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Amazon DVA-C02 Exam Syllabus Topics:

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

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Amazon AWS Certified Developer - Associate Sample Questions (Q253-Q258):

NEW QUESTION # 253
A developer is using AWS CodeDeploy to launch an application onto Amazon EC2 instances.
The application deployment fails during testing. The developer notices an IAM_ROLE_PERMISSIONS error code in Amazon CloudWatch logs.
What should the developer do to resolve the error?

Answer: C


NEW QUESTION # 254
A food-delivery company has an application that uses an Amazon DynamoDB table for customer orders. The table uses on-demand capacity mode. The table uses order_date as the partition key and a composite sort key of customerId#orderId.
During peak order periods, write operations to the table are being throttled.
What should a developer do to resolve this issue?

Answer: B

Explanation:
Amazon DynamoDB throttling during peak periods is commonly caused by hot partitions. In this scenario, using order_date as the partition key results in a large number of writes targeting the same partition during peak ordering times. Even in on-demand mode, DynamoDB enforces per-partition limits, which leads to throttling when traffic is unevenly distributed.
AWS best practices emphasize designing partition keys that provide high cardinality and uniform access patterns. Using customerId as the partition key distributes write traffic across many partitions because customer IDs naturally vary and scale with the number of users.
Switching to provisioned capacity (Option B) does not solve the root cause and can still result in throttling due to uneven access patterns. Sequential partition keys (Option A) worsen the hot partition problem.
Migrating to Aurora (Option C) is unnecessary and does not address DynamoDB design issues.
AWS documentation clearly states that access pattern design is critical, and changing the partition key to better distribute workload is the correct solution. Therefore, using customerId as the partition key resolves throttling and aligns with DynamoDB best practices.


NEW QUESTION # 255
A company has a web application in an Amazon ECS cluster running hundreds of secure services in AWS Fargate containers. The services are in target groups routed by an Application Load Balancer (ALB). Application users log in to the website anonymously, but they must be authenticated using any OpenID Connect protocol-compatible identity provider (IdP) to access the secure services. Which authentication approach would meet these requirements with the LEAST amount of effort?

Answer: B

Explanation:
Configuring the Application Load Balancer (ALB) to use Amazon Cognito for authentication allows the ALB to handle user authentication via any OpenID Connect-compatible IdP before forwarding requests to the backend services. This approach requires the least effort since it centralizes authentication at the ALB without changing individual services.


NEW QUESTION # 256
A developer is building a containerized application on AWS. The application communicates with a third-party service by using API keys. The developer needs a secure way to store the API keys and pass the API keys to the containerized application.
Which solutions will meet these requirements? (Choose two.)

Answer: C,D


NEW QUESTION # 257
A company regularly receives route status updates from its delivery trucks as events in Amazon EventBridge.
The company is building an API-based application in a VPC that will consume and process the events to create a delivery status dashboard. The API application must not be available by using public IP addresses because of security and compliance requirements.
How should the company send events from EventBridge to the API application?

Answer: C

Explanation:
Comprehensive Detailed Explanation with all AWS References
* Why Option A is Correct:Running an AWS Lambda function within the same VPC ensures secure communication without exposing the API application to public IP addresses. The Lambda function can serve as a secure EventBridge target to send events to the API.
* Why Other Options are Incorrect:
* Option B & C: Internet-facing load balancers expose public IP addresses, which violates compliance requirements.
* Option D: EventBridge cannot directly target an endpoint within a private VPC without intermediary services like Lambda.
* AWS Documentation References:
* EventBridge Targets


NEW QUESTION # 258
......

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