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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Deployment	24%	- 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 - Prepare application artifacts for deployment 1. Use infrastructure as code (AWS CloudFormation, AWS SAM) 2. Package code and dependencies
Troubleshooting and Optimization	18%	- Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems - Optimize application performance 1. Optimize resource usage and costs 2. Improve latency and throughput - Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring
Development with AWS Services	32%	- Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Develop serverless applications 3. Implement architectural patterns - 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. Implement caching and data storage strategies 2. Work with Amazon DynamoDB, Amazon S3
Security	26%	- Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely - Apply security best practices 1. Validate application security configurations 2. Follow AWS Well-Architected Framework security principles - Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management

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Amazon AWS Certified Developer - Associate Sample Questions (Q824-Q829):

NEW QUESTION # 824
A software company is migrating a single-page application from on-premises servers to the AWS Cloud by using AWS Amplify Hosting. The application relies on an API that was created with an existing GraphQL schema. The company needs to migrate the API along with the application.
Which solution will meet this requirement with the LEAST amount of configuration?

A. Create a new API in Amazon API Gateway by using the existing schema. Use the Amplify CLI's amplify add api command. Select the API as the application's backend environment.
B. Create a new API in AWS AppSync by using the existing schema. Use the Amplify CLI's amplify import api command. Select the API as the application's backend environment.
C. Create a new API by using the Amplify CLI's amplify import api command. Select REST as the service to use. Add the existing schema to the new API.
D. Create a new API by using the Amplify CLI's amplify add api command. Select GraphQL as the service to use. Add the existing schema to the new API.

Answer: D

Explanation:
AWS Amplify's most direct support for GraphQL APIs is through AWS AppSync, and the Amplify CLI can generate and configure an AppSync GraphQL API directly from a schema with minimal setup. The requirement says the API already has an existing GraphQL schema, and the goal is to migrate it with the least configuration effort.
Option D is the simplest: run amplify add api, choose GraphQL, and provide the existing schema. Amplify then provisions the AppSync API, sets up the schema, creates the backend resources (depending on chosen data sources), and wires the configuration into the Amplify project so the SPA can consume the API.
Option A is incorrect because it selects REST and does not align with an existing GraphQL schema.
Option B is incorrect because API Gateway is not the native GraphQL service and would require additional mapping/proxy logic-more configuration.
Option C can be valid if an AppSync API already exists and you want to import it, but the question asks to
"migrate the API along with the application" with least configuration. Creating it directly in Amplify is typically less configuration than creating separately and importing.
Therefore, using Amplify CLI to add a GraphQL API and supply the existing schema is the least-config approach.

NEW QUESTION # 825
A developer accesses AWS CodeCommit over SSH. The SSH keys configured to access AWS CodeCommit are tied to a user with the following permissions:

The developer needs to create/delete branches
Which specific IAM permissions need to be added based on the principle of least privilege?

A. Option C
B. Option D
C. Option B
D. Option A

Answer: D

Explanation:
Explanation
This solution allows the developer to create and delete branches in AWS CodeCommit by granting the codecommit:CreateBranch and codecommit:DeleteBranch permissions. These are the minimum permissions required for this task, following the principle of least privilege. Option B grants too many permissions, such as codecommit:Put*, which allows the developer to create, update, or delete any resource in CodeCommit.
Option C grants too few permissions, such as codecommit:Update*, which does not allow the developer to create or delete branches. Option D grants all permissions, such as codecommit:*, which is not secure or recommended.

NEW QUESTION # 826
A developer is building various microservices for an application that will run on Amazon EC2 instances. The developer needs to monitor the end-to-end view of the requests between the microservices and debug any issues in the various microservices.
What should the developer do to accomplish these tasks?

A. Use AWS CloudTrail to aggregate the microservices' logs and metrics, and build the monitoring dashboard.
B. Use Amazon CloudWatch to aggregate the microservices' logs and metrics, and build the monitoring dashboard.
C. Use the AWS X-Ray SDK to add instrumentation in all the microservices, and monitor using the X-Ray service map.
D. Use AWS Health to monitor the health of all the microservices.

