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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q188-Q193):

NEW QUESTION # 188
A company is using Amazon OpenSearch Service to implement an audit monitoring system. A developer needs to create an AWS Cloudformation custom resource that is associated with an AWS Lambda function to configure the OpenSearch Service domain. The Lambda function must access the OpenSearch Service domain by using Open Search Service internal master user credentials.
What is the MOST secure way to pass these credentials to the Lambdas function?

A. Use a CloudFormation parameter to pass the master uses credentials at deployment to the OpenSearch Service domain's MasterUserOptions and the Lambda function's environment varleWe Encrypt the parameters value by using the AWS Key Management Service (AWS KMS) encrypt command.
B. Use a CloudFormation parameter to pass the master user credentials at deployment to the OpenSearch Service domain's MasterUserOptions and the Lambda function's environment variable. Set the No Echo attenuate to true.
C. Use a CloudFormation parameter to pass the master user credentials at deployment to the OpenSearch Service domain's MasterUserOptions and to create a parameter. In AWS Systems Manager Parameter Store. Set the No Echo attribute to true. Create an 1AM role that has the ssm GetParameter permission.
Assign me role to the Lambda function. Store me parameter name as the Lambda function's environment variable. Resolve the parameter's value at runtime.
D. Use CloudFoimalion to create an AWS Secrets Manager Secret. Use a CloudFormation dynamic reference to retrieve the secret's value for the OpenSearch Service domain's MasterUserOptions. Create an 1AM role that has the secrets manager. GetSecretvalue permission. Assign the role to the Lambda Function Store the secrets name as the Lambda function's environment variable. Resole the secret's value at runtime.

Answer: D

Explanation:
The solution that will meet the requirements is to use CloudFormation to create an AWS Secrets Manager secret. Use a CloudFormation dynamic reference to retrieve the secret's value for the OpenSearch Service domain's MasterUserOptions. Create an IAM role that has the secretsmanager:GetSecretValue permission.
Assign the role to the Lambda function. Store the secret's name as the Lambda function's environment variable. Resolve the secret's value at runtime. This way, the developer can pass the credentials to the Lambda function in a secure way, as AWS Secrets Manager encrypts and manages the secrets. The developer can also use a dynamic reference to avoid exposing the secret's value in plain text in the CloudFormation template. The other options either involve passing the credentials as plain text parameters, which is not secure, or encrypting them with AWS KMS, which is less convenient than using AWS Secrets Manager.
Reference: Using dynamic references to specify template values

NEW QUESTION # 189
A developer is building a serverless application by using AWS Serverless Application Model (AWS SAM) on multiple AWS Lambda functions. When the application is deployed, the developer wants to shift 10% of the traffic to the new deployment of the application for the first 10 minutes after deployment. If there are no issues, all traffic must switch over to the new version.
Which change to the AWS SAM template will meet these requirements?

A. Set the Deployment Preference Type to Linear10PercentEvery10Minutes. Set AutoPublishAlias property to the Lambda alias.
B. Set the Deployment Preference Type to Canary10Percent10Minutes. Set the AutoPublishAlias property to the Lambda alias.
C. Set the Deployment Preference Type to Linear10PercentEvery10Minutes. Set PreTraffic and PostTraffic properties to the Lambda alias.
D. Set the Deployment Preference Type to Canary10Percent10Minutes. Set the PreTraffic and PostTraffic properties to the Lambda alias.

Answer: B

NEW QUESTION # 190
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user.
The developer needs to configure the application's resources to retain the IAM user after successful creation.
However, the developer also needs to configure the application to delete the IAM user if the stack rolls back.

A. Update the CloudFormation service role to include the following policy:
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": ["cloudformation:UpdateTerminationProtection"],
"Resource": "*"
}]
}
B. Update the stack policy to include the following statements:
{
"Statement": [{
"Effect": "Deny",
"Action": "Update:*",
"Principal": "*",
"Resource": "*",
"Condition": {
"StringEquals": {
"ResourceType": "AWS::IAM::User"
}
}
}]
}
C. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-09-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: RetainExceptOnCreate
D. Update CloudFormation template with the following deletion policy:
AWSTemplateFormatVersion: '2010-05-09'
Resources:
appUser:
Type: AWS::IAM::User
DeletionPolicy: Retain

Answer: C

Explanation:
* Why Option B is Correct:The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.
* Why Other Options are Incorrect:
* Option A: The Retain policy retains the resource regardless of stack status and does not delete the IAM user upon rollback.
* Option C: Updating the service role for termination protection does not address the specific deletion behavior for the IAM user.
* Option D: Stack policy controls updates, not resource deletion behavior during rollbacks.
* AWS Documentation References:
* CloudFormation DeletionPolicy Attribute

NEW QUESTION # 191
A healthcare company uses AWS Amplify to host a patient management system. The system uses Amazon API Gateway to expose RESTful APIs. The backend logic of the system is handled by AWS Lambda functions.
One of the Lambda functions receives patient data that includes personally identifiable information (PII). The Lambda function sends the patient data to an Amazon DynamoDB table. The company must encrypt all patient data at rest and in transit before the data is stored in DynamoDB.
Which solution will meet these requirements?

