Amazon AWS Certified Developer - Associate DVA-C02 Exam Practice Questions (P. 1)

GPT-4o - Answer

The correct choice here is D, which involves using an Amazon S3 bucket with an AWS KMS-managed key for encryption. This approach satisfies the requirements for encryption at rest and in transit and allows for the controlled sharing of access tokens across different AWS accounts through specific S3 bucket policies. This method provides an effective balance between security and ease of management, facilitating the encryption process and access management without extensive overhead. Also, the integration between S3 and KMS is directly supported and streamlined, bypassing any complexities that could arise from other methods like handling customer-managed keys.

GPT-4o - Answer

The best approach to collect EC2 lifecycle events from multiple AWS accounts into a single SQS queue in the main account is through a centralized event handling system. Option D is the most suitable as it allows the aggregation of all events within the main account's EventBridge, which then forwards these events to a singular SQS queue. This method leverages EventBridge's capability to receive events from multiple accounts, ensuring efficient event management and minimizing configuration redundancy across accounts. This centralized approach not only streamlines setup but also simplifies ongoing management and monitoring of events.

GPT-4o - Answer

Using an IAM policy configured with an Amazon Cognito identity prefix is an excellent method to ensure users can access only their folders in Amazon S3. This method leverages built-in AWS mechanisms to manage access, reducing the need for custom code and the associated risks. Such a setup not only reinforces security but also streamlines management by directly linking a user's identity to their access rights, as detailed in AWS documentation and best practices. This approach significantly minimizes potential security risks compared to other options like custom solutions or UI-based controls.

GPT-4o - Answer

To address the requirements of sequential execution and error handling in a scalable data management solution, AWS Step Functions is the optimal choice. This service adeptly handles intricate workflows, managing dependencies and reprocessing needs effectively. It supports automatic error retries that align with the need for robust error handling, ensuring processes continue smoothly even when disruptions occur. AWS Lambda, while powerful for executing code in response to events, lacks inherent capabilities for orchestrating extensive workflows, making Step Functions the more fitting option for this scenario.

GPT-4o - Answer

It looks like there's been some confusion about the correct answer to this Lambda-DynamoDB interaction issue. Upon reviewing the setup, the most plausible reason for a failure in writing data to a DynamoDB table from a Lambda function triggered by S3 would indeed be related to IAM permissions. Lambda functions need explicit permissions to interact with other AWS services, and if the function lacks the necessary permissions to write to DynamoDB, this would result in a failure. DynamoDB tables do not depend on AZ alignment with Lambda, as Lambda functions are designed to operate across multiple Availability Zones ensuring high availability. Therefore, ensure the Lambda function has the appropriate IAM permissions for actions on DynamoDB.

GPT-4o - Answer

When utilizing AWS CloudFormation to manage EC2 instances across multiple accounts, option D is indeed the best practice. By specifying a parameter in the template and defining 'AllowedValues' as a list of approved EC2 instance types, you ensure that users can only launch instances that adhere to your predefined standards. This method enhances control and maintains the integrity of your cloud environment by restricting selections to the approved list, greatly simplifying management and scale operations without increasing template complexity. It’s an efficient way to enforce policies while providing flexibility within controlled parameters.

GPT-4o - Answer

To enhance the resiliency of the application in handling batch requests with DynamoDB when encountering values in the UnprocessedKeys element, two effective strategies can be implemented. Firstly, applying an exponential backoff with a randomized delay will significantly decrease the likelihood of request throttling by distributing the retries over time. This avoids overwhelming the service with repeated requests in quick succession. Secondly, increasing the provisioned read capacity of the affected DynamoDB tables is essential, as frequent appearances of UnprocessedKeys typically indicate that the current capacity is insufficient to manage the volume of data retrieval requested by the application. This combination of retry strategy and capacity adjustment addresses the root causes of the issue, promoting a more robust and efficient interaction with the database.

GPT-4o - Answer

To easily enable X-Ray tracing on on-premises servers with minimal configuration, install and run the AWS X-Ray daemon. This approach leverages the daemon's capability to listen for traffic, gather raw segment data, and efficiently relay it to the AWS X-Ray API without the need for extensive setup or additional code. This ensures that your existing setup requires minimal alterations to integrate with the powerful monitoring and troubleshooting tools offered by AWS X-Ray.

GPT-4o - Answer

Storing API credentials in a local code variable, as suggested by option B, is a common security mispractice due to the high risk of exposure. Instead, AWS Secrets Manager, as described in option A, is specifically designed for secure secret storage and management, seamlessly integrating with the AWS SDK. This method does not affect application performance as it manages and retrieves the credentials securely at runtime. Secrets Manager also ensures that the credentials are encrypted in transit and at rest, greatly minimizing security risks compared to other methods suggested. Thus, option A would be a more appropriate and secure solution for managing API keys.

GPT-4o - Answer

Option B, using AWS Key Management Service (AWS KMS), isn’t the best match for the question’s requirements. AWS KMS is tailored towards key management for encryption and decryption, not for directly storing and managing configuration details like API URLs or credentials. The more fitting approach is through AWS Systems Manager Parameter Store and AWS Secrets Manager as they are designed specifically to manage these types of sensitive information securely. They also facilitate easy integration and retrieval within applications, ensuring simpler management across different environments without frequent changes to the application’s codebase for each setting adjustment.