2026 DVA-C02: AWS Certified Developer - Associate Authoritative Valid Study Guide

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Amazon DVA-C02: AWS Certified Developer - Associate is a certification exam offered by Amazon Web Services (AWS) for individuals who want to demonstrate their skills and knowledge in developing and maintaining applications on the AWS platform. DVA-C02 Exam is designed to validate an individual's ability to design, develop, and deploy cloud-based applications using AWS services and best practices.

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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.

Amazon AWS Certified Developer - Associate Sample Questions (Q876-Q881):

NEW QUESTION # 876
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?

A. Publish the results of the external payment processing API calls to a new Amazon SNS topic. Subscribe the support team members to the new SNS topic.
B. Publish custom metrics to CloudWatch that record the failures of the external payment processing API calls. Configure a CloudWatch alarm to notify the existing SNS topic when error rate exceeds the specified rate.
C. Write the results of payment processing API calls to Amazon CloudWatch. Use Amazon CloudWatch Logs Insights to query the CloudWatch logs. Schedule the Lambda function to check the CloudWatch logs and notify the existing SNS topic.
D. Write the results of the external payment processing API calls to Amazon S3. Schedule an Amazon Athena query to run at regular intervals. Configure Athena to send notifications to the existing SNS topic when the error rate exceeds the specified rate.

Answer: B

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.
Reference:
[What Is Amazon CloudWatch? - Amazon CloudWatch]
[Publishing Custom Metrics - Amazon CloudWatch]
[Creating Amazon CloudWatch Alarms - Amazon CloudWatch]

NEW QUESTION # 877
A developer is building a serverless application by using AWS Serverless Application Model (AWS SAM) on multiple AWS Lambda functions.
When the application is deployed, the developer wants to shift 10% of the traffic to the new deployment of the application for the first 10 minutes after deployment. If there are no issues, all traffic must switch over to the new version.
Which change to the AWS SAM template will meet these requirements?

A. Set the Deployment Preference Type to LinearlOPercentEvery10Minutes. Set AutoPubIishAIias property to the Lambda alias.
B. Set the Deployment Preference Type to CanaryIOPercentIOMinutes. Set the PreTraffic and PostTraffic properties to the Lambda alias.
C. Set the Deployment Preference Type to LinearlOPercentEveryIOMinutes. Set PreTraffic and Post Traffic properties to the Lambda alias.
D. Set the Deployment Preference Type to Canary10Percent10Minutes. Set the AutoPublishAlias property to the Lambda alias.

Answer: D

Explanation:
The AWS Serverless Application Model (AWS SAM) comes built-in with CodeDeploy to provide gradual AWS Lambda deployments1. The DeploymentPreference property in AWS SAM allows you to specify the type of deployment that you want. The Canary10Percent10Minutes option means that 10 percent of your customer traffic is immediately shifted to your new version. After 10 minutes, all traffic is shifted to the new version1. The AutoPublishAlias property in AWS SAM allows AWS SAM to automatically create an alias that points to the updated version of the Lambda function1. Therefore, option A is correct.

NEW QUESTION # 878
A developer has built an application running on AWS Lambda using AWS Serverless Application Model (AWS SAM).
What is the correct sequence of steps to successfully deploy the application?

A. 1. Build the SAM template locally.
2. Package the SAM template from AWS CodeCommit.
3. Deploy the SAM template to CodeCommit.
B. 1. Build the SAM template locally.
2. Package the SAM template onto Amazon S3.
3. Deploy the SAM template from Amazon S3.
C. 1. Build the SAM template locally.
2. Deploy the SAM template from Amazon S3.
3. Package the SAM template for use.
D. 1. Build the SAM template in Amazon EC2.
2. Package the SAM template to Amazon EBS storage.
3. Deploy the SAM template from Amazon EBS.

Answer: B

NEW QUESTION # 879
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?

A. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
B. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.
C. Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
D. Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.

Answer: B

Explanation:
Amazon S3 is a service that provides highly scalable, durable, and secure object storage. The developer can create an S3 bucket to host the repository and migrate the existing .xml files to the S3 bucket. The developer can update the application code to use the AWS SDK to read and write configuration files from S3. This solution will meet the requirement of high availability for the repository in a cost-effective way.
Reference:
[Amazon Simple Storage Service (S3)]
[Using AWS SDKs with Amazon S3]

NEW QUESTION # 880
A developer is using an AWS CloudFormation template to create a pipeline in AWS CodePipeline. The template creates an Amazon S3 bucket that the pipeline references in a source stage. The template also creates an AWS CodeBuild project for a build stage. The pipeline sends notifications to an Amazon SNS topic. Logs for the CodeBuild project are stored in Amazon CloudWatch Logs.
The company needs to ensure that the pipeline's artifacts are encrypted with an existing customer-managed AWS KMS key. The developer has granted the pipeline permissions to use the KMS key.
Which additional step will meet these requirements?

A. Configure the notification topic to use the existing KMS key to enable encryption with the existing KMS key.
B. In the CloudFormation template, use the KMS key to encrypt the logs in CloudWatch Logs.
C. Apply an S3 bucket policy that ensures the pipeline sends only encrypted objects to the S3 bucket.
D. Create an Amazon S3 gateway endpoint that the pipeline can access.

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option C is Correct:
Ensuring that pipeline artifacts are encrypted with a customer-managed AWS KMS key involves configuring the S3 bucket policy to require encryption. This policy ensures all objects uploaded to the bucket are encrypted with the specified KMS key.
Why Other Options are Incorrect:
Option A: A gateway endpoint improves S3 access efficiency but does not enforce encryption.
Option B: Encrypting CloudWatch Logs is unrelated to securing pipeline artifacts.
Option D: Configuring SNS for encryption does not affect the artifacts stored in the S3 bucket.
AWS Documentation Reference:
Using Server-Side Encryption with S3 Bucket Policies

NEW QUESTION # 881
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