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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is a certification exam designed for individuals who are interested in becoming certified developers on the Amazon Web Services (AWS) platform. DVA-C02 exam is intended for individuals who have experience in developing and maintaining applications on AWS, as well as those who have a solid understanding of AWS services and architecture. The DVA-C02 exam validates an individual's ability to design, develop, and deploy cloud-based solutions using AWS services and tools.
Amazon DVA-C02 Exam is intended for individuals who have a minimum of one year of experience in developing and maintaining applications on AWS. DVA-C02 exam covers a wide range of topics, including AWS core services, AWS security, AWS deployment and management, AWS databases, AWS developer tools, and AWS cost optimization. DVA-C02 exam is also designed to test the candidate's ability to use AWS services to meet specific business requirements and to troubleshoot and debug issues with AWS applications.
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To take the Amazon DVA-C02 exam, candidates must have at least one year of experience in developing and maintaining applications using AWS technologies. They should also have a good understanding of at least one high-level programming language, such as Java, Python, or Ruby, and be familiar with software development best practices, such as Agile and DevOps. DVA-C02 Exam consists of 65 multiple-choice and multiple-response questions, and candidates have 130 minutes to complete it.
NEW QUESTION # 603
A company is building a serverless application on AWS. The application uses an AWS Lambda function to process customer orders 24 hours a day, 7 days a week. The Lambda function calls an external vendor's HTTP API to process payments.
During load tests, a developer discovers that the external vendor payment processing API occasionally times out and returns errors. The company expects that some payment processing API calls will return errors.
The company wants the support team to receive notifications in near real time only when the payment processing external API error rate exceed 5% of the total number of transactions in an hour. Developers need to use an existing Amazon Simple Notification Service (Amazon SNS) topic that is configured to notify the support team.
Which solution will meet these requirements?
Answer: D
Explanation:
Explanation
Amazon CloudWatch is a service that monitors AWS resources and applications. The developer can publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. The developer can configure a CloudWatch alarm to notify the existing SNS topic when the error rate exceeds 5% of the total number of transactions in an hour. This solution will meet the requirements in a near real-time and scalable way.
References:
[What Is Amazon CloudWatch? - Amazon CloudWatch]
[Publishing Custom Metrics - Amazon CloudWatch]
[Creating Amazon CloudWatch Alarms - Amazon CloudWatch]
NEW QUESTION # 604
A company is building a single-page application. An AWS Lambda function runs the backend logic.
The company wants to use Amazon API Gateway to deploy a single API across multiple environments.
Which combination of steps will meet these requirements? (Choose two.)
Answer: C,E
Explanation:
To use one API across multiple environments in API Gateway, you define the API's routes (HTTP method + path) and attach an integration that invokes your Lambda backend. Then you create separate stages for each environment (for example, dev/test/prod) and use stage variables to dynamically select the correct Lambda target per stage, so the same API definition can point to different environment-specific backends.
NEW QUESTION # 605
A developer maintains an Amazon API Gateway REST API. Customers use the API through a frontend UI and Amazon Cognito authentication. The developer has a new version of the API that contains new endpoints and backward-incompatible interface changes. The developer needs to provide beta access to other developers on the team without affecting customers.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: D
Explanation:
https://docs.aws.amazon.com/apigateway/latest/developerguide/set-up-stages.html
https://docs.aws.amazon.com/apigateway/latest/developerguide/canary-release.html
NEW QUESTION # 606
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: A
Explanation:
Comprehensive Detailed and Lengthy Step-by-Step Explanation with All AWS Developer References:
1. Understanding the Use Case:
The company wants to gradually release a new feature to 15% of users to perform testing. AWS AppConfig is designed to manage and deploy configurations, including feature flags, allowing controlled rollouts.
2. Key AWS AppConfig Features:
* Feature Flags: Enable or disable features dynamically without redeploying code.
* Variants: Define different configurations for subsets of users.
* Targeting Rules: Specify rules for which users receive a particular variant.
3. Explanation of the Options:
* Option A:"Set up a custom script within the application to randomly select 15% of users. Assign a flag for the new feature to the selected users."While possible, this approach requires significant operational effort to manage user selection and ensure randomness. It does not leverage AWS AppConfig's built-in capabilities, which increases overhead.
* Option B:"Create separate AWS AppConfig feature flags for both groups of users. Configure the flags to target 15% of users."Creating multiple feature flags for different user groups complicates configuration management and does not optimize the use of AWS AppConfig.
* Option C:"Create an AWS AppConfig feature flag. Define a variant for the new feature, and create a rule to target 15% of users."This is the correct solution. Using AWS AppConfig feature flags with variants and targeting rules is the most efficient approach. It minimizes operational overhead by leveraging AWS AppConfig's built-in targeting and rollout capabilities.
* Option D:"Use AWS AppConfig to create a feature flag without variants. Implement a custom traffic splitting mechanism in the application code."This approach requires custom implementation within the application code, increasing complexity and operational effort.
4. Implementation Steps for Option C:
* Set Up AWS AppConfig:
* Open the AWS Systems Manager Console.
* Navigate to AppConfig.
* Create a Feature Flag:
* Define a new configuration for the feature flag.
* Add variants (e.g., "enabled" for the new feature and "disabled" for no change).
* Define a Targeting Rule:
* Use percentage-based targeting to define a rule that applies the "enabled" variant to 15% of users.
* Targeting rules can use attributes like user IDs or geographic locations.
* Deploy the Configuration:
* Deploy the configuration using a controlled rollout to ensure gradual exposure.
References:
* AWS AppConfig Documentation
* Feature Flags in AWS AppConfig
* AWS AppConfig Targeting Rules
NEW QUESTION # 607
A developer is creating a serverless application that uses an AWS Lambda function. The developer will use AWS CloudFormation to deploy the application. The application will write logs to Amazon CloudWatch Logs. The developer has created a log group in a CloudFormation template for the application to use. The developer needs to modify the CloudFormation template to make the name of the log group available to the application at runtime.
Which solution will meet this requirement?
Answer: D
NEW QUESTION # 608
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