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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Security	26%	- 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 - Secure application data 1. Implement encryption at rest and in transit 2. Manage secrets and credentials securely
Deployment	24%	- Deploy applications on AWS 1. Perform safe updates and rollbacks 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk - Implement CI/CD pipelines 1. Automate deployment and testing workflows 2. Use AWS CodePipeline, CodeBuild, CodeDeploy - Prepare application artifacts for deployment 1. Package code and dependencies 2. Use infrastructure as code (AWS CloudFormation, AWS SAM)
Troubleshooting and Optimization	18%	- Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems - 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
Development with AWS Services	32%	- Interact with AWS data services 1. Implement caching and data storage strategies 2. Work with Amazon DynamoDB, Amazon S3 - Integrate AWS services into applications 1. Implement messaging and event-driven workflows 2. Use AWS Lambda, API Gateway, Amazon EventBridge - Write code for applications hosted on AWS 1. Use AWS SDKs and APIs 2. Develop serverless applications 3. Implement architectural patterns

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Amazon AWS Certified Developer - Associate Sample Questions (Q871-Q876):

NEW QUESTION # 871
A developer is preparing to deploy an AWS CloudFormation stack for an application from a template that includes an IAM user.
The developer needs to configure the application ' s resources to retain the IAM user after successful creation.
However, the developer also needs to configure the application to delete the IAM user if the stack rolls back.

A. Update CloudFormation template with the following deletion policy:AWSTemplateFormatVersion: '
2010-05-09 ' Resources: appUser: Type: AWS::IAM::User DeletionPolicy: Retain
B. Update CloudFormation template with the following deletion policy:AWSTemplateFormatVersion: '
2010-09-09 ' Resources: appUser: Type: AWS::IAM::User DeletionPolicy: RetainExceptOnCreate
C. Update the stack policy to include the following statements:{ " Statement " : [{ " Effect " : " Deny " , " Action " : " Update:* " , " Principal " : " * " , " Resource " : " * " , " Condition " : { " StringEquals " : {
" ResourceType " : " AWS::IAM::User " }}}]}
D. Update the CloudFormation service role to include the following policy:{ " Version " : " 2012-10-17 " ,
" Statement " : [{ " Effect " : " Allow " , " Action " : [ " cloudformation:UpdateTerminationProtection "
], " Resource " : " * " }]}

Answer: B

Explanation:
Why Option B is Correct:The RetainExceptOnCreate deletion policy ensures that the IAM user is retained after successful stack creation but is deleted if the stack creation fails or rolls back. This meets both requirements.
Why Other Options are Incorrect:
Option A: The Retain policy retains the resource regardless of stack status and does not delete the IAM user upon rollback.
Option C: Updating the service role for termination protection does not address the specific deletion behavior for the IAM user.
Option D: Stack policy controls updates, not resource deletion behavior during rollbacks.
AWS Documentation References:
CloudFormation DeletionPolicy Attribute

NEW QUESTION # 872
A developer has code that is stored in an Amazon S3 bucket. The code must be deployed as an AWS Lambda function across multiple accounts in the same AWS Region as the S3 bucket an AWS CloudPormation template that runs for each account will deploy the Lambda function.
What is the MOST secure way to allow CloudFormaton to access the Lambda Code in the S3 bucket?

A. Use a service-based link to grant the Lambda function the S3 GetObject permission Add a resource of "** to allow access to the S3 bucket.
B. Grant the CloudFormation service role the S3 ListBucket and GetObject permissions. Add a bucket policy to Amazon S3 with the principal of "AWS" (account numbers)
C. Grant the CloudFormation service row the S3 GetObfect permission. Add a Bucket policy to Amazon S3 with the principal of "'"
D. Use a service-based link to grant the Lambda function the S3 ListBucket and GetObject permissions by explicitly adding the S3 bucket's account number in the resource.

Answer: C

Explanation:
This solution allows the CloudFormation service role to access the S3 bucket from any account, as long as it has the S3 GetObject permission. The bucket policy grants access to any principal with the GetObject permission, which is the least privilege needed to deploy the Lambda code. This is more secure than granting ListBucket permission, which is not required for deploying Lambda code, or using a service-based link, which is not supported for Lambda functions.

