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Amazon Web Services DVA-C02 Exam With Confidence Using Practice Dumps

Exam Code:
DVA-C02
Exam Name:
AWS Certified Developer - Associate
Certification:
Questions:
519
Last Updated:
Feb 15, 2026
Exam Status:
Stable
Amazon Web Services DVA-C02

DVA-C02: AWS Certified Associate Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Developer - Associate Questions and Answers

Question 1

A company wants to migrate applications from its on-premises servers to AWS. As a first step, the company is modifying and migrating a non-critical application to a single Amazon EC2 instance. The application will store information in an Amazon S3 bucket. The company needs to follow security best practices when deploying the application on AWS.

Which approach should the company take to allow the application to interact with Amazon S3?

Options:

A.

Create an 1AM role that has administrative access to AWS. Attach the role to the EC2 instance.

B.

Create an 1AM user. Attach the AdministratorAccess policy. Copy the generated access key and secret key. Within the application code, use the access key and secret key along with the AWS SDK to communicate with Amazon S3.

C.

Create an 1AM role that has the necessary access to Amazon S3. Attach the role to the EC2 instance.

D.

Create an 1AM user. Attach a policy that provides the necessary access to Amazon S3. Copy the generated access key and secret key. Within the application code, use the access key and secret key along with the AWS SDK to communicate with Amazon S3.

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Question 2

A company is using Amazon API Gateway to invoke a new AWS Lambda function The company has Lambda function versions in its PROD and DEV environments. In each environment, there is a Lambda function alias pointing to the corresponding Lambda function version API Gateway has one stage that is configured to point at the PROD alias

The company wants to configure API Gateway to enable the PROD and DEV Lambda function versions to be simultaneously and distinctly available

Which solution will meet these requirements?

Options:

A.

Enable a Lambda authorizer for the Lambda function alias in API Gateway Republish PROD and create a new stage for DEV Create API Gateway stage variables for the PROD and DEV stages. Point each stage variable to the PROD Lambda authorizer to the DEV Lambda authorizer.

B.

Set up a gateway response in API Gateway for the Lambda function alias. Republish PROD and create a new stage for DEV. Create gateway responses in API Gateway for PROD and DEV Lambda aliases

C.

Use an environment variable for the Lambda function alias in API Gateway. Republish PROD and create a new stage for development. Create API gateway environment variables for PROD and DEV stages. Point each stage variable to the PROD Lambda function alias to the DEV Lambda function alias.

D.

Use an API Gateway stage variable to configure the Lambda function alias Republish PROD and create a new stage for development Create API Gateway stage variables for PROD and DEV stages Point each stage variable to the PROD Lambda function alias and to the DEV Lambda function alias

Question 3

A developer has designed an application to store incoming data as JSON files in Amazon S3 objects. Custom business logic in an AWS Lambda function then transforms the objects, and the Lambda function loads the data into an Amazon DynamoDB table. Recently, the workload has experienced sudden and significant changes in traffic. The flow of data to the DynamoDB table is becoming throttled.

The developer needs to implement a solution to eliminate the throttling and load the data into the DynamoDB table more consistently.

Which solution will meet these requirements?

Options:

A.

Refactor the Lambda function into two functions. Configure one function to transform the data and one function to load the data into the DynamoDB table. Create an Amazon Simple Queue Service (Amazon SQS) queue in between the functions to hold the items as messages and to invoke the second function.

B.

Turn on auto scaling for the DynamoDB table. Use Amazon CloudWatch to monitor the table's read and write capacity metrics and to track consumed capacity.

C.

Create an alias for the Lambda function. Configure provisioned concurrency for the application to use.

D.

Refactor the Lambda function into two functions. Configure one function to store the data in the DynamoDB table. Configure the second function to process the data and update the items after the data is stored in DynamoDB. Create a DynamoDB stream to invoke the second function after the data isstored.