parameter with a customer managed KMS key.

Answer: C,E

Explanation:
The requirements are: (1) store an API key that a Lambda function will use, (2) ensure the secret is encrypted at rest using AWS KMS, and (3) the company must control key rotation, which implies using a customer managed KMS key (CMK) rather than an AWS managed key.
Option C meets the requirements by storing the API key in AWS Systems Manager Parameter Store as a SecureString parameter encrypted with a customer managed KMS key. SecureString is designed for sensitive configuration data and integrates with KMS so the organization can choose the CMK, manage its lifecycle, and control rotation policies. The Lambda function can retrieve the parameter at runtime using the AWS SDK, and IAM policies can tightly control access to the parameter and to the KMS key.
Option E also meets the requirements by storing the API key in a Lambda environment variable encrypted with a customer managed KMS key. Lambda encrypts environment variables at rest and allows you to specify a customer managed KMS key for encryption. This gives the company control over key rotation and key policy, satisfying the "must control key rotation" requirement. The function reads the value from the environment at runtime without additional network calls.
Why the other options fail:
* A uses an AWS managed KMS key, which does not satisfy the requirement for the company to control rotation (you cannot manage rotation of AWS managed keys in the same way).
* B is a plain String parameter, which is not encrypted as a secret and does not meet the at-rest encryption requirement.
* D uses an AWS managed KMS key, again failing the company-controlled rotation requirement.
Therefore, the two valid solutions are C (Parameter Store SecureString with a customer managed CMK) and E (Lambda environment variable encrypted with a customer managed CMK).

NEW QUESTION # 625
A developer is designing an event-driven architecture. An AWS Lambda function that processes data needs to push processed data to a subset of four consumer Lambda functions. The data must be routed based on the value of one field in the data. Which solution will meet these requirements with the LEAST operational overhead?

A. Create an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the four consumer Lambda functions to the topic. Add message filtering logic to each consumer Lambda function.
Subscribe the data-processing Lambda function to the SNS topic.
B. Create an Amazon Simple Queue Service (Amazon SQS) queue and event source mapping for each consumer Lambda function. Add message routing logic to the data-processing Lambda function.
C. Create a separate Amazon Simple Notification Service (Amazon SNS) topic and subscription for each consumer Lambda function. Add message routing logic to the data-processing Lambda function to publish to the appropriate topic.
D. Create a single Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the four consumer Lambda functions to the topic. Add SNS subscription filter policies to each subscription.Configure the data-processing Lambda function to publish to the topic.

Answer: D

Explanation:
Single SNS topic with subscription filter policies is the most efficient solution with the least operational overhead. By using a single SNS topic and configuring subscription filter policies on each consumer Lambda function, you can route messages based on specific fields in the data without adding any additional processing logic inside the Lambda functions. SNS filters allow you to match specific message attributes and route the data to the correct consumer Lambda functions efficiently.

NEW QUESTION # 626
A developer built an application by using multiple AWS Lambda functions. The Lambda functions must access dynamic configuration data at runtime. The data is maintained as a 6 KB JSON document in AWS AppConfig. The configuration data needs to be updated without requiring the redeployment of the application.
The developer needs a solution that will give the Lambda functions access to the dynamic configuration data.
What should the developer do to meet these requirements with the LEAST development effort?

A. Use the AWS X-Ray SDK to call the AWS AppConfig APIs. Retrieve the configuration file at runtime.
B. Migrate the document from AWS AppConfig to a Lambda environment variable. Read the document at the runtime.
C. Configure the AWS AppConfig Agent Lambda extension. Access the dynamic configuration data by calling the extension on a local host.
D. Migrate the configuration file to a Lambda deployment package. Read the file from the file system at runtime.

Answer: C

NEW QUESTION # 627
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 CloudFormation stack is deployed. Which combination of steps will meet these requirements? (Choose two.)

A. 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.
B. Add the state machine as a target of the EventBridge rule.
C. Create an AWS Lambda function to invoke the state machine.
D. 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.
E. Create a pipe in Amazon EventBridge Pipes that has a source of the EventBridge rule. Set the state machine as a target.

Answer: B,D

Explanation:
Amazon EventBridge can match AWS CloudFormation stack status change events for a specific stack and then directly start an AWS Step Functions state machine as the target. This removes the need for intermediary components such as Lambda and provides the simplest event-driven way to run the tests when the matching stack deployment event occurs.

NEW QUESTION # 628
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