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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q434-Q439):

NEW QUESTION # 434
A company uses AWS X-Ray to monitor a serverless application. The components of the application have different request rates. The user interactions and transactions are important to trace, but they are low in volume. The background processes such as application health checks, polling, and connection maintenance generate high volumes of read-only requests.
Currently, the default X-Ray sampling rules are universal for all requests. Only the first request per second and some additional requests are recorded. This setup is not helping the company review the requests based on service or request type.
A developer must configure rules to trace requests based on service or request properties. The developer must trace the user interactions and transactions without wasting effort recording minor background tasks.
Which solution will meet these requirements?

A. Disable sampling and trace all requests for requests that handle user interactions or transactions. Sample high-volume read-only requests at a lower rate.
B. Disable sampling for high-volume read-only requests. Sample at a higher rate for all requests that handle user interactions or transactions.
C. Disable sampling and trace all requests for requests that handle user interactions or transactions. Sample high-volume read-only requests at a higher rate.
D. Disable sampling for high-volume read-only requests. Sample at a lower rate for all requests that handle user interactions or transactions.

Answer: A

NEW QUESTION # 435
A company runs an application on Amazon EC2 instances. The EC2 instances open connections to an Amazon RDS for SQL Server database. A developer needs to store and access the credentials and wants to automatically rotate the credentials. The developer does not want to store the credentials for the database in the code.
Which solution will meet these requirements in the MOST secure way?

A. Store the credentials in an encrypted text file in an Amazon S3 bucket. Configure the EC2 instance launch template to download the credentials from Amazon S3 as the instance launches.
Create an AWS Lambda function to update the secrets and the database.
B. Create an IAM role that has permissions to access the database. Attach the IAM role to the EC2 instances.
C. Store the credentials as secrets in AWS Secrets Manager. Create an AWS Lambda function to update the secrets and the database. Retrieve the credentials from Secrets Manager as needed.
D. Store the credentials in an Amazon DynamoDB table. Configure an Amazon CloudWatch Events rule to invoke an AWS Lambda function to periodically update the secrets and database.

Answer: C

NEW QUESTION # 436
A company uses AWS CloudFormation to deploy an application that includes an Amazon API Gateway REST API integrated with AWS Lambda and Amazon DynamoDB. The application has three stages:
development, testing, and production, each with its own DynamoDB table.
The company wants to deploy a new production release and route 20% of traffic to the new version while keeping 80% of traffic on the existing production version. The solution must minimize the number of errors that any single customer experiences.
Which approach should the developer take?

A. Deploy incremental portions of the changes to production in multiple steps.
B. Use Amazon Route 53 weighted routing between the production and testing stages.
C. Deploy an Application Load Balancer in front of the API Gateway stages and weight traffic.
D. Configure canary deployment settings for the production API stage and route 20% of traffic to the canary.

Answer: D

Explanation:
Amazon API Gateway supports canary deployments, which are designed specifically for controlled production rollouts. Canary deployments allow a developer to direct a configurable percentage of traffic to a new deployment while the remainder continues to use the existing deployment.
AWS documentation states that canary releases help minimize customer impact by exposing only a subset of users to potential issues. Because the routing is request-based, individual users are less likely to encounter inconsistent behavior across multiple requests.
Route 53 weighted routing (Option B) operates at the DNS level and can result in users being routed unpredictably due to DNS caching. An Application Load Balancer (Option C) is not supported as a direct frontend for API Gateway stages and adds unnecessary complexity. Option A lacks traffic control guarantees.
Therefore, configuring a canary deployment on the production stage is the AWS-recommended and lowest- risk approach.

NEW QUESTION # 437
A company has a monolithic desktop-based application that processes images. A developer is converting the application into an AWS Lambda function by using Python. Currently, the desktop application runs every 5 minutes to process the latest image from an Amazon S3 bucket. The desktop application completes the image processing task within 1 minute.
During testing on AWS, the developer notices that the Lambda function runs at the specified 5- minute interval. However, the Lambda function takes more than 2 minutes to complete the image processing task. The developer needs a solution that will improve the Lambda function's performance.
Which solution will meet this requirement?

A. Update the configuration of the Lambda function to use the latest Python runtime.
B. Configure a reserved concurrency on the Lambda function.
C. Increase the memory that is allocated to the Lambda function.
D. Update the instance type of the Lambda function to a compute optimized instance with at least eight virtual CPU (vCPU).

Answer: C

NEW QUESTION # 438
An application that is deployed to Amazon EC2 is using Amazon DynamoDB. The app cation calls the DynamoDB REST API Periodically the application receives a ProvisionedThroughputExceededException error when the application writes to a DynamoDB table.
Which solutions will mitigate this error MOST cost-effectively

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