Answer: C

Explanation:
To monitor end-to-end requests and debug issues acrossmicroservices, you needdistributed tracing. Among AWS tools,AWS X-Rayis specifically built for this use case.
Step-by-Step Breakdown:
Step 1: Understand the Requirement
The developer needs:
* End-to-end request tracingacross microservices
* Debugging capabilityfor performance issues or failures
* This points directly to adistributed tracing solutionrather than just logs or metrics.
Step 2: Evaluate the Options
Option A: Amazon CloudWatch
* CloudWatch is powerful formetrics,logs, andalerts.
* But it does not providedistributed tracingorrequest path visualizationbetween microservices.
* So, it'snot sufficient alonefor the requirement.
Option B: AWS CloudTrail
* CloudTrail tracksAPI callsmade through the AWS Management Console, CLI, SDKs.
* It is meant forauditing and governance, not microservices request tracing.
* Not suitable for debugging microservices interactions.
Option C: AWS X-Ray SDK with X-Ray service map
* #Purpose-built fordistributed tracing
* Automatically collects data about requestsas they travel through your microservices
* You caninstrumentyour code with the AWS X-Ray SDK inJava, Node.js, Python, Go, .NET, etc.
* Visualizes requests using aservice map, showing latency, errors, and time spent in downstream services.
How it works:
* Instrument each microserviceusing the AWS X-Ray SDK.
* Use the SDK totrace requests, propagate trace headers across services.
* TheX-Ray daemoncollects and sends trace data to the X-Ray service.
* You can view theservice map, see bottlenecks, error rates, etc.
Option D: AWS Health
* AWS Health provides information onAWS service outagesor account-level events.
* It doesnotmonitor yourapplication or microserviceshealth or request flows.
Correct Choice: Cis the only option that meets the developer's requirement to monitorend-to-end request pathsand debug issues in amicroservicesarchitecture.
AWS Developer References:
* AWS X-Ray Documentation:https://docs.aws.amazon.com/xray/latest/devguide/aws-xray.html
* Instrumenting your application:https://docs.aws.amazon.com/xray/latest/devguide/xray-sdk.html
* Viewing the Service Map:https://docs.aws.amazon.com/xray/latest/devguide/xray-console-service-map.
html
* Tracing Microservices with AWS X-Ray:https://aws.amazon.com/blogs/compute/tracing-microservices- aws-x-ray/

NEW QUESTION # 827
A developer has deployed an AWS Lambda function that is subscribed to an Amazon Simple Notification Service {Amazon SNS) topic. The developer must implement a solution to add a record of each Lambda function invocation to an Amazon Simple Queue Service {Amazon SQS) queue.
Which solution will meet this requirement?

A. Add a single asynchronous invocation destination to the Lambda function to capture successful invocations. Configure the SQS queue as the destination. Create an Amazon CloudWatch alarm based on the DestinationDeliveryFailures metric to catch any message that cannot be delivered.
B. Add two asynchronous invocation destinations to the Lambda function: one destination for successful invocations and one destination for failed invocations. Configure the SQS queue as the destination for each type. Create an Amazon CloudWatch alarm based on the DestinationDeliveryFailures metric to catch any message that cannot be delivered.
C. Create code that uses the AWS SDK to call the SQS SendMessage operation to add the invocation details to the SQS queue. Add the code to the end of the Lambda function.
D. Configure the SQS queue as a dead-letter queue for the Lambda function.

Answer: A

NEW QUESTION # 828
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. Update the instance type of the Lambda function to a compute optimized instance with at least eight virtual CPU (vCPU).
C. Configure a reserved concurrency on the Lambda function.
D. Increase the memory that is allocated to the Lambda function.

Answer: D

NEW QUESTION # 829
......

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