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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q512-Q517):

NEW QUESTION # 512
A developer is migrating a containerized application from an on-premises environment to an Amazon ECS cluster.
In the on-premises environment, the container uses a Docker file to store the application. Service dependency configurations such as databases, caches, and storage volumes are stored in a docker-compose.yml file.
Both files are located at the top level of the code base that the developer needs to containerize. When the developer deploys the code to Amazon ECS, the instructions from the Docker file are carried out. However, none of the configurations from docker-compose.yml are applied.
The developer needs to resolve the error and ensure the configurations are applied.

A. Update the service type of the ECS cluster to REPLICA, and redeploy the stack.
B. Store the file path for the docker-compose.yml file as a Docker label. Add the label to the ECS cluster's container details.
C. Add the details from the docker-compose.yml file to an ECS task definition. Associate the task with the ECS cluster.
D. Create a namespace in the ECS cluster. Associate the docker-compose.yml file to the namespace.

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option B is Correct:Amazon ECS does not natively process docker-compose.yml files. Instead, the configurations from docker-compose.yml must be converted into ECS-compatible configurations within a task definition. Task definitions are the primary way to specify container configurations in ECS, including service dependencies like databases, caches, and volumes.
* Steps to Resolve the Error:
* Extract the configurations from the docker-compose.yml file.
* Map the dependencies and settings to the appropriate ECS task definition fields.
* Deploy the task definition to the ECS cluster.
* Why Other Options are Incorrect:
* Option A: Docker labels do not directly impact ECS task execution or integrate with ECS service configurations.
* Option C: ECS namespaces do not exist as a feature.
* Option D: Changing the service type to REPLICA does not resolve the issue of missing service dependency configurations.
* AWS Documentation References:
* Amazon ECS Task Definitions
* Migrating Docker Compose Workloads to ECS

NEW QUESTION # 513
A company is offering APIs as a service over the internet to provide unauthenticated read access to statistical information that is updated daily. The company uses Amazon API Gateway and AWS Lambda to develop the APIs. The service has become popular, and the company wants to enhance the responsiveness of the APIs.
Which action can help the company achieve this goal?

A. Enable cross-origin resource sharing (CORS) for the APIs.
B. Configure usage plans and API keys in API Gateway.
C. Configure API Gateway to use an interface VPC endpoint.
D. Enable API caching in API Gateway.

Answer: D

Explanation:
Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. The developer can enable API caching in API Gateway to cache responses from the backend integration point for a specified time-to-live (TTL) period. This can improve the responsiveness of the APIs by reducing the number of calls made to the backend service.

NEW QUESTION # 514
A developer is debugging an application that uses an AWS Lambda function. The function intermittently fails during a 1-hour window. Logs are sent to an Amazon CloudWatch Logs log group. The developer must collect logs related to failures and capture the dates and times of those failures.
Which solution will meet these requirements in the MOST operationally efficient way?

A. Use AWS CLI commands in AWS CloudShell to manually browse the log group.
B. Download log files locally and search them with a text editor.
C. Export the log group to Amazon S3 and query it with Amazon Athena.
D. Use CloudWatch Logs Insights to query the log group for error patterns.

Answer: D

Explanation:
Amazon CloudWatch Logs Insights is a purpose-built log analytics tool that allows developers to run interactive queries directly against CloudWatch Logs. AWS documentation highlights Logs Insights as the fastest and most efficient way to search, filter, and analyze log data without exporting it.
Logs Insights queries can filter error messages, extract timestamps, and aggregate failure counts over specific time windows. This directly satisfies the requirement to identify when intermittent failures occurred and what errors caused them.
Manual browsing (Option A) and local downloads (Option C) are time-consuming and do not scale. Exporting logs to S3 and querying with Athena (Option D) introduces unnecessary infrastructure and operational overhead.
Therefore, CloudWatch Logs Insights is the most operationally efficient solution.

NEW QUESTION # 515
A company uses Amazon SNS for messaging. A developer must prevent personal data, such as credit card numbers, from being sent to specific subscribers of the SNS topic. Which solution will meet this requirement?

A. Configure SNS message data protection. Create data protection policies on the SNS topic to prevent personal data from reaching specific subscribers.
B. Implement SNS rules on the SNS topic's subscriptions. Add event patterns to prevent personal data from reaching specific subscribers.
C. Enable Amazon Macie for the SNS topic. Use Macie to scan messages for personal data and to prevent personal data from reaching specific subscribers.
D. Implement SNS subscription filters on the SNS topic's subscriptions. Add string value matching patterns to prevent personal data from reaching specific subscribers.

Answer: A

Explanation:
Amazon SNS message data protection allows you to detect and control the flow of sensitive data such as credit card numbers using built-in data identifiers. By configuring data protection policies on the SNS topic, you can audit, mask, or block messages containing personal data before they are delivered to subscribers, ensuring that sensitive information is not exposed.

NEW QUESTION # 516
A company needs to set up secure database credentials for all its AWS Cloud resources. The company's resources include Amazon RDS DB instances Amazon DocumentDB clusters and Amazon Aurora DB instances. The company's security policy mandates that database credentials be encrypted at rest and rotated at a regular interval.
Which solution will meet these requirements MOST securely?

A. Create parameters for the database credentials in AWS Systems Manager Parameter Store Set the Type parameter to Secure Sting. Set up automatic rotation on the parameters.
B. Set up IAM database authentication for token-based access. Generate user tokens to provide centralized access to RDS DB instances. Amazon DocumentDB clusters and Aurora DB instances.
C. Store the database access credentials as an encrypted Amazon S3 object in an S3 bucket Block all public access on the S3 bucket. Use S3 server-side encryption to set up automatic rotation on the encryption key.
D. Create an AWS Lambda function by using the SecretsManagerRotationTemplate template in the AWS Secrets Manager console. Create secrets for the database credentials in Secrets Manager Set up secrets rotation on a schedule.

Answer: D

Explanation:
This solution will meet the requirements by using AWS Secrets Manager, which is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can create an AWS Lambda function by using the SecretsManagerRotationTemplate template in the AWS Secrets Manager console, which provides a sample code for rotating secrets for RDS DB instances, Amazon DocumentDB clusters, and Amazon Aurora DB instances. The developer can also create secrets for the database credentials in Secrets Manager, which encrypts them at rest and provides secure access to them. The developer can set up secrets rotation on a schedule, which changes the database credentials periodically according to a specified interval or event.
Option A is not optimal because it will set up IAM database authentication for token-based access, which may not be compatible with all database engines and may require additional configuration and management of IAM roles or users. Option B is not optimal because it will create parameters for the database credentials in AWS Systems Manager Parameter Store, which does not support automatic rotation of secrets. Option C is not optimal because it will store the database access credentials as an encrypted Amazon S3 object in an S3 bucket, which may introduce additional costs and complexity for accessing and securing the data.
References: [AWS Secrets Manager], [Rotating Your AWS Secrets Manager Secrets]

NEW QUESTION # 517
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