NEW QUESTION # 873
A social media company is designing a platform that allows users to upload data, which is stored in Amazon S3. Users can upload data encrypted with a public key. The company wants to ensure that only the company can decrypt the uploaded content using an asymmetric encryption key. The data must always be encrypted in transit and at rest.
Options:

A. Use server-side encryption with customer-provided encryption keys (SSE-C) to encrypt the data.
B. Use client-side encryption with a customer-managed encryption key to encrypt the data.
C. Use client-side encryption with a data key to encrypt the data.
D. Use server-side encryption with Amazon S3 managed keys (SSE-S3) to encrypt the data.

Answer: B

Explanation:
Step 1: Problem Understanding
* Asymmetric Encryption Requirement: Users encrypt data with a public key, and only the company can decrypt it using a private key.
* Data Encryption at Rest and In Transit: The data must be encrypted during upload (in transit) and when stored in Amazon S3 (at rest).
Step 2: Solution Analysis
* Option A: Server-side encryption with Amazon S3 managed keys (SSE-S3).
* Amazon S3 manages the encryption and decryption keys.
* This does not meet the requirement for asymmetric encryption, where the company uses a private key.
* Not suitable.
* Option B: Server-side encryption with customer-provided keys (SSE-C).
* Requires the user to supply encryption keys during the upload process.
* Does not align with the asymmetric encryption requirement.
* Not suitable.
* Option C: Client-side encryption with a data key.
* Data key encryption is symmetric, not asymmetric.
* Does not satisfy the requirement for a public-private key pair.
* Not suitable.
* Option D: Client-side encryption with a customer-managed encryption key.
* Data is encrypted on the client side using the public key.
* Only the company can decrypt the data using the corresponding private key.
* Data remains encrypted during upload (in transit) and in S3 (at rest).
* Correct option.
Step 3: Implementation Steps for Option D
* Generate Key Pair:
* The company generates an RSA key pair (public/private) for encryption and decryption.
* Encrypt Data on Client Side:
* Use the public key to encrypt the data before uploading to S3.
* S3 Upload:
* Upload the encrypted data to S3 over an HTTPS connection.
* Decrypt Data on the Server:
* Use the private key to decrypt data when needed.
AWS Developer References:
* Amazon S3 Encryption Options
* Asymmetric Key Cryptography in AWS

NEW QUESTION # 874
A gaming application stores scores for players in an Amazon DynamoDB table that has four attributes:
user_id, user_name, user_score, and user_rank. The users are allowed to update their names only. A user is authenticated by web identity federation.
Which set of conditions should be added in the policy attached to the role for the dynamodb:PutItem API call?

A. " Condition " : { " ForAllValues:StringEquals " : { " dynamodb:LeadingKeys " : [ " ${www.amazon.
com:user_name} " ], " dynamodb:Attributes " : [ " user_id " ]}}
B. " Condition " : { " ForAllValues:StringEquals " : { " dynamodb:LeadingKeys " : [ " ${www.amazon.
com:user_id} " ], " dynamodb:Attributes " : [ " user_name " , " user_id " ]}}
C. " Condition " : { " ForAllValues:StringEquals " : { " dynamodb:LeadingKeys " : [ " ${www.amazon.com:user_name} " ], " dynamodb:Attributes " : [ " username " , " userid " ]}}
D. " Condition " : { " ForAllValues:StringEquals " : { " dynamodb:LeadingKeys " : [ " ${www.amazon.
com:user_id} " ], " dynamodb:Attributes " : [ " user_name " ]}}

Answer: D

Explanation:
The correct policy condition ensures that:
The LeadingKeys condition restricts operations to the authenticated user ' s user_id.
The Attributes condition limits the updatable attributes to user_name.
Explanation of Choices:
Option A: Correctly enforces both the key restriction (dynamodb:LeadingKeys) and ensures only the user_name attribute can be updated.
Option B, C, D: Use incorrect conditions, such as referencing user_name in the LeadingKeys or including other attributes like user_id in updatable fields.
Reference:AWS DynamoDB Condition Keys Documentation

NEW QUESTION # 875
A developer is reviewing an AWS Step Functions state machine to process files that are uploaded to an Amazon S3 bucket. The state machine is created by an AWS CloudFormation template. The state machine includes three sequential AWS Lambda functions. The state machine runs when new objects are uploaded to the S3 bucket. Full logging to Amazon CloudWatch and AWS X-Ray is enabled in the template.
When the developer reviews the state machine output, