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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q749-Q754):

NEW QUESTION # 749
A developer migrated a legacy application to an AWS Lambda function. The function uses a third-party service to pull data with a series of API calls at the end of each month. The function than processes the data to generate the monthly reports. The function has Been working with no issues so far.
The third-party service recently issued a restriction to allow a feed number to API calls each minute and each day. If the API calls exceed the limit tor each minute or each day, then the service will produce errors. The API also provides the minute limit and daily limit in the response header. This restriction might extend the overall process to multiple days because the process is consuming more API calls than the available limit.
What is the MOST operationally efficient way to refactor the server less application to accommodate this change?

A. Use an AWS Step Functions State machine to monitor API failures. Use the Wait state to delay calling the Lambda function.
B. Use an Amazon CloudWatch Logs metric to count the number of API calls. Configure an Amazon CloudWatch alarm flat slops the currently running instance of the Lambda function when the metric exceeds the API threshold limits.
C. Use Amazon Kinesis Data Firehose to batch me API calls and deliver them to an Amazon S3 bucket win an event notification to invoke the Lambda function.
D. Use an Amazon Simple Queue Service (Amazon SQS) queue to hold the API calls. Configure the Lambda function to poll the queue within the API threshold limits.

Answer: A

Explanation:
Explanation
The solution that will meet the requirements is to use an AWS Step Functions state machine to monitor API failures. Use the Wait state to delay calling the Lambda function. This way, the developer can refactor the serverless application to accommodate the change in a way that is automated and scalable. The developer can use Step Functions to orchestrate the Lambda function and handle any errors or retries. The developer can also use the Wait state to pause the execution for a specified duration or until a specified timestamp, which can help avoid exceeding the API limits. The other options either involve using additional services that are not necessary or appropriate for this scenario, or do not address the issue of API failures.

NEW QUESTION # 750
A developer has observed an increase in bugs in the AWS Lambda functions that a development team has deployed in its Node is application. To minimize these bugs, the developer wants to impendent automated testing of Lambda functions in an environment that Closely simulates the Lambda environment.
The developer needs to give other developers the ability to run the tests locally. The developer also needs to integrate the tests into the team's continuous integration and continuous delivery (Ct/CO) pipeline before the AWS Cloud Development Kit (AWS COK) deployment.
Which solution will meet these requirements?

A. Install a unit testing framework that reproduces the Lambda execution environment. Create sample events based on the Lambda Documentation Invoke the handler function by using a unit testing framework. Check the response Document how to run the unit testing framework for the other developers on the team. Update the OCD pipeline to run the unit testing framework.
B. Create sample events based on the Lambda documentation. Create automated test scripts that use the cdk local invoke command to invoke the Lambda functions. Check the response Document the test scripts for the other developers on the team Update the CI/CD pipeline to run the test scripts.
C. Install the AWS Serverless Application Model (AWS SAW) CLI tool Use the Sam local generate-event command to generate sample events for me automated tests. Create automated test scripts that use the Sam local invoke command to invoke the Lambda functions. Check the response Document the test scripts tor the other developers on the team Update the CI/CD pipeline to run the test scripts.
D. Create sample events based on the Lambda documentation. Create a Docker container from the Node is base image to invoke the Lambda functions. Check the response Document how to run the Docker container for the more developers on the team update the CI/CD pipeline to run the Docker container.

Answer: C

Explanation:
This solution will meet the requirements by using AWS SAM CLI tool, which is a command line tool that lets developers locally build, test, debug, and deploy serverless applications defined by AWS SAM templates. The developer can use sam local generate-event command to generate sample events for different event sources such as API Gateway or S3. The developer can create automated test scripts that use sam local invoke command to invoke Lambda functions locally in an environment that closely simulates Lambda environment.
The developer can check the response from Lambda functions and document how to run the test scripts for other developers on the team. The developer can also update CI/CD pipeline to run these test scripts before deploying with AWS CDK. Option A is not optimal because it will use cdk local invoke command, which does not exist in AWS CDK CLI tool. Option B is not optimal because it will use a unit testing framework that reproduces Lambda execution environment, which may not be accurate or consistent with Lambda environment. Option D is not optimal because it will create a Docker container from Node.js base image to invoke Lambda functions, which may introduce additional overhead and complexity for creating and running Docker containers.
References: [AWS Serverless Application Model (AWS SAM)], [AWS Cloud Development Kit (AWS CDK)]

NEW QUESTION # 751
A company has an application that runs across multiple AWS Regions. The application is experiencing performance issues at irregular intervals. A developer must use AWS X-Ray to implement distributed tracing for the application to troubleshoot the root cause of the performance issues.
What should the developer do to meet this requirement?

A. Use the X-Ray console to add annotations for AWS services and user-defined services
B. Use Region annotation that X-Ray adds automatically for AWS services Add Region annotation for user-defined services
C. Use the X-Ray daemon to add annotations for AWS services and user-defined services
D. Use Region annotation that X-Ray adds automatically for user-defined services Configure X-Ray to add Region annotation for AWS services

Answer: B

Explanation:
* Distributed Tracing with X-Ray: X-Ray helps visualize request paths and identify bottlenecks in applications distributed across Regions.
* Region Annotations (Automatic for AWS Services): X-Ray automatically adds a Region annotation to segments representing calls to AWS services. This aids in tracing cross-Region traffic.
* Region Annotations (Manual for User-Defined): For segments representing calls to user-defined services in different Regions, the developer needs to add the Region annotation manually to enable comprehensive tracing.
References:
* AWS X-Ray: https://aws.amazon.com/xray/

NEW QUESTION # 752
A developer is building a serverless application that connects to an Amazon Aurora PostgreSQL database. The serverless application consists of hundreds of AWS Lambda functions. During every Lambda function scale out, a new database connection is made that increases database resource consumption.
The developer needs to decrease the number of connections made to the database. The solution must not impact the scalability of the Lambda functions.
Which solution will meet these requirements?

A. Configure provisioned concurrency for each Lambda function by setting the ProvisionedConcurrentExecutions parameter to 10.
B. Use Amazon RDS Proxy to create a connection pool to manage the database connections.
Change the connection string of each Lambda function to reference the proxy.
C. Configure reserved concurrency for each Lambda function by setting the ReservedConcurrentExecutions parameter to 10.
D. Enable cluster cache management for Aurora PostgreSQL. Change the connection string of each Lambda function to point to cluster cache management.

Answer: B

Explanation:
Amazon RDS Proxy is a solution that allows you to create a connection pool to manage database connections. This can help reduce the number of connections made to the database.

NEW QUESTION # 753
A developer for a company uses an Amazon S3 bucket to store log files. A bucket policy on the S3 bucket denies all write and delete operations for all principles.
The developer observes that files have been deleted from the S3 bucket despite the bucket policy. The developer must prevent additional deletions from the S3 bucket.
Which solution will meet this requirement?

A. Remove any existing statements in the S3 bucket policy that allow delete operations.
B. Remove any S3 Lifecycle configuration rules on the bucket that are expiring objects.
C. Remove any Amazon EventBridge event bus rules that delete S3 objects from the S3 bucket.
D. Remove any S3 access points on the S3 bucket other company employees use.

Answer: B

Explanation:
S3 Lifecycle configuration rules operate independently of bucket policies and can delete or expire objects even when write and delete actions are denied by policy. Removing lifecycle rules that expire objects prevents further automated deletions from the bucket.

NEW QUESTION # 754
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