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Valid Exam DVA-C02 Preparation | Certification DVA-C02 Exam Dumps

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Amazon DVA-C02 (AWS Certified Developer - Associate) certification exam is designed for individuals who have experience in developing and maintaining applications on the Amazon Web Services (AWS) platform. AWS Certified Developer - Associate certification validates the individual's ability to design, deploy, and maintain AWS-based applications using various AWS services and tools.

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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To prepare for the Amazon DVA-C02 exam, candidates are recommended to have at least one year of experience in developing and maintaining applications on AWS. They can also take advantage of the training and resources provided by AWS, such as online courses, practice exams, and study guides. Passing the Amazon DVA-C02 Exam requires a score of at least 720 out of 1000, and the certification is valid for two years. Overall, the Amazon DVA-C02 certification is a valuable credential for developers who want to advance their careers in cloud computing and demonstrate their expertise in AWS.

Amazon AWS Certified Developer - Associate Sample Questions (Q218-Q223):

NEW QUESTION # 218
A company is building a new application that runs on AWS and uses Amazon API Gateway to expose APIs. Teams of developers are working on separate components of the application in parallel. The company wants to publish an API without an integrated backend so that teams that depend on the application backend can continue the development work before the API backend development is complete.
Which solution will meet these requirements?

A. Create an EC2 application that returns mocked HTTP responses. Create API Gateway resources and set the integration type value to AWS. Create an API Gateway stage and deploy the API.
B. Create an AWS Lambda function that returns mocked responses and various HTTP status codes.
Create API Gateway resources and set the integration type value to AWS_PROXY. Deploy the API.
C. Create API Gateway resources and set the integration type value to MOCK. Configure the method integration request and integration response to associate a response with an HTTP status code. Create an API Gateway stage and deploy the API.
D. Create API Gateway resources and set the integration type value set to HTTP_PROXY. Add mapping templates and deploy the API. Create an AWS Lambda layer that returns various HTTP status codes. Associate the Lambda layer with the API deployment.

Answer: C

NEW QUESTION # 219
A developer must use multi-factor authentication (MFA) to access data in an Amazon S3 bucket that is in another AWS account. Which AWS Security Token Service (AWS STS) API operation should the developer use with the MFA information to meet this requirement?

A. GetFederationToken
B. AssumeRoleWithWebidentity
C. AssumeRole
D. AssumeRoleWithSAML

Answer: C

Explanation:
* AWS STS AssumeRole: The central operation for assuming temporary security credentials, commonly used for cross-account access.
* MFA Integration: The AssumeRole call can include MFA information to enforce multi-factor authentication.
* Credentials for S3 Access: The returned temporary credentials would provide the necessary permissions to access the S3 bucket in the other account.

NEW QUESTION # 220
A company has built an AWS Lambda function to convert large image files into output files that can be used in a third-party viewer application. The company recently added a new module to the function to improve the output of the generated files. However, the new module has increased the bundle size and has increased the time that is needed to deploy changes to the function code.
How can a developer increase the speed of the Lambda function deployment?

A. Use Amazon S3 to host the function dependencies.
B. Increase the memory size of the function.
C. Use Lambda layers to package and load dependencies.
D. Use AWS CodeDeploy to deploy the function code.

Answer: A

NEW QUESTION # 221
A developer writes an AWS Lambda function that processes new object uploads to an Amazon S3 bucket.
The Lambda function runs for approximately 30 seconds. The function runs as expected under normal load conditions. Other Lambda functions in the AWS account also run as expected.
Occasionally, up to 500 new objects are written to the bucket every minute. Each new object write invokes the processing Lambda function during the high-volume periods through an event notification.
The developer must ensure that the processing function continues to run as expected during the high-volume periods.
Which solution will meet this requirement?

A. Decrease the function's memory allocation.
B. Add an additional Lambda layer to optimize the code execution.
C. Configure a reserved concurrency quota for the function.
D. Modify the function's timeout setting.

Answer: C

Explanation:
Amazon S3 event notifications can invoke AWS Lambda functions at very high rates during traffic spikes. In this scenario, up to 500 objects per minute can result in hundreds of concurrent Lambda invocations. By default, Lambda functions share the account's unreserved concurrency pool, which can cause throttling if the pool is exhausted by sudden bursts.
AWS Lambda reserved concurrency guarantees a specific number of concurrent executions for a function.
By configuring reserved concurrency, the developer ensures that sufficient execution capacity is always available for this specific function, regardless of other Lambda workloads in the account. This prevents throttling during high-volume S3 event bursts.
Increasing the timeout (Option A) does not address concurrency limits. Adding a layer (Option B) does not solve invocation throttling. Decreasing memory (Option D) can actually worsen performance and increase execution time.
AWS documentation explicitly recommends reserved concurrency when workloads experience unpredictable or bursty invocation patterns and must run reliably. Therefore, reserving concurrency is the correct and AWS- recommended solution.

NEW QUESTION # 222
A company has a website that is developed in PHP and is launched using AWS Elastic Beanstalk. There is a new version of the website that needs to be deployed in the Elastic Beanstalk environment. The company cannot tolerate having the website offline if an update fails. Deployments must have minimal impact and rollback as soon as possible.

A. Immutable
B. Snapshots
C. All at once
D. Rolling

Answer: A

Explanation:
The Immutable deployment method is the best choice when a company requires minimal downtime and automatic rollback in case of a failure. Here's why:
In Immutable deployments, a new set of instances is launched with the updated version. These instances are tested and validated before they replace the old instances. This ensures zero downtime and immediate rollback if the deployment fails.
All at once (A) causes downtime because the update replaces all instances simultaneously.
Rolling deployments (B) update a few instances at a time, but if a failure occurs midway, downtime or partial unavailability can happen.
Snapshots (C) are not a deployment strategy in Elastic Beanstalk.
Reference:
Elastic Beanstalk Deployment Policies
Reference:
Elastic Beanstalk Deployment Policies

NEW QUESTION # 223
......

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