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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q589-Q594):

NEW QUESTION # 589
A company uses Amazon API Gateway to expose a set of APIs to customers. The APIs have caching enabled in API Gateway. Customers need a way to invalidate the cache for each API when they test the API.
What should a developer do to give customers the ability to invalidate the API cache?

A. Ask the customers to use AWS credentials to call the InvalidateCache API operation.
B. Ask the customers to use the AWS SDK API Gateway class to invoke the InvalidateCache API operation.
C. Attach an InvalidateCache policy to the IAM execution role that the customers use to invoke the API.
Ask the customers to send a request that contains the HTTP header when they make an API call.
D. Attach an InvalidateCache policy to the IAM execution role that the customers use to invoke the API.
Ask the customers to add the INVALIDATE_CACHE query string parameter when they make an API call.

Answer: D

NEW QUESTION # 590
A company is using AWS CioudFormation to deploy a two-tier application. The application will use Amazon RDS as its backend database. The company wants a solution that will randomly generate the database password during deployment. The solution also must automatically rotate the database password without requiring changes to the application.
What is the MOST operationally efficient solution that meets these requirements'?

A. Use an AWS Lambda function as a CloudFormation custom resource to generate and rotate the password.
B. Use an AWS Systems Manager Parameter Store resource with the SecureString data type to generate and rotate the password.
C. Use a cron daemon on the application s host to generate and rotate the password.
D. Use an AWS Secrets Manager resource to generate and rotate the password.

Answer: D

Explanation:
Explanation
This solution will meet the requirements by using AWS Secrets Manager, which is a service that helps protect secrets such as database credentials by encrypting them with AWS Key Management Service (AWS KMS) and enabling automatic rotation of secrets. The developer can use an AWS Secrets Manager resource in AWS CloudFormation template, which enables creating and managing secrets as part of a CloudFormation stack.
The developer can use an AWS::SecretsManager::Secret resource type to generate and rotate the password for accessing RDS database during deployment. The developer can also specify a RotationSchedule property for the secret resource, which defines how often to rotate the secret and which Lambda function to use for rotation logic. Option A is not optimal because it will use an AWS Lambda function as a CloudFormation custom resource, which may introduce additional complexity and overhead for creating and managing a custom resource and implementing rotation logic. Option B is not optimal because it will use an AWS Systems Manager Parameter Store resource with the SecureString data type, which does not support automatic rotation of secrets. Option C is not optimal because it will use a cron daemon on the application's host to generate and rotate the password, which may incur more costs and require more maintenance for running and securing a host.
References: [AWS Secrets Manager], [AWS::SecretsManager::Secret]

NEW QUESTION # 591
A company uses AWS CloudFormation to deploy an application that uses an Amazon API Gateway REST API with AWS Lambda function integration. The application uses Amazon DynamoDB for data persistence. The application has three stages: development, testing, and production. Each stage uses its own DynamoDB table.
The company has encountered unexpected issues when promoting changes to the production stage. The changes were successful in the development and testing stages. A developer needs to route 20% of the traffic to the new production stage API with the next production release. The developer needs to route the remaining 80% of the traffic to the existing production stage. The solution must minimize the number of errors that any single customer experiences.
Which approach should the developer take to meet these requirements?

A. Update 20% of the planned changes to the production stage. Deploy the new production stage.
Monitor the results. Repeat this process five times to test all planned changes.
B. Update the Amazon Route 53 DNS record entry for the production stage API to use a weighted routing policy. Set the weight to a value of 80. Add a second record for the production domain name. Change the second routing policy to a weighted routing policy. Set the weight of the second policy to a value of 20. Change the alias of the second policy to use the testing stage API.
C. Configure canary settings for the production stage API. Change the percentage of traffic directed to canary deployment to 20%. Make the planned updates to the production stage. Deploy the changes
D. Deploy an Application Load Balancer (ALB) in front of the REST API. Change the production API Amazon Route 53 record to point traffic to the ALB. Register the production and testing stages as targets of the ALB with weights of 80% and 20%, respectively.

Answer: C

NEW QUESTION # 592
A developer needs to write an AWS CloudFormation template on a local machine and deploy a CloudFormation stack to AWS.
What must the developer do to complete these tasks?

A. Install the AWS CLI. Configure the AWS CLI by using an SSH key.
B. Install an AWS software development kit (SDK). Configure the SDK by using an X.509 certificate.
C. Install the AWS CLI. Configure the AWS CLI by using an IAM user name and password.
D. Install the AWS CLI, Configure the AWS CLI by using an IAM user access key and secret key.

Answer: D

NEW QUESTION # 593
An application development team decides to use AWS X-Ray to monitor application code to analyze performance and perform root cause analysis. What does the team need to do to begin using X-Ray? (Choose two.)

A. Install the X-Ray agent on the application servers.
B. Use a visualization tool to view application traces.
C. Log instrumentation output into an Amazon SQS queue.
D. Instrument application code using the AWS SDK.
E. Create an Amazon DynamoDB table to store the trace logs.

Answer: A,D

Explanation:
To use AWS X-Ray, the application code must be instrumented using the AWS SDK or X-Ray SDK so that it can generate trace data for incoming requests. In addition, the X-Ray daemon (agent) must be installed and running on the application servers to collect the trace data and send it to the X-Ray service for analysis.

NEW QUESTION # 594
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