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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Development with AWS Services	32%	- Use data stores in application development 1. Amazon ElastiCache 2. Amazon EFS 3. Amazon RDS 4. Amazon DynamoDB 5. Amazon S3 - Develop code for applications hosted on AWS 1. AWS CLI 2. Amazon SNS 3. Amazon SQS 4. Amazon Cognito 5. Amazon DynamoDB 6. AWS CloudFormation 7. AWS Lambda 8. Amazon S3 9. Amazon API Gateway 10. AWS SDKs - Develop code for AWS serverless applications 1. AWS AppSync 2. Amazon EventBridge 3. Amazon API Gateway 4. AWS Step Functions
Security	26%	- Implement encryption by using AWS services 1. AWS KMS 2. AWS Certificate Manager 3. Amazon S3 encryption 4. AWS CloudHSM 5. AWS Secrets Manager - Implement authentication and/or authorization for applications and AWS services 1. Identity federation (SAML, OpenID Connect, Amazon Cognito) 2. Role-based access control (RBAC) 3. Resource-based policies, service policies, and principal policies 4. Bearer tokens (JWT, OAuth, AWS STS) 5. User pools and identity pools in Amazon Cognito - Manage sensitive data in application code 1. Environment variables 2. AWS Systems Manager Parameter Store 3. Encryption of data at rest and in transit 4. AWS Secrets Manager
Deployment	24%	- Prepare application artifacts to be deployed to AWS 1. Docker containers 2. Lambda deployment packages 3. AWS CloudFormation 4. AWS SAM 5. AWS CDK - Deploy code by using AWS CI/CD services 1. Rolling deployments 2. AWS CodePipeline 3. AWS CodeBuild 4. GitHub integration 5. AWS CodeDeploy 6. Canary deployments 7. Blue/green deployments 8. AWS CodeCommit - Automate deployment testing 1. AWS CodePipeline 2. AWS CodeBuild 3. AWS CodeDeploy 4. AWS CodeCommit - Test applications in development environments 1. Mocking AWS services 2. AWS SAM local 3. Local testing of Lambda functions
Troubleshooting and Optimization	18%	- Assist in a root cause analysis 1. AWS CloudTrail 2. Error handling and retries 3. Amazon CloudWatch Logs 4. Application logging 5. AWS X-Ray - Instrument code for observability 1. Custom metrics 2. Amazon CloudWatch alarms 3. Structured logging 4. Amazon CloudWatch metrics 5. AWS X-Ray - Optimize applications by using AWS services and features 1. Concurrency and throttling 2. Cost optimization 3. Caching strategies (ElastiCache, CloudFront) 4. Memory and compute optimization 5. Data storage optimization

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Amazon AWS Certified Developer - Associate Sample Questions (Q360-Q365):

NEW QUESTION # 360
A developer previously deployed an AWS Lambda function as a .zip package. The developer needs to deploy the Lambda function as a container. What steps should the developer take to accomplish this?

A. Create an AWS CloudFormation template that defines the Lambda function and its resources as code. Include a container image in the template, and store the image in an Amazon S3 bucket.
Deploy the CloudFormation template. Specify the S3 bucket URI.
B. Create an Amazon ECR repository in the same AWS Region as the Lambda function. Build the image and upload it to the Amazon ECR repository. Update the existing Lambda function to use the new image by specifying the repository URI.
C. Create an AWS SAM template that defines the Lambda function and its resources as code.
Include a container image in the template, and store the container image in an Amazon S3 bucket.
Deploy the AWS SAM template. Specify the S3 bucket URI.
D. Create an Amazon ECR repository in the same AWS Region as the Lambda function. Package the Lambda function into a container image. Build the image and upload it to the Amazon ECR repository. Update the existing Lambda function configuration to specify the repository URI and container image tag.

Answer: D

Explanation:
Converting a Lambda function to use a container image involves packaging the function code into a container image, storing the image in Amazon Elastic Container Registry (ECR), and updating the function to use the ECR repository URI.

NEW QUESTION # 361
A company runs an AWS CodeBuild project on medium-sized Amazon EC2 instances. The company wants to cost optimize the project and reduce the provisioning time.

A. Set up Amazon S3 caching for the CodeBuild project.
B. Configure the project to run on a CodeBuild on-demand fleet.
C. Select AWS Lambda as the compute mode for the CodeBuild project.
D. Configure the project to run on a CodeBuild reserved capacity fleet.

