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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Development with AWS Services	32%	- Integrate AWS services into applications 1. Implement messaging and event-driven workflows 2. Use AWS Lambda, API Gateway, Amazon EventBridge - 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. Develop serverless applications 2. Implement architectural patterns 3. Use AWS SDKs and APIs
Topic 2: Troubleshooting and Optimization	18%	- Troubleshoot application issues 1. Analyze logs, metrics, and traces 2. Use Amazon CloudWatch, AWS X-Ray for monitoring - Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems
Topic 3: Deployment	24%	- Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM) - Deploy applications on AWS 1. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk 2. Perform safe updates and rollbacks - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows
Topic 4: Security	26%	- 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 - 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 (Q112-Q117):

NEW QUESTION # 112
A company is building a new application that runs on AWS and uses Amazon API Gateway to expose APIs. Teams of developers are working on separate components of the application in parallel. The company wants to publish an API without an integrated backend so that teams that depend on the application backend can continue the development work before the API backend development is complete.
Which solution will meet these requirements?

A. Create API Gateway resources and set the integration type value to MOCK. Configure the method integration request and integration response to associate a response with an HTTP status code. Create an API Gateway stage and deploy the API.
B. Create an EC2 application that returns mocked HTTP responses. Create API Gateway resources and set the integration type value to AWS. Create an API Gateway stage and deploy the API.
C. Create an AWS Lambda function that returns mocked responses and various HTTP status codes.
Create API Gateway resources and set the integration type value to AWS_PROXY. Deploy the API.
D. Create API Gateway resources and set the integration type value set to HTTP_PROXY. Add mapping templates and deploy the API. Create an AWS Lambda layer that returns various HTTP status codes. Associate the Lambda layer with the API deployment.

Answer: A

NEW QUESTION # 113
A developer is creating a service that uses an Amazon S3 bucket for image uploads. The service will use an AWS Lambda function to create a thumbnail of each image Each time an image is uploaded the service needs to send an email notification and create the thumbnail The developer needs to configure the image processing and email notifications setup.
Which solution will meet these requirements?

A. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure S3 event notifications with a destination of the SNS topic. Subscribe the Lambda function to the SNS topic. Create an Amazon Simple Queue Service (Amazon SQS) queue Subscribe the SQS queue to the SNS topic Create an email notification subscription to the SQS queue.
B. Create an Amazon Simple Queue Service (Amazon SQS) queue. Send S3 event notifications to Amazon EventBridge. Create an EventBndge rule that runs the Lambda function when images are uploaded to the S3 bucket Create an EventBridge rule that sends notifications to the SQS queue Create an email notification subscription to the SQS queue
C. Create an Amazon Simple Notification Service (Amazon SNS) topic Configure S3 event notifications with a destination of the SNS topic Subscribe the Lambda function to the SNS topic Create an email notification subscription to the SNS topic
D. Create an Amazon Simple Queue Service (Amazon SQS) queue Configure S3 event notifications with a destination of the SQS queue Subscribe the Lambda function to the SQS queue Create an email notification subscription to the SQS queue.

Answer: C

Explanation:
* SNS as a Fan-out Mechanism: SNS is perfect for triggering multiple actions from a single event (here, the image upload).
* Workflow:
* SNS Topic: Create an SNS topic that will be the central notification point.
* S3 Event Notification: Configure the S3 bucket to send 'Object Created' event notifications to the SNS topic.
* Lambda Subscription: Subscribe your thumbnail-creating Lambda function to the SNS topic.
* Email Subscription: Subscribe an email address to the SNS topic to trigger notifications.
References:
S3 Event Notifications: https://docs.aws.amazon.com/AmazonS3/latest/userguide/EventNotifications.html SNS Subscriptions: https://docs.aws.amazon.com/sns/latest/dg/SNSMobilePush.html

NEW QUESTION # 114
A developer has created an AWS Lambda function to provide notification through Amazon Simple Notification Service (Amazon SNS) whenever a file is uploaded to Amazon S3 that is larger than 50 MB. The developer has deployed and tested the Lambda function by using the CLI. However, when the event notification is added to the S3 bucket and a 3.000 MB file is uploaded, the Lambda function does not launch.
Which of the following Is a possible reason for the Lambda function's inability to launch?

A. The S3 bucket needs to be made public.
B. Lambda functions cannot be invoked directly from an S3 event.
C. The S3 event notification does not activate for files that are larger than 1.000 MB.
D. The resource-based policy for the Lambda function does not have the required permissions to be invoked by Amazon S3.

Answer: D

NEW QUESTION # 115
A company is building an application to accept data from customers. The data must be encrypted at rest and in transit.
The application uses an Amazon API Gateway API that resolves to AWS Lambda functions. The Lambda functions store the data in an Amazon Aurora MySQL DB cluster. The application worked properly during testing.
A developer configured an Amazon CloudFront distribution with field-level encryption that uses an AWS Key Management Service (AWS KMS) key. After the configuration of the distribution, the application behaved unexpectedly. All the data in the database changed from plaintext to ciphertext.
The developer must ensure that the data is not stored in the database as the ciphertext from the CloudFront field-level encryption.
Which solution will meet this requirement?

A. Enable encryption on the DB cluster by using the same KMS key that is used in CloudFront.
B. Add a Lambda function that uses the KMS key to decrypt the data fields before saving the data to the database.
C. Request and deploy a new SSL certificate to use with the CloudFront distribution.
D. Change the CloudFront Viewer protocol policy from "HTTP and HTTPS" to "HTTPS only."

Answer: B

NEW QUESTION # 116
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?

A. Create a custom AWS CloudFormation public registry extension. Reference a GitHub repository that hosts the open source modules in the extension. Configure CloudFormation to scan the repository once each day. Write an AWS SAM template to redeploy the three Lambda functions upon a scan notification change.
B. Create an Amazon CloudFront distribution with an Amazon S3 bucket as the origin. Upload the patched modules to Amazon S3 when needed. Modify each Lambda function to download the patched modules from the CloudFront distribution during cold starts.
C. Create a Lambda layer with the open source modules. Modify all three Lambda functions to use the layer. Remove the open source modules from each Lambda function. Patch the Lambda layer with the modified open source modules when needed. Update the Lambda functions to reference the new layer version.
D. Launch an Amazon EC2 instance. Host a private open source module registry on the EC2 instance.
Upload the modified open source modules to the private registry when needed. Modify each Lambda function deployment script to download the modules from the private registry. Redeploy the three Lambda functions.

Answer: C

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 # 117
......

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