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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Security	26%	- Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations - Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit
Topic 2: Troubleshooting and Optimization	18%	- Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput - Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems
Topic 3: Deployment	24%	- Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows - Prepare application artifacts for deployment 1. Use infrastructure as code (AWS CloudFormation, AWS SAM) 2. Package code and dependencies - Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks
Topic 4: Development with AWS Services	32%	- Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Develop serverless applications 3. Implement architectural patterns - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - 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 Sample Questions (Q227-Q232):

NEW QUESTION # 227
A developer is implementing an AWS Lambda function that will be invoked when an object is uploaded to Amazon S3. The developer wants to test the Lambda function in a local development machine before publishing the function to a production AWS account.
Which solution will meet these requirements with the LEAST operational overhead?

A. Create a sample JSON text file for a put object S3 event. Invoke the Lambda function locally. Use the aws lambda invoke CLI command with the JSON file and Lambda function name as arguments.
B. Upload an object to Amazon S3 by using the aws s3api put-object CLI command. Wait for the local Lambda invocation from the S3 event.
C. Use the sam local start-lambda CLI command to start Lambda. Use the sam local generate-event s3 put CLI command to create the Lambda test JSON file. Use the sam local invoke CLI command with the JSON file as the argument to invoke the Lambda function.
D. Create a JSON string for the put object S3 event. In the AWS Management Console, use the JSON string to create a test event for the local Lambda function. Perform the test.

Answer: C

Explanation:
AWS SAM CLI is the correct tool for local Lambda testing with realistic event payloads. The developer can use sam local generate-event s3 put to create a sample S3 PutObject event and then pass that event to sam local invoke to run the Lambda function locally. This avoids deploying to production or manually constructing event JSON. Uploading an object to S3 will invoke a Lambda function configured in AWS, not a local function. The aws lambda invoke command invokes a deployed Lambda function, not a local one. The AWS Management Console also tests deployed functions, not local code. AWS SAM documentation confirms that sam local generate-event creates supported AWS service event payloads and sam local invoke invokes Lambda functions locally. ( AWS Documentation )

NEW QUESTION # 228
A developer is creating an AWS CloudFormation template to deploy Amazon EC2 instances across multiple AWS accounts. The developer must choose the EC2 instances from a list of approved instance types.
How can the developer incorporate the list of approved instance types in the CloudFormation template?

A. In the CloudFormation template, create a separate parameter for each EC2 instance type in the list.
B. In the Resources section of the CloudFormation template, create resources for each EC2 instance type in the list.
C. In the CloudFormation template, create a parameter with the list of EC2 instance types as AllowedValues.
D. Create a separate CloudFormation template for each EC2 instance type in the list.

Answer: C

Explanation:
Explanation
In the CloudFormation template, the developer should create a parameter with the list of approved EC2 instance types as AllowedValues. This way, users can select the instance type they want to use when launching the CloudFormation stack, but only from the approved list.

NEW QUESTION # 229
A developer deployed an application to an Amazon EC2 instance The application needs to know the public IPv4 address of the instance How can the application find this information?

A. Query the instance user data from http '169 254.169 254. latest/user-data/
B. Query the instance metadata from http./M69.254.169.254. latestmeta-data/.
C. Query
the Amazon Machine Image (AMI) information from http://169.254.169.254/latest/meta-data/ami/.
D. Check the hosts file of the operating system

Answer: B

Explanation:
* Instance Metadata Service: EC2 instances have access to an internal metadata service. It provides instance-specific information like instance ID, security groups, and public IP address.
* Accessing Metadata:
* Make
an HTTP GET request to the base URL: http://169.254.169.254/latest/meta-data/
* You'll get a list of available categories. The public IPv4 address is under public-ipv4.
References:
Instance Metadata and User Data: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instancedata-data- retrieval.html

NEW QUESTION # 230
A developer owns and supports an application that has database credentials stored in environment variables for AWS Lambda functions. The developer needs an alternate storage method for the credentials instead of using plaintext environment variables. Which solution will handle the credentials MOST securely?

A. Use AWS CloudFormation to deploy the application. Ensure that the NoEcho property is set to true for the parameters that contain the database credentials.
B. Use base64 encoding for the database credentials. Include the database credentials in the Lambda function ' s source code as part of a build process. Update the Lambda function ' s code to decode the credentials before the credentials are used.
C. Store the database credentials as a string-type parameter in AWS Systems Manager Parameter Store.
Set the parameter ' s Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials in the Lambda function.
D. Store the database credentials as a secret in AWS Secrets Manager. Set the secret ' s Amazon Resource Name (ARN) as the value of an environment variable. Use the AWS Parameters and Secrets Lambda Extension to retrieve the credentials in the Lambda function.

Answer: D

Explanation:
The most secure solution is A because AWS Secrets Manager is purpose-built for storing, retrieving, and managing secrets such as database credentials, API keys, and tokens. In AWS guidance, Secrets Manager is recommended when applications need secure secret storage with controlled access, encryption, and integration with runtime retrieval patterns. By storing the credentials as a secret and passing only the secret ARN through an environment variable, the Lambda function avoids exposing the actual username and password in plaintext configuration.
The AWS Parameters and Secrets Lambda Extension is specifically designed to let Lambda functions retrieve secrets securely at invocation time. This reduces the risk of accidental exposure in code, deployment artifacts, or function configuration. Secrets Manager also supports automatic rotation , which is a major security advantage for database credentials and is one of the main reasons AWS recommends it over hardcoded or manually managed values.
Option B is incorrect because base64 is only encoding, not encryption, and embedding credentials in source code is insecure. Option C is less appropriate because a string type parameter in Systems Manager Parameter Store is not the secure choice for sensitive credentials; secure storage there would require SecureString , but even then Secrets Manager is the stronger AWS-recommended service for database secrets. Option D only masks values in CloudFormation outputs and logs with NoEcho ; it does not provide secure runtime secret retrieval or secret lifecycle management.
Therefore, A is the best and most secure answer according to AWS security best practices for Lambda applications handling database credentials.

NEW QUESTION # 231
A developer is building an application that uses Amazon ECS on AWS Fargate to deploy to multiple AWS Regions. The application must have access to database credentials that are stored as a secret in AWS Secrets Manager. The developer must configure the secret to ensure secure and low-latency access in each Region.
Which solution will meet these requirements?

A. Create a secret in the primary Region. Replicate the secret to additional Regions by using the aws
/secretsmanager AWS managed key.
B. Create a secret in each Region independently. Configure cross-account access to the secret for additional Regions.
C. Create a secret in the primary Region. Enable automatic secret rotation.
D. Create a secret in each Region independently. Encrypt each secret by using a customer managed AWS KMS key.

Answer: A

Explanation:
Option A is correct because AWS Secrets Manager supports replicating secrets across multiple AWS Regions. Regional replicas allow workloads in each Region to retrieve the secret locally, reducing latency and improving regional resiliency. This is better than forcing ECS tasks in every Region to call Secrets Manager in only the primary Region. AWS documentation states that when adding replica Regions, a KMS key can be selected in the replica Region, and AWS CLI/API documentation confirms that aws/secretsmanager is the AWS managed key option unless a different KMS key is chosen. Creating separate independent secrets is operationally dangerous because values and rotation state can drift. Rotation alone does not solve cross- Region low-latency access. Cross-account access is unrelated because the requirement is multi-Region, not multi-account.

NEW QUESTION # 232
......

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