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Amazon DVA-C02 Exam Syllabus Topics:

SectionWeightObjectives
Security26%- Apply security best practices
  • 1. Validate application security configurations
  • 2. Follow AWS Well-Architected Framework security principles
- Secure application data
  • 1. Implement encryption at rest and in transit
  • 2. Manage secrets and credentials securely
- Implement authentication and authorization
  • 1. Use Amazon Cognito for identity management
  • 2. Manage IAM roles, policies, and permissions
Development with AWS Services32%- Interact with AWS data services
  • 1. Work with Amazon DynamoDB, Amazon S3
  • 2. Implement caching and data storage strategies
- Write code for applications hosted on AWS
  • 1. Implement architectural patterns
  • 2. Develop serverless applications
  • 3. Use AWS SDKs and APIs
- Integrate AWS services into applications
  • 1. Use AWS Lambda, API Gateway, Amazon EventBridge
  • 2. Implement messaging and event-driven workflows
Deployment24%- Prepare application artifacts for deployment
  • 1. Package code and dependencies
  • 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
- Deploy applications on AWS
  • 1. Perform safe updates and rollbacks
  • 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk
- Implement CI/CD pipelines
  • 1. Use AWS CodePipeline, CodeBuild, CodeDeploy
  • 2. Automate deployment and testing workflows
Troubleshooting and Optimization18%- Troubleshoot application issues
  • 1. Analyze logs, metrics, and traces
  • 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
- Optimize application performance
  • 1. Optimize resource usage and costs
  • 2. Improve latency and throughput
- Debug and resolve errors
  • 1. Identify and fix code defects
  • 2. Resolve integration and configuration problems

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Amazon AWS Certified Developer - Associate Sample Questions (Q337-Q342):

NEW QUESTION # 337
A company has three AWS Lambda functions written in Node.js. The Lambda functions include a mix of custom code and open source modules. When bugs are occasionally detected in the open source modules, all three Lambda functions must be patched.
What is the MOST operationally efficient solution to deploy a patched open source library for all three Lambda functions?

Answer: A

Explanation:
Comprehensive and Detailed 250 to 300 words of Explanation (AWS-doc-aligned):
The most operationally efficient way to share and patch common dependencies across multiple Lambda functions is to use AWS Lambda layers. A Lambda layer is an independently managed deployment artifact that can contain libraries and other dependencies. Multiple functions can reference the same layer, which avoids packaging identical open source modules into each function bundle.
When a vulnerability or bug is found in a shared module, you patch it once by publishing a new layer version that contains the updated dependencies. Then you update each Lambda function configuration to reference the new layer version. This centralizes dependency management, reduces duplicated artifacts, and makes rollouts and rollbacks cleaner (you can switch layer versions quickly). It also keeps function deployment packages smaller, which often improves deployment speed and can reduce cold-start overhead associated with larger bundles.
The other options introduce unnecessary operational burden:
* Downloading modules at cold start (CloudFront/S3) increases latency and adds failure modes at runtime.
* Hosting a private registry on EC2 requires patching, scaling, availability management, and security hardening-high operational overhead.
* A CloudFormation registry extension and daily scans are not a standard or efficient mechanism for packaging runtime Node.js dependencies into Lambda functions.
Lambda layers are a documented AWS-native feature intended for precisely this use case: sharing common code and libraries across functions while enabling controlled versioning. Therefore, creating a layer for the open source modules and updating the functions to consume the layer is the most efficient and maintainable approach.


NEW QUESTION # 338
A company is migrating an on-premises database to Amazon RDS for MySQL. The company has read-heavy workloads. The company wants to refactor the code to achieve optimum read performance for queries.
Which solution will meet this requirement with LEAST current and future effort?

