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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q276-Q281):

NEW QUESTION # 276
A team of developers is using an AWS CodePipeline pipeline as a continuous integration and continuous delivery (CI/CD) mechanism for a web application. A developer has written unit tests to programmatically test the functionality of the application code. The unit tests produce a test report that shows the results of each individual check. The developer now wants to run these tests automatically during the CI/CD process.
Which solution will meet this requirement with the LEAST operational effort?

A. Add a new stage to the pipeline. Use AWS CodeBuild as the provider. Add the new stage before the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage if any test does not pass. Use the test reports feature of CodeBuild to integrate the report with the CodeBuild console. View the test results in CodeBuild. Resolve any issues.
B. Add a new stage to the pipeline. Use Jenkins as the provider. Configure CodePipeline to use Jenkins to run the unit tests. Write a Jenkinsfile that fails the stage if any test does not pass. Use the test report plugin for Jenkins to integrate the report with the Jenkins dashboard. View the test results in Jenkins. Resolve any issues.
C. Add a new stage to the pipeline. Use AWS CodeBuild as the provider. Add the new stage after the stage that deploys code revisions to the test environment. Write a buildspec that fails the CodeBuild stage if any test does not pass. Use the test reports feature of CodeBuild to integrate the report with the CodeBuild console. View the test results in CodeBuild. Resolve any issues.
D. Write a Git pre-commit hook that runs the tests before every commit. Ensure that each developer who is working on the project has the pre-commit hook installed locally. Review the test report and resolve any issues before pushing changes to AWS CodeCommit.

Answer: A

NEW QUESTION # 277
A company is using AWS CloudFormation 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 Systems Manager Parameter Store resource with the SecureString data type to generate and rotate the password.
B. Use an AWS Secrets Manager resource 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 Lambda function as a CloudFormation custom resource to generate and rotate the password.

Answer: B

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 # 278
A developer created an AWS Lambda function that accesses resources in a VPC. The Lambda function polls an Amazon Simple Queue Service (Amazon SOS) queue for new messages through a VPC endpoint. Then the function calculates a rolling average of the numeric values that are contained in the messages. After initial tests of the Lambda function, the developer found that the value of the rolling average that the function returned was not accurate.
How can the developer ensure that the function calculates an accurate rolling average?

A. Modify the function to store the values in Amazon ElastiCache. When the function initializes, use the previous values from the cache to calculate the rolling average.
B. Set the function's provisioned concurrency to 1. Calculate the rolling average in the function. Store the calculated rolling average in Amazon ElastiCache.
C. Modify the function to store the values in the function's layers. When the function initializes, use the previously stored values to calculate the rolling average.
D. Set the function's reserved concurrency to 1. Calculate the rolling average in the function. Store the calculated rolling average in Amazon ElastiCache.

Answer: A

NEW QUESTION # 279
A company has a web application that is hosted on AWS. The application is behind an Amazon CloudFront distribution. A developer needs a dashboard to monitor error rates and anomalies of the CloudFront distribution as frequently as possible.
Which combination of steps should the developer take to meet these requirements? (Choose two.)

A. Stream the CloudFront distribution logs to an Amazon S3 bucket. Detect anomalies and error rates by using Amazon Athena.
B. Set up Amazon Kinesis Data Firehose to send the logs to AWS CloudTrail. Create CloudTrail metrics, alarms, and dashboards.
C. Stream the CloudFront distribution logs to Amazon Kinesis Data Firehose.
D. Enable real-time logs on the CloudFront distribution. Create a data stream in Amazon Kinesis Data Streams.
E. Set up Amazon Kinesis Data Streams to send the logs to Amazon OpenSearch Service by using an AWS Lambda function. Make a dashboard in OpenSearch Dashboards.

Answer: D,E

NEW QUESTION # 280
A company has a social media application that receives large amounts of traffic User posts and interactions are continuously updated in an Amazon RDS database The data changes frequently, and the data types can be complex The application must serve read requests with minimal latency The application's current architecture struggles to deliver these rapid data updates efficiently The company needs a solution to improve the application's performance.
Which solution will meet these requirements'?

A. Set up Amazon S3 Transfer Acceleration on the RDS database to enhance the speed of data transfer from the databases to the application.
B. Add an Amazon CloudFront distribution in front of the RDS database to provide a caching layer for the high volume of rapidly changing data
C. Create an Amazon ElastiCache for Redis cluster. Update the application code to use a write-through caching strategy and read the data from Redis.
D. Use Amazon DynamoDB Accelerator (DAX) in front of the RDS database to provide a caching layer for the high volume of rapidly changing data

Answer: C

Explanation:
Explanation
Creating an Amazon ElastiCache for Redis cluster is the best solution for improving the application's performance. Redis is an in-memory data store that can serve read requests with minimal latency and handle complex data types, such as lists, sets, hashes, and streams. By using a write-through caching strategy, the application can ensure that the data in Redis is always consistent with the data in RDS. The application can read the data from Redis instead of RDS, reducing the load on the database and improving the response time.
The other solutions are either not feasible or not effective. Amazon DynamoDB Accelerator (DAX) is a caching service that works only with DynamoDB, not RDS. Amazon S3 Transfer Acceleration is a feature that speeds up data transfers between S3 and clients across the internet, not between RDS and the application.
Amazon CloudFront is a content delivery network that can cache static content, such as images, videos, or HTML files, but not dynamic content, such as user posts and interactions. References
* Amazon ElastiCache for Redis
* Caching Strategies and Best Practices - Amazon ElastiCache for Redis
* Using Amazon ElastiCache for Redis with Amazon RDS
* Amazon DynamoDB Accelerator (DAX)
* Amazon S3 Transfer Acceleration
* Amazon CloudFront

NEW QUESTION # 281
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