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To earn the Amazon DVA-C02 certification, candidates must pass a 130-minute exam that consists of 65 multiple-choice and multiple-response questions. DVA-C02 exam is available in multiple languages and can be taken online or at a testing center. DVA-C02 exam fee is $150, and candidates must renew their certification every two years to stay up-to-date with the latest AWS technologies and best practices. The Amazon DVA-C02 certification is a valuable credential for developers who want to advance their careers and demonstrate their expertise in AWS application development.

Amazon DVA-C02 Certification Exam is ideal for developers who are already familiar with AWS services and want to enhance their skills in designing and developing AWS applications. AWS Certified Developer - Associate certification validates the knowledge and skills required to build and deploy cloud-based applications using AWS services such as AWS Lambda, Amazon DynamoDB, Amazon S3, and more.

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Amazon AWS Certified Developer - Associate Sample Questions (Q129-Q134):

NEW QUESTION # 129
A developer is building an application that uses an Amazon RDS for PostgreSQL database. To meet security requirements, the developer needs to ensure that data is encrypted at rest. The developer must be able to rotate the encryption keys on demand.

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
A customer-managed AWS Key Management Service (KMS) key allows for encryption at rest and provides the ability to rotate the key on demand. This ensures compliance with security requirements for key management and database encryption.
RDS integrates natively with AWS KMS, allowing the use of a customer-managed key for encrypting data at rest.
Key rotation can be managed directly in AWS KMS without needing custom solutions.
Why Other Options are Incorrect:
Option A: AWS KMS managed encryption keys (AWS-owned keys) do not support key rotation on demand.
Option C & D: Storing keys in AWS Secrets Manager with custom rotation is not a recommended approach for database encryption. AWS KMS is designed specifically for secure key management and encryption.
AWS Documentation Reference:
Encrypting Amazon RDS Resources
AWS Key Management Service (KMS)


NEW QUESTION # 130
A developer has a financial application. The application uses AWS Secrets Manager to manage an Amazon RDS for PostgreSQL database's username and password. The developer needs to rotate the password while maintaining the application's high availability. Which solution will meet these requirements with LEAST development effort?

Answer: B

Explanation:
Requirement Summary:
Secrets managed in AWS Secrets Manager
DB: Amazon RDS for PostgreSQL
Need automated password rotation
Must maintain high availability
Least development effort
Rotation Strategies:
Single-user rotation strategy
Simplest to implement
The secret contains one set of credentials used by app and rotation logic Supports automated rotation AWS provides built-in Lambda rotation templates for RDS A). Alternating-users strategy
## More complex
Requires application to switch users during rotation window
B). Manual secret + CLI rotation
Too much manual work
Not scalable or reliable
C). Multivalue answer rotation
Not a valid strategy in this context
Doesn't apply to Secrets Manager
Secrets Manager rotation strategies: https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating- secrets.html RDS PostgreSQL secret rotation: https://docs.aws.amazon.com/secretsmanager/latest/userguide/rotating- secrets_strategies.html#rotating-secrets-single-user


NEW QUESTION # 131
Users are reporting errors in an application. The application consists of several micro services that are deployed on Amazon Elastic Container Serves (Amazon ECS) with AWS Fargate.
When combination of steps should a developer take to fix the errors? (Select TWO)

Answer: C,E

Explanation:
The combination of steps that the developer should take to fix the errors is to deploy AWS X-Ray as a sidecar container to the microservices and instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. This way, the developer can use AWS X-Ray to analyze and debug the performance of the microservices and identify any issues or bottlenecks. The developer can also use CloudWatch Logs to monitor and troubleshoot the logs from the ECS task and detect any errors or exceptions. The other options either involve using AWS X-Ray as a daemon set, which is not supported by Fargate, or using the PutTraceSegments API call, which is not necessary when using a sidecar container.


NEW QUESTION # 132
When using the AWS Encryption SDK how does the developer keep track of the data encryption keys used to encrypt data?

Answer: B

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.


NEW QUESTION # 133
A developer is testing an application that invokes an AWS Lambda function asynchronously. During the testing phase the Lambda function fails to process after two retries.
How can the developer troubleshoot the failure?

Answer: B

Explanation:
Explanation
This solution allows the developer to troubleshoot the failure by capturing unprocessed events in a queue for further analysis. Dead Letter Queues (DLQs) are queues that store messages that could not be processed by a service, such as Lambda, for various reasons, such as configuration errors, throttling limits, or permissions issues. The developer can configure DLQs for Lambda functions by sending events to either an Amazon Simple Queue Service (SQS) queue or an Amazon Simple Notification Service (SNS) topic. The developer can then inspect the messages in the queue or topic to identify and fix the root cause of the failure.
Configuring AWS CloudTrail logging will not capture invocation failures for asynchronous Lambda invocations, but only record API calls made by or on behalf of Lambda. Configuring Amazon Simple Workflow Service (SWF) or AWS Config will not process any direct unprocessed events, but require additional integration and configuration.


NEW QUESTION # 134
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