Answer: A

Explanation:
Explanation
Amazon RDS for MySQL supports read replicas, which are copies of the primary database instance that can handle read-only queries. Read replicas can improve the read performance of the database by offloading the read workload from the primary instance and distributing it across multiple replicas. To use read replicas, the application code needs to be modified to direct read queries to the URL of the read replicas, while write queries still go to the URL of the primary instance. This solution requires less current and future effort than using a multi-AZ deployment, which does not provide read scaling benefits, or using open source replication software, which requires additional configuration and maintenance. Reference: Working with read replicas


NEW QUESTION # 339
A developer has created an AWS Lambda function for a company's application. The developer must make the Lambda function available for other developers at the company to deploy as needed. The other developers must be able to use the application without needing to configure the environment or resources.
The developer decides to publish the application in the AWS Serverless Application Repository and needs to build the AWS SAM template for the deployment.
Which sections is the developer required to include in the template? (Choose two.)

Answer: A,D

Explanation:
A valid AWS SAM template for the Serverless Application Repository must include the Resources section to define the AWS resources (such as the Lambda function) and the Transform section to specify the use of the AWS SAM transform. These are mandatory to describe the infrastructure and enable SAM processing.


NEW QUESTION # 340
A developer is deploying an AWS Lambda function that writes to Amazon DynamoDB. Amazon CloudWatch metrics for the Lambda function show that errors have occurred during some invocations of the function. However, there are no entries available in the CloudWatch Logs for the function. The source code for the function shows that the function writes log data before saving data. What should the developer do to address the missing CloudWatch log entries for the Lambda function?

Answer: C

Explanation:
The correct answer is A because AWS Lambda requires permissions in the function's execution role to create log groups, create log streams, and put log events into Amazon CloudWatch Logs . If the Lambda function is throwing errors but there are no CloudWatch log entries, the most likely cause is that the execution role does not include the necessary logging permissions. AWS documentation states that Lambda automatically sends logs from function code and the execution environment to CloudWatch Logs, but this behavior depends on the function's IAM role having permissions such as logs:CreateLogGroup , logs:
CreateLogStream , and logs:PutLogEvents .
This aligns with the scenario because the source code already attempts to write logs before saving data to DynamoDB. If the function is invoked and errors are visible in CloudWatch metrics, but logs never appear, then logging is failing before or during delivery to CloudWatch Logs. Assigning the proper IAM permissions resolves that problem directly.
Option B is incorrect because CloudWatch Lambda Insights provides enhanced monitoring and performance telemetry, but it does not replace the basic permissions required for CloudWatch Logs delivery.
Option C is incorrect because AWS X-Ray helps trace requests and diagnose latency or service interactions, but it does not solve missing log stream permissions. Option D is incorrect because CloudWatch does not need to be added as a trusted principal to the Lambda execution role; the trusted entity for that role is the Lambda service .
Therefore, the developer should update the Lambda execution role to include the required CloudWatch Logs permissions.


NEW QUESTION # 341
A developer has created an AWS Lambda function that makes queries to an Amazon Aurora MySQL DB instance. When the developer performs a test the OB instance shows an error for too many connections.
Which solution will meet these requirements with the LEAST operational effort?

Answer: B

Explanation:
This solution will meet the requirements by using Amazon RDS Proxy, which is a fully managed, highly available database proxy for Amazon RDS that makes applications more scalable, more resilient to database failures, and more secure. The developer can create a proxy in Amazon RDS Proxy, which sits between the application and the DB instance and handles connection management, pooling, and routing. The developer can query the proxy instead of the DB instance, which reduces the number of open connections to the DB instance and avoids errors for too many connections. Option A is not optimal because it will create a read replica for the DB instance, which may not solve the problem of too many connections as read replicas also have connection limits and may incur additional costs. Option B is not optimal because it will migrate the data to an Amazon DynamoDB database, which may introduce additional complexity and overhead for migrating and accessing data from a different database service. Option C is not optimal because it will configure the Amazon Aurora MySQL DB instance for Multi-AZ deployment, which may improve availability and durability of the DB instance but not reduce the number of connections.


NEW QUESTION # 342
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