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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Security	26%	- Application authentication and authorization 1. IAM roles and policies 2. Cognito user authentication - Data security 1. Encryption using AWS KMS 2. Secure API access patterns
Development with AWS Services	32%	- AWS core services development 1. Amazon DynamoDB integration patterns 2. AWS Lambda functions development 3. Amazon S3 usage in applications - Application development and integration 1. Event-driven architectures with SNS/SQS 2. API Gateway and REST APIs
Deployment	24%	- CI/CD and deployment strategies 1. AWS CodePipeline workflows 2. AWS CodeBuild and CodeDeploy usage - Infrastructure as code 1. AWS CloudFormation templates
Troubleshooting and Optimization	18%	- Monitoring and logging 1. Amazon CloudWatch metrics and logs - Performance optimization 1. Fault tolerance and resilience patterns 2. Application performance tuning

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Amazon AWS Certified Developer - Associate Sample Questions (Q536-Q541):

NEW QUESTION # 536
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. 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.
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. Create parameters for the database credentials in AWS Systems Manager Parameter Store. Set the Type parameter to SecureString. Set up automatic rotation on the parameters.
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:
AWS Secrets Manager is the most secure and purpose-built service for managing database credentials, supporting automatic rotation, encryption at rest, and fine-grained access control.
Using the SecretsManagerRotationTemplate with a Lambda function enables automatic rotation according to a defined schedule, fulfilling both security and policy requirements for RDS, DocumentDB, and Aurora.

NEW QUESTION # 537
When using the AWS Encryption SDK how does the developer keep track of the data encryption keys used to encrypt data?

A. The SDK encrypts me data encryption key and stores it (encrypted) as part of the resumed ophertext.
B. The SDK stores the data encryption keys automaticity in Amazon S3.
C. The data encryption key is stored m the user data for the EC2 instance.
D. The developer must manually keep Hack of the data encryption keys used for each data object.

Answer: A

Explanation:
Explanation
This solution will meet the requirements by using AWS Encryption SDK, which is a client-side encryption library that enables developers to encrypt and decrypt data using data encryption keys that are protected by AWS Key Management Service (AWS KMS). The SDK encrypts the data encryption key with a customer master key (CMK) that is managed by AWS KMS, and stores it (encrypted) as part of the returned ciphertext.
The developer does not need to keep track of the data encryption keys used to encrypt data, as they are stored with the encrypted data and can be retrieved and decrypted by using AWS KMS when needed. Option A is not optimal because it will require manual tracking of the data encryption keys used for each data object, which is error-prone and inefficient. Option C is not optimal because it will store the data encryption keys automatically in Amazon S3, which is unnecessary and insecure as Amazon S3 is not designed for storing encryption keys.
Option D is not optimal because it will store the data encryption key in the user data for the EC2 instance, which is also unnecessary and insecure as user data is not encrypted by default.
References: [AWS Encryption SDK], [AWS Key Management Service]

NEW QUESTION # 538
A developer must securely access a secret during a build process in an AWS CodeBuild project that has an IAM role. The secret must remain encrypted at rest and must be passed to the buildspec.yml file without appearing in the build logs. Which solution will meet these requirements with the LEAST operational overhead?

A. Configure AWS Systems Manager Parameter Store to store the secret. Configure the env section of the buildspec.yml file to have a parameter-store key-value entry that references the parameter.
Grant the CodeBuild IAM role the minimum necessary permissions to access the parameter.
B. Configure AWS Secrets Manager to store the secret. Configure the env section of the buildspec.yml file to have a secrets-manager key-value entry that references the secret. Grant the CodeBuild IAM role the minimum necessary permissions to access the secret.
C. Store the secret in AWS Systems Manager Parameter Store. Use a pre-build step to retrieve the parameter by using AWS CLI commands. Mask the parameter in the buildspec.yml file. Grant the CodeBuild IAM role the minimum necessary permissions to access the parameter.
D. Store the secret in an encrypted Amazon S3 bucket. Download the secret during the build process. Use NoEcho to mask the value of the secret. Grant the CodeBuild IAM role the minimum necessary permissions to access the S3 bucket.

Answer: B

Explanation:
CodeBuild natively injects AWS Secrets Manager values via the buildspec env.secrets-manager mapping, keeping the secret encrypted at rest and automatically masking it from logs with minimal setup and no custom retrieval steps.

NEW QUESTION # 539
A developer migrated a legacy application to an AWS Lambda function. The function uses a third- party service to pull data with a series of API calls at the end of each month. The function then processes the data to generate the monthly reports. The function has been working with no issues so far.
The third-party service recently issued a restriction to allow a fixed number of API calls each minute and each day. If the API calls exceed the limit for each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.
What is the MOST operationally efficient way to refactor the serverless application to accommodate this change?

A. Use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function.
B. Use Amazon Kinesis Data Firehose to batch the API calls and deliver them to an Amazon S3 bucket with an event notification to invoke the Lambda function.
C. Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.
D. Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm that stops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.

Answer: C

Explanation:
Solution (B) is the most operationally efficient way to refactor the serverless application to accommodate this change. This solution allows the Lambda function to continue executing API calls even if the API call limit is reached. The Amazon SQS queue will act as a buffer for API calls that exceed the limit. The Lambda function can then poll the queue within the API limits.

NEW QUESTION # 540
A developer uses AWS CloudFormation to deploy an Amazon API Gateway API and an AWS Step Functions state machine The state machine must reference the API Gateway API after the CloudFormation template is deployed The developer needs a solution that uses the state machine to reference the API Gateway endpoint.
Which solution will meet these requirements MOST cost-effectively?

A. Configure the CloudFormation template to reference the API endpoint in the DefinitionSubstitutions property for the AWS StepFunctions StateMachme resource.
B. Configure the CloudFormation template to store the API endpoint in an environment variable for the AWS::StepFunctions::StateMachine resourc Configure the state machine to reference the environment variable
C. Configure the CloudFormation template to store the API endpoint in a standard AWS::AppConfig;:
ConfigurationProfile resource Configure the state machine to reference the resource.
D. Configure the CloudFormation template to store the API endpoint in a standard AWS: SecretsManager Secret resource Configure the state machine to reference the resource

Answer: A

Explanation:
* CloudFormation and Dynamic References: The DefinitionSubstitutions property in CloudFormation allows you to pass values into Step Functions state machines at runtime.
* Cost-Effectiveness: This solution is cost-effective as it leverages CloudFormation's built-in capabilities, avoiding the need for additional services like Secrets Manager or AppConfig.
References:
* AWS Step Functions State Machine: https://docs.aws.amazon.com/AWSCloudFormation/latest
/UserGuide/aws-resource-stepfunctions-statemachine.html
* CloudFormation DefinitionSubstitutions: https://github.com/aws-cloudformation/aws-cloudformation- resource-providers-stepfunctions/issues/14

NEW QUESTION # 541
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