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Amazon DVA-C02 (AWS Certified Developer - Associate) Exam is designed for developers who want to build and maintain applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification validates the candidate's ability to develop, deploy, and debug cloud-based applications using AWS services and tools. DVA-C02 Exam Tests the candidate's knowledge of core AWS services such as Elastic Compute Cloud (EC2), Simple Storage Service (S3), and Relational Database Service (RDS), as well as their ability to use AWS SDKs and APIs to write applications in languages such as Java, Python, and JavaScript.
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The DVA-C02 exam is an associate-level certification, which means that candidates should have a good understanding of AWS services and be able to demonstrate their knowledge of AWS best practices. DVA-C02 exam covers a wide range of topics, including AWS core services, security, and deployment. It also covers topics such as how to design and develop scalable AWS applications, how to troubleshoot issues, and how to optimize application performance.
Amazon DVA-C02 (AWS Certified Developer - Associate) Certification Exam is a professional certification offered by Amazon Web Services (AWS) to developers who want to demonstrate their expertise in designing, developing, and deploying cloud-based applications on the AWS platform. AWS Certified Developer - Associate certification is designed for individuals who have a minimum of one year of experience in developing and maintaining AWS-based applications.
NEW QUESTION # 118
A 3D printing company has developed a proof-of-concept application that is running on AWS Elastic Beanstalk. The application displays a list of products that are available for 3D printing, in addition to any available customizations. When the company deploys new versions of the application, the company wants to ensure that there is no application downtime. Additionally, the application must remain at the same level of server capacity throughout the deployment. Which deployment strategies will meet these requirements? (Choose two.)
Answer: C,D
Explanation:
Rolling with additional batch: Adds an extra batch of instances during deployment, so existing instances continue serving traffic while the new version is deployed and tested.
Immutable: Launches a full set of new instances with the new version alongside the existing ones. Only after the new instances pass health checks are they swapped in, ensuring zero downtime and unchanged capacity.
NEW QUESTION # 119
A company has a serverless application that uses an Amazon API Gateway API to invoke an AWS Lambda function. A developer creates a fix for a defect in the Lambda function code. The developer wants to deploy this fix to the production environment. To test the changes, the developer needs to send 10% of the live production traffic to the updated Lambda function version.
Options:
Answer: B,D
Explanation:
Step 1: Understanding the Requirements
* Gradual Traffic Shift:Test the new version by routing only 10% of production traffic to it.
* Lambda Deployment:Use versioning and aliases to manage Lambda function updates.
Step 2: Solution Analysis
* Option A:
* Publishing a new version creates an immutable version of the Lambda function with the updated code.
* This is a prerequisite for deploying changes using weighted aliases.
* Correct option.
* Option B:
* API Gateway stages are not used for weighted routing; they represent environments like "dev" or
"prod."
* Weighted routing is implemented using Lambda aliases, not API Gateway stages.
* Not suitable.
* Option C:
* Lambda aliases allow traffic to be split between versions using weighted routing.
* Assign a 90% weight to the old version and 10% to the new version to implement the gradual rollout.
* Correct option.
* Option D:
* Network Load Balancers are not suitable for managing Lambda function traffic directly.
* Not applicable.
* Option E:
* Route 53 routing policies apply at the DNS level and are not designed for Lambda version management.
* Not suitable.
Step 3: Implementation Steps
* Publish a New Version:
* Publish the updated Lambda function code as a new version.
* Create an Alias and Configure Weighted Routing:
* Create an alias (e.g., prod) and associate it with both the old and new versions.
* Set weights for traffic distribution:
aws lambda update-alias --function-name my-function \
--name prod --routing-config '{"AdditionalVersionWeights": {"2": 0.1}}' AWS Developer References:
* Lambda Function Aliases
* Weighted Traffic Routing with Lambda
NEW QUESTION # 120
A developer is migrating an application to Amazon Elastic Kubernetes Service (Amazon EKS). The developer migrates the application to Amazon Elastic Container Registry (Amazon ECR) with an EKS cluster.
