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Amazon DVA-C02 is an exam that tests the skills and knowledge of candidates who wish to become an AWS Certified Developer - Associate. AWS Certified Developer - Associate certification is ideal for developers who have experience with AWS services and want to demonstrate their expertise in designing, developing, and deploying cloud-based applications using AWS technologies.
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The DVA-C02 exam covers a wide range of topics related to AWS development, including developing and debugging AWS services, deploying AWS applications, and implementing security and compliance measures. DVA-C02 Exam also tests candidates' ability to use AWS services to create scalable and resilient applications, as well as their knowledge of AWS best practices.
NEW QUESTION # 83
A company is building a web application on AWS. When a customer sends a request, the application will generate reports and then make the reports available to the customer within one hour. Reports should be accessible to the customer for 8 hours. Some reports are larger than 1 MB. Each report is unique to the customer. The application should delete all reports that are older than 2 days.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: B
Explanation:
Explanation
This solution will meet the requirements with the least operational overhead because it uses Amazon S3 as a scalable, secure, and durable storage service for the reports. The presigned URL will allow customers to access their reports for a limited time (8 hours) without requiring additional authentication. The S3 Lifecycle configuration rules will automatically delete the reports that are older than 2 days, reducing storage costs and complying with the data retention policy. Option A is not optimal because it will incur additional costs and complexity to store the reports as DynamoDB items, which have a size limit of 400 KB. Option B is not optimal because it will not provide customers with access to their reports within one hour, as Amazon SNS email delivery is not guaranteed. Option D is not optimal because it will require more operational overhead to manage an RDS database and a Lambda function for storing and deleting the reports.
References: Amazon S3 Presigned URLs, Amazon S3 Lifecycle
NEW QUESTION # 84
A developer is building a web application that uses Amazon API Gateway to expose an AWS Lambda function to process requests from clients. During testing, the developer notices that the API Gateway times out even though the Lambda function finishes under the set time limit.
Which of the following API Gateway metrics in Amazon CloudWatch can help the developer troubleshoot the issue? (Choose two.)
Answer: D,E
Explanation:
Amazon API Gateway is a service that enables developers to create, publish, maintain, monitor, and secure APIs at any scale. Amazon CloudWatch is a service that monitors AWS resources and applications. API Gateway provides several CloudWatch metrics to help developers troubleshoot issues with their APIs. Two of the metrics that can help the developer troubleshoot the issue of API Gateway timing out are:
* IntegrationLatency: This metric measures the time between when API Gateway relays a request to the backend and when it receives a response from the backend. A high value for this metric indicates that the backend is taking too long to respond and may cause API Gateway to time out.
* Latency: This metric measures the time between when API Gateway receives a request from a client and when it returns a response to the client. A high value for this metric indicates that either the integration latency is high or API Gateway is taking too long to process the request or response.
References:
* [What Is Amazon API Gateway? - Amazon API Gateway]
* [Amazon API Gateway Metrics and Dimensions - Amazon CloudWatch]
* [Troubleshooting API Errors - Amazon API Gateway]
NEW QUESTION # 85
A company is creating a new feature for existing software. Before the company fully releases a new version of the software, the company wants to test the feature.
The company needs to gather feedback about the feature from a small group of users while the current software version remains deployed. If the testing validates the feature, the company needs to deploy the new software version to all other users at the same time.
Which deployment strategy will meet these requirements?
Answer: A
Explanation:
A canary deployment best matches the requirement to test a new feature with a small group of users while the current version remains deployed for everyone else. In a canary approach, a new application revision is released to a limited portion of traffic/users first. This allows the team to collect real user feedback and validate behavior under production-like conditions without exposing the full user base to risk.
AWS deployment guidance for progressive delivery aligns with this concept: you start by directing a small percentage of requests to the new version, monitor results (such as error rates, latency, and business outcomes), and keep the stable version handling the majority of traffic during the evaluation period. This directly satisfies the requirement that the "current software version remains deployed" while testing occurs.
Once the feature is validated, the canary strategy supports promoting the new revision to the remaining population by shifting traffic from the old version to the new version-commonly ending with a transition to
100% of users on the new version. This satisfies the requirement to deploy to "all other users at the same time" after the small-group validation step is complete.
Why the other options are less suitable:
* All-at-once exposes all users immediately, so there is no limited-user validation phase.
* In-place replaces the existing version on the same infrastructure, typically without maintaining a parallel stable path for a subset of users.
* Linear gradually shifts traffic in fixed increments over time, rather than validating with a small group and then moving the remainder in one step.
NEW QUESTION # 86
A company wants to use AWS AppConfig to gradually deploy a new feature to 15% of users to test the feature before a full deployment.
Which solution will meet this requirement with the LEAST operational overhead?
Answer: B
Explanation:
AWS AppConfig Feature Flags are designed to release features safely with minimal code changes. The lowest operational overhead approach is to use a single feature flag and configure it to deliver the feature to a percentage of users through built-in targeting rules and variants.
With option C, the developer creates one AppConfig feature flag and defines a variant that represents the new feature behavior (for example, enabled=true or a "newExperience" variant). Then the developer creates a rule in AppConfig to target 15% of users. AppConfig feature flags support rules that can evaluate attributes (such as user IDs or other contextual attributes supplied by the application) and apply percentage-based rollout. This avoids building and maintaining custom rollout logic in the application.
Option A and D both require implementing and maintaining custom traffic splitting in code, which increases complexity and operational burden, and risks inconsistent behavior across clients/services.
Option B adds extra configuration overhead and complexity by managing multiple feature flags for "groups" instead of using a single flag with a variant and rule. A single flag with variants is the clean, scalable pattern.
Therefore, create one AppConfig feature flag, define a variant, and configure a rule to target 15% of users.
NEW QUESTION # 87
A company caches session information for a web application in an Amazon DynamoDB table. The company wants an automated way to delete old items from the table.
What is the simplest way to do this?
Answer: B
NEW QUESTION # 88
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