A. Use an AWS Step Functions workflow to transfer the data to an Amazon SQS queue. Configure a Lambda function to encrypt the data in the queue before sending the data to the DynamoDB table.
B. Use AWS managed AWS KMS keys to encrypt the data in the DynamoDB table.
C. Configure a DynamoDB stream on the table to invoke a Lambda function. Configure the Lambda function use an AWS KMS key to encrypt the DynamoDB table and to update the table.
D. Configure the Lambda function to use AWS KMS keys with the AWS Database Encryption SDK to encrypt the patient data before sending the data to DynamoDB.

Answer: D

Explanation:
DynamoDB already supports encryption at rest by default (with AWS owned keys or AWS managed
/customer managed KMS keys). However, the requirement here is stronger and explicit: patient data must be encrypted before it is stored in DynamoDB, meaning the encryption must occur client-side / application-side so that the data remains encrypted as it traverses the stack and is still encrypted when written to the table. This is often required for highly sensitive PII/PHI where administrators or downstream systems should not see plaintext.
Option A meets this requirement by encrypting the payload inside the Lambda function before making the PutItem call to DynamoDB, using KMS-backed envelope encryption via the AWS Encryption SDK (the option names it "Database Encryption SDK," but the intent is client-side encryption). The encrypted fields remain ciphertext in transit to DynamoDB and at rest inside DynamoDB, satisfying both "in transit" and "at rest" with encryption happening prior to storage.
Option B only ensures DynamoDB encryption at rest at the service level, but the data would still be plaintext in the item attributes as seen by the application and anyone with DynamoDB read permissions (even though stored encrypted on disk). It does not guarantee "encrypted before stored." Option C encrypting after the write via streams is too late: plaintext would already be stored (and potentially accessed) before post-processing.
Option D adds unnecessary workflow complexity. Encrypting in a queue still requires encryption before DynamoDB, but it does not inherently simplify compared to encrypting directly in the Lambda that writes to DynamoDB.
Therefore, client-side encryption in Lambda using KMS-backed encryption is the correct solution.

NEW QUESTION # 192
A company has an existing application that has hardcoded database credentials A developer needs to modify the existing application The application is deployed in two AWS Regions with an active-passive failover configuration to meet company's disaster recovery strategy The developer needs a solution to store the credentials outside the code. The solution must comply With the company's disaster recovery strategy Which solution Will meet these requirements in the MOST secure way?

A. Store credentials in a config file. Upload the config file to an Amazon Elastic File System (Amazon EFS) file system. Update the application to use the Amazon EFS file system Regional endpoints to access the config file in the primary and secondary Regions.
B. Store credentials in AWS Systems Manager Parameter Store in the primary Region. Enable parameter replication to the secondary Region. Update the application to use the Amazon Resource Name (ARN) based on the Region.
C. Store the credentials in AWS Secrets Manager in the primary Region. Enable secret replication to the secondary Region Update the application to use the Amazon Resource Name (ARN) based on the Region.
D. Store credentials in a config file. Upload the config file to an S3 bucket in me primary Region. Enable Cross-Region Replication (CRR) to an S3 bucket in the secondary region. Update the application to access the config file from the S3 bucket based on the Region.

Answer: C

Explanation:
AWS Secrets Manager is a service that allows you to store and manage secrets, such as database credentials, API keys, and passwords, in a secure and centralized way. It also provides features such as automatic secret rotation, auditing, and monitoring1. By using AWS Secrets Manager, you can avoid hardcoding credentials in your code, which is a bad security practice and makes it difficult to update them. You can also replicate your secrets to another Region, which is useful for disaster recovery purposes2. To access your secrets from your application, you can use the ARN of the secret, which is a unique identifier that includes the Region name. This way, your application can use the appropriate secret based on the Region where it is deployed3.
AWS Secrets Manager
Replicating and sharing secrets
Using your own encryption keys

NEW QUESTION # 193
......

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