As part of the application migration to a new backend, the developer creates a new AWS account. The developer makes configuration changes to the application to point the application to the new AWS account and to use new backend resources. The developer successfully tests the changes within the application by deploying the pipeline.
The Docker image build and the pipeline deployment are successful, but the application is still connecting to the old backend. The developer finds that the application's configuration is still referencing the original EKS cluster and not referencing the new backend resources.
Which reason can explain why the application is not connecting to the new resources?
Answer: B
Explanation:
The correct answer is C. The developer did not update the Docker image tag to a new version.
C: The developer did not update the Docker image tag to a new version. This is correct. When deploying an application to Amazon EKS, the developer needs to specify the Docker image tag that contains the application code and configuration. If the developer does not update the Docker image tag to a new version after making changes to the application, the EKS cluster will continue to use the old Docker image tag that references the original backend resources. To fix this issue, the developer should update the Docker image tag to a new version and redeploy the application to the EKS cluster.
A: The developer did not successfully create the new AWS account. This is incorrect. The creation of a new AWS account is not related to the application's connection to the backend resources. The developer can use any AWS account to host the EKS cluster and the backend resources, as long as they have the proper permissions and configurations.
B: The developer added a new tag to the Docker image. This is incorrect. Adding a new tag to the Docker image is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.
D: The developer pushed the changes to a new Docker image tag. This is incorrect. Pushing the changes to a new Docker image tag is not enough to deploy the changes to the application. The developer also needs to update the Docker image tag in the EKS cluster configuration, so that the EKS cluster can pull and run the new Docker image.
References:
* 1: Amazon EKS User Guide, "Deploying applications to your Amazon EKS cluster", https://docs.aws.
amazon.com/eks/latest/userguide/deploying-applications.html
* 2: Amazon ECR User Guide, "Pushing an image", https://docs.aws.amazon.com/AmazonECR/latest
/userguide/docker-push-ecr-image.html
* 3: Amazon EKS User Guide, "Updating an Amazon EKS cluster", https://docs.aws.amazon.com/eks
/latest/userguide/update-cluster.html
NEW QUESTION # 121
A developer is building an AWS Step Functions state machine that invokes an AWS Lambda function. The Lambda function makes requests to an external API that sometimes is not available. The developer needs to implement retry logic in the state machine to handle situations when the external API is not available. Which combination of steps will meet these requirements?
(Choose two.)
Answer: A,E
Explanation:
A retrier with the parameters ErrorEquals, IntervalSeconds, MaxAttempts, and BackoffRate implements retry logic for transient failures.
A catcher with the parameters FallbackState and Errors handles errors after retries fail by routing to a fallback state for error handling or compensation.
NEW QUESTION # 122
A developer has built an application that inserts data into an Amazon DynamoDB table. The table is configured to use provisioned capacity. The application is deployed on a burstable nano Amazon EC2 instance. The application logs show that the application has been failing because of a ProvisionedThroughputExceededException error.
Which actions should the developer take to resolve this issue? (Select TWO.)
Answer: A,D
Explanation:
Requirement Summary:
DynamoDB Provisioned Mode
ProvisionedThroughputExceededException error occurring
App hosted on a small burstable EC2 instance
Option A: Move to a larger EC2 instance
May improve local performance, but does not solve DynamoDB provisioned throughput limits.
Option B: Increase DynamoDB RCUs
Valid: This directly increases the read throughput capacity of the table.
Helps handle more traffic and reduce throughput exceptions.
Option C: Reduce frequency via exponential backoff
Best practice: Using exponential backoff and jitter reduces request pressure and spreads retries out to avoid spiking.
Option D: Increase frequency of retries by reducing delay
Opposite of best practice. Increases load, worsening the issue.
Option E: Change to on-demand mode
Also valid in general, but question is scoped around provisioned capacity.
Since minimizing cost or workload type isn't mentioned, and scaling the existing model is the focus, prefer B and C.
ProvisionedThroughputExceededException: https://docs.aws.amazon.com/amazondynamodb/latest
/developerguide/HandlingErrors.html
Exponential backoff: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.
Errors.html
Capacity modes: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.
ReadWriteCapacityMode.html
NEW QUESTION # 123
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