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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Troubleshooting and Optimization	18%	- Instrument code for observability 1. Custom metrics 2. AWS X-Ray 3. Amazon CloudWatch alarms 4. Structured logging 5. Amazon CloudWatch metrics - Optimize applications by using AWS services and features 1. Memory and compute optimization 2. Caching strategies (ElastiCache, CloudFront) 3. Cost optimization 4. Data storage optimization 5. Concurrency and throttling - Assist in a root cause analysis 1. Application logging 2. AWS CloudTrail 3. Error handling and retries 4. AWS X-Ray 5. Amazon CloudWatch Logs
Topic 2: Security	26%	- Manage sensitive data in application code 1. AWS Secrets Manager 2. AWS Systems Manager Parameter Store 3. Environment variables 4. Encryption of data at rest and in transit - Implement encryption by using AWS services 1. AWS KMS 2. AWS Secrets Manager 3. AWS CloudHSM 4. AWS Certificate Manager 5. Amazon S3 encryption - Implement authentication and/or authorization for applications and AWS services 1. Bearer tokens (JWT, OAuth, AWS STS) 2. Role-based access control (RBAC) 3. Resource-based policies, service policies, and principal policies 4. Identity federation (SAML, OpenID Connect, Amazon Cognito) 5. User pools and identity pools in Amazon Cognito
Topic 3: Development with AWS Services	32%	- Develop code for applications hosted on AWS 1. Amazon Cognito 2. AWS CloudFormation 3. Amazon SNS 4. AWS SDKs 5. Amazon API Gateway 6. AWS CLI 7. Amazon DynamoDB 8. Amazon S3 9. AWS Lambda 10. Amazon SQS - Use data stores in application development 1. Amazon RDS 2. Amazon ElastiCache 3. Amazon EFS 4. Amazon DynamoDB 5. Amazon S3 - Develop code for AWS serverless applications 1. Amazon EventBridge 2. AWS Step Functions 3. Amazon API Gateway 4. AWS AppSync
Topic 4: Deployment	24%	- Test applications in development environments 1. AWS SAM local 2. Mocking AWS services 3. Local testing of Lambda functions - Prepare application artifacts to be deployed to AWS 1. AWS SAM 2. Docker containers 3. AWS CloudFormation 4. AWS CDK 5. Lambda deployment packages - Automate deployment testing 1. AWS CodePipeline 2. AWS CodeCommit 3. AWS CodeBuild 4. AWS CodeDeploy - Deploy code by using AWS CI/CD services 1. AWS CodePipeline 2. AWS CodeCommit 3. AWS CodeBuild 4. AWS CodeDeploy 5. GitHub integration 6. Canary deployments 7. Blue/green deployments 8. Rolling deployments

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Amazon AWS Certified Developer - Associate Sample Questions (Q191-Q196):

NEW QUESTION # 191
A developer needs to build an AWS CloudFormation template that self-populates the AWS Region variable that deploys the CloudFormation template What is the MOST operationally efficient way to determine the Region in which the template is being deployed?

A. Find the Region from the AWS::Stackld pseudo parameter by using the Fn::Split intrinsic function
B. Require the Region as a CloudFormation parameter
C. Dynamically import the Region by referencing the relevant parameter in AWS Systems Manager Parameter Store
D. Use the AWS:.Region pseudo parameter

Answer: D

Explanation:
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/mappings-section-structure.html
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/pseudo-parameter-reference.html
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/pseudo-parameter-reference.html

NEW QUESTION # 192
A developer has observed an increase in bugs in the AWS Lambda functions that a development team has deployed in its Node is application. To minimize these bugs, the developer wants to impendent automated testing of Lambda functions in an environment that Closely simulates the Lambda environment.
The developer needs to give other developers the ability to run the tests locally. The developer also needs to integrate the tests into the team's continuous integration and continuous delivery (Ct/CO) pipeline before the AWS Cloud Development Kit (AWS COK) deployment.
Which solution will meet these requirements?

A. Create sample events based on the Lambda documentation. Create automated test scripts that use the cdk local invoke command to invoke the Lambda functions. Check the response Document the test scripts for the other developers on the team Update the CI/CD pipeline to run the test scripts.
B. Install the AWS Serverless Application Model (AWS SAW) CLI tool Use the Sam local generate-event command to generate sample events for me automated tests. Create automated test scripts that use the Sam local invoke command to invoke the Lambda functions. Check the response Document the test scripts tor the other developers on the team Update the CI/CD pipeline to run the test scripts.
C. Install a unit testing framework that reproduces the Lambda execution environment. Create sample events based on the Lambda Documentation Invoke the handler function by using a unit testing framework. Check the response Document how to run the unit testing framework for the other developers on the team. Update the OCD pipeline to run the unit testing framework.
D. Create sample events based on the Lambda documentation. Create a Docker container from the Node is base image to invoke the Lambda functions. Check the response Document how to run the Docker container for the more developers on the team update the CI/CD pipeline to run the Docker container.

