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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
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. Optimize resource usage and costs 2. Improve latency and throughput - Debug and resolve errors 1. Resolve integration and configuration problems 2. Identify and fix code defects
Security	26%	- Implement authentication and authorization 1. Manage IAM roles, policies, and permissions 2. Use Amazon Cognito for identity management - Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely - Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations
Development with AWS Services	32%	- 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. Use AWS SDKs and APIs 2. Implement architectural patterns 3. Develop serverless applications - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows
Deployment	24%	- Implement CI/CD pipelines 1. Automate deployment and testing workflows 2. Use AWS CodePipeline, CodeBuild, CodeDeploy - 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. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)

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Amazon AWS Certified Developer - Associate Sample Questions (Q819-Q824):

NEW QUESTION # 819
A company is creating a new application that gives users the ability to upload and share short video files. The average size of the video files is 10 MB. After a user uploads a file, a message needs to be placed into an Amazon Simple Queue Service (Amazon SQS) queue so the file can be processed. The files need to be accessible for processing within 5 minutes.
Which solution will meet these requirements MOST cost-effectively?

A. Write the files to Amazon S3 Standard. Add the S3 location of the files to the SQS queue.
B. Write the files to Amazon S3 Glacier Deep Archive. Add the S3 location of the files to the SQS queue.
C. Write the files to an Amazon Elastic Block Store (Amazon EBS) General Purpose SSD volume. Add the EBS location of the files to the SQS queue.
D. Write messages that contain the contents of the uploaded files to the SQS queue.

Answer: A

Explanation:
Comprehensive Detailed Explanation with all AWS Reference
Why Option B is Correct:
Amazon S3 Standard provides immediate access to files and is cost-effective for files that need to be accessed within 5 minutes.
By adding the S3 location to the SQS queue, you avoid transferring large files directly, which is both more efficient and scalable.
Why Other Options are Incorrect:
Option A: S3 Glacier Deep Archive is designed for archival storage with retrieval times ranging from minutes to hours, which does not meet the 5-minute requirement.
Option C: Amazon EBS is designed for block storage attached to EC2 instances, which adds unnecessary complexity and cost.
Option D: SQS is not designed to handle large file content directly and has message size limits (256 KB).
AWS Documentation Reference:
Amazon S3 Overview
Amazon SQS Best Practices

NEW QUESTION # 820
A developer uses Amazon S3 Event Notifications to invoke AWS Lambda functions. The Lambda functions process images after the images are uploaded to S3 buckets. The developer has set up a development S3 bucket, a production S3 bucket, a development Lambda function, and a production Lambda function in the same AWS account.
The developer notices that uploads to the development S3 bucket wrongly invoke the production Lambda function. The developer must prevent development data from affecting the production Lambda function.
What should the developer do to meet these requirements?

A. Separate the development environment and the production environment into their own AWS accounts. Update the execution role for each Lambda function. Add a policy that allows the execution role to read from only the S3 bucket that is in the same account.
B. Update the execution role for the production Lambda function. Add a policy that allows the execution role to read from only the production S3 bucket.
C. Update the S3 bucket policy for the production S3 bucket to invoke the production Lambda function. Update the S3 bucket policy for the development S3 bucket to invoke the development Lambda function.
D. Separate the development environment and the production environment into their own AWS accounts. Add a resource policy to the Lambda functions to allow only S3 bucket events in the same account to invoke the functions.

Answer: C

NEW QUESTION # 821
A developer wants to use an Amazon CloudFront distribution to deliver a web application to users. Users will access the application through the internet.
The developer needs to create an SSL/TLS certificate to use with the CloudFront distribution. The developer wants to minimize operational overhead by ensuring that the certificate is renewed automatically.
Which solution will meet these requirements?

A. Create a public certificate that uses DNS validation in AWS Certificate Manager.
B. Create a public certificate that uses email validation in AWS Certificate Manager (ACM).
C. Import a certificate into IAM. Configure managed renewal for the certificate.
D. Create a public certificate that uses DNS validation in IAM.

Answer: A

Explanation:
Using AWS Certificate Manager (ACM) with DNS validation for a public certificate enables automatic renewal and is fully compatible with Amazon CloudFront. This approach minimizes operational overhead because ACM handles the entire lifecycle of the certificate, including renewals and deployment to CloudFront.

NEW QUESTION # 822
A company needs to harden its container images before the images are in a running state. The company's application uses Amazon Elastic Container Registry (Amazon ECR) as an image registry. Amazon Elastic Kubernetes Service (Amazon EKS) for compute, and an AWS CodePipeline pipeline that orchestrates a continuous integration and continuous delivery (CI/CD) workflow.
Dynamic application security testing occurs in the final stage of the pipeline after a new image is deployed to a development namespace in the EKS cluster. A developer needs to place an analysis stage before this deployment to analyze the container image earlier in the CI/CD pipeline.
Which solution will meet these requirements with the MOST operational efficiency?

A. Build the container image and run the docker scan command locally. Mitigate any findings before pushing changes to the source code repository. Write a pre-commit hook that enforces the use of this workflow before commit.
B. Create a new CodePipeline stage that occurs after source code has been retrieved from its repository. Run a security scanner on the latest revision of the source code. Fail the pipeline if there are findings.
C. Add an action to the deployment stage of the pipeline so that the action occurs before the deployment to the EKS cluster. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.
D. Create a new CodePipeline stage that occurs after the container image is built. Configure ECR basic image scanning to scan on image push. Use an AWS Lambda function as the action provider. Configure the Lambda function to check the scan results and to fail the pipeline if there are findings.

Answer: C

NEW QUESTION # 823
A developer is writing an AWS Lambda function. The developer wants to log key events that occur while the Lambda function runs. The developer wants to include a unique identifier to associate the events with a specific function invocation. The developer adds the following code to the Lambda function:

Which solution will meet this requirement?

A. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to a file.
B. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to standard output.
C. Obtain the request identifier from the AWS request ID field in the context object. Configure the application to write logs to standard output.
D. Obtain the request identifier from the AWS request ID field in the event object. Configure the application to write logs to a file.

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/lambda/latest/dg/nodejs-context.html
https://docs.aws.amazon.com/lambda/latest/dg/nodejs-logging.html
There is no explicit information for the runtime, the code is written in Node.js.
AWS Lambda is a service that lets developers run code without provisioning or managing servers. The developer can use the AWS request ID field in the context object to obtain a unique identifier for each function invocation. The developer can configure the application to write logs to standard output, which will be captured by Amazon CloudWatch Logs. This solution will meet the requirement of logging key events with a unique identifier.
References:
[What Is AWS Lambda? - AWS Lambda]
[AWS Lambda Function Handler in Node.js - AWS Lambda]
[Using Amazon CloudWatch - AWS Lambda]

NEW QUESTION # 824
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