Answer: A

Explanation:
Comprehensive and Detailed Step-by-Step Explanation:
* Option D: Set up Amazon S3 Caching for CodeBuild:
* CodeBuild supports S3 caching to store intermediate build artifacts and dependencies. This reduces the time required to download dependencies during subsequent builds, effectively lowering costs and improving build performance.
* By using S3 caching, developers can optimize costs without changing the compute type or adding complexity.
* Why Other Options Are Incorrect:
* Option A: CodeBuild does not have a "reserved capacity fleet" option.
* Option B: AWS Lambda cannot be used as the compute mode for CodeBuild projects.
CodeBuild uses its own managed build environments.
* Option C: CodeBuild already operates on an on-demand basis, so this does not address the need for optimization or reduced provisioning time.
References:
* AWS CodeBuild Caching Documentation

NEW QUESTION # 362
A developer is migrating a containerized application from an on-premises environment to the AWS Cloud. The developer is using the AWS CDK to provision a container in Amazon ECS on AWS Fargate. The container is behind an Application Load Balancer (ALB).
When the developer deploys the stack, the deployment fails because the ALB fails health checks. The developer needs to resolve the failed health checks.
Which solutions will meet this requirement? (Select TWO.)

A. Confirm that the capacity providers for the container have been provisioned and are properly sized.
B. Confirm that the ALB listener on the mapped port has a default action that forwards to the correct target group.
C. Confirm that a hosted zone associated with the ALB matches a hosted zone that is referenced in the ECS task definition.
D. Confirm that the ALB listener on the mapped port has a default action that redirects to the application's health check path endpoint.
E. Confirm that the target group port matches the port mappings in the ECS task definition.

Answer: B,E

Explanation:
* Option B:Thetarget group portin the ALB must match the port specified in the ECS task definition. If there is a mismatch, the ALB health check will fail since it cannot correctly route traffic to the container.
* Option E:The ALB listener must have a default action that forwards requests to the correct target group associated with the ECS service. If this configuration is missing, the health check will fail as no traffic is routed to the service.
* Option Ais irrelevant to resolving health check issues since capacity providers relate to provisioning compute capacity.
* Option C(hosted zone) is not directly related to ALB health checks.
* Option D(redirecting traffic) is not related to ECS health check configurations.

NEW QUESTION # 363
A company has an existing application that has hardcoded database credentials. A developer needs to modify the existing application. The application is deployed in two AWS Regions with an active-passive failover configuration to meet company's disaster recovery strategy.
The developer needs a solution to store the credentials outside the code. The solution must comply with the company's disaster recovery strategy.
Which solution will meet these requirements in the MOST secure way?

A. Store credentials in a config file. Upload the config file to an S3 bucket in the primary Region.
Enable Cross-Region Replication (CRR) to an S3 bucket in the secondary region. Update the application to access the config file from the S3 bucket, based on the Region.
B. Store the credentials in AWS Secrets Manager in the primary Region. Enable secret replication to the secondary Region. Update the application to use the Amazon Resource Name (ARN) based on the Region.
C. Store credentials in AWS Systems Manager Parameter Store in the primary Region. Enable parameter replication to the secondary Region. Update the application to use the Amazon Resource Name (ARN) based on the Region.
D. Store credentials in a config file. Upload the config file to an Amazon Elastic File System (Amazon EFS) file system. Update the application to use the Amazon EFS file system Regional endpoints to access the config file in the primary and secondary Regions.

Answer: B

Explanation:
https://docs.aws.amazon.com/secretsmanager/latest/userguide/create-manage-multi-region- secrets.html

NEW QUESTION # 364
A developer is designing a full-stack serverless application. Files for the website are stored in an Amazon S3 bucket. AWS Lambda functions that use Amazon API Gateway endpoints return results from an Amazon DynamoDB table.
The developer must create a solution that securely provides registration and authentication for the application while minimizing the amount of configuration.
Which solution meets these requirements?

A. Create an IAM policy that allows access to the website that is stored in the S3 bucket. Attach the policy to an IAM group. Add IAM users to the group.
B. Create an Amazon Cognito user pool and an app client. Configure the app client to use the user pool and provide the hosted web UI provided for sign-up and sign-in.
C. Configure and launch an Amazon EC2 instance to set up an identity provider with an Amazon Cognito user pool. Configure the user pool to provide the hosted web UI for sign-up and sign-in.
D. Configure an Amazon Cognito identity pool. Map the users with IAM roles that are configured to access the S3 bucket that stores the website.

Answer: B

Explanation:
An Amazon Cognito user pool provides a fully managed user directory with built-in registration and authentication. Creating a user pool with an app client and using the hosted UI offers the quickest, lowest-configuration way to add secure sign-up and sign-in to a serverless web application without building or operating custom identity infrastructure.

NEW QUESTION # 365
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