Answer: B

Explanation:
Explanation
This solution will meet the requirements by using AWS SAM CLI tool, which is a command line tool that lets developers locally build, test, debug, and deploy serverless applications defined by AWS SAM templates. The developer can use sam local generate-event command to generate sample events for different event sources such as API Gateway or S3. The developer can create automated test scripts that use sam local invoke command to invoke Lambda functions locally in an environment that closely simulates Lambda environment. The developer can check the response from Lambda functions and document how to run the test scripts for other developers on the team. The developer can also update CI/CD pipeline to run these test scripts before deploying with AWS CDK. Option A is not optimal because it will use cdk local invoke command, which does not exist in AWS CDK CLI tool. Option B is not optimal because it will use a unit testing framework that reproduces Lambda execution environment, which may not be accurate or consistent with Lambda environment. Option D is not optimal because it will create a Docker container from Node.js base image to invoke Lambda functions, which may introduce additional overhead and complexity for creating and running Docker containers.
References: [AWS Serverless Application Model (AWS SAM)], [AWS Cloud Development Kit (AWS CDK)]

NEW QUESTION # 193
An AWS Lambda function requires read access to an Amazon S3 bucket and requires read/write access to an Amazon DynamoDB table The correct 1AM policy already exists What is the MOST secure way to grant the Lambda function access to the S3 bucket and the DynamoDB table?

A. Add the AWS account root user access key ID and secret access key as encrypted environment variables in the Lambda function
B. Create an 1AM role for the Lambda function Attach the existing 1AM policy to the role Attach the role to the Lambda function
C. Attach the existing 1AM policy to the Lambda function.
D. Create an 1AM user with programmatic access Attach the existing 1AM policy to the user. Add the user access key ID and secret access key as environment variables in the Lambda function.

Answer: B

Explanation:
* Principle of Least Privilege: Granting specific permissions through an IAM role is more secure than directly attaching policies to a function or using root user credentials.
* IAM Roles for Lambda: Designed to provide temporary credentials to Lambda functions, enhancing security.
* Reusability: The existing IAM policy ensures the correct S3 and DynamoDB access is granted.
References:
IAM Roles for Lambda Documentation: https://docs.aws.amazon.com/lambda/latest/dg/lambda-intro- execution-role.html IAM Best Practices: https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html

NEW QUESTION # 194
A developer needs to use Amazon DynamoDB to store customer orders. The developer's company requires all customer data to be encrypted at rest with a key that the company generates. What should the developer do to meet these requirements?

A. Store the key by using AW5 KMS. Choose an AVVS KMS customer managed key during creation of the DynamoDB table. Provide the Amazon Resource Name (ARN) of the AWS KMS key.
B. Store the key by using AWS KMS. Create the DynamoDB table with default encryption. Include the kms:Encrypt parameter with the Amazon Resource Name (ARN) of the AWS KMS key when using the DynamoDB SDK.
C. Store the key by using AWS KMS. Choose an AWS KMS AWS managed key during creation of the DynamoDB table. Provide the Amazon Resource Name (ARN) of the AWS KMS key.
D. Create the DynamoDB table with encryption set to None. Code the application to use the key to decrypt the data when the application reads from the table. Code the application to use the key to encrypt the data when the application writes to the table.

Answer: A

NEW QUESTION # 195
A company hosts its application on AWS. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster that uses AWS Fargate. The cluster runs behind an Application Load Balancer. The application stores data in an Amazon Aurora database. A developer encrypts and manages database credentials inside the application.
The company wants to use a more secure credential storage method and implement periodic credential rotation.
Which solution will meet these requirements with the LEAST operational overhead?

A. Migrate the credentials to AWS Secrets Manager. Encrypt the credentials by using an AWS Key Management Service (AWS KMS) key. Turn on secret rotation. Use IAM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager by using keys.
B. Migrate the credentials to AWS Systems Manager Parameter Store. Encrypt the parameter by using an AWS Key Management Service (AWS KMS) key. Turn on secret rotation. Use IAM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager.
C. Migrate the credentials to ECS Fargate environment variables. Encrypt the credentials by using an AWS Key Management Service (AWS KMS) key. Turn on secret rotation. Use IAM policies and roles to grant Amazon ECS Fargate permissions to access to AWS Secrets Manager.
D. Migrate the secret credentials to Amazon RDS parameter groups. Encrypt the parameter by using an AWS Key Management Service (AWS KMS) key. Turn on secret rotation. Use IAM policies and roles to grant AWS KMS permissions to access Amazon RDS.

Answer: C

NEW QUESTION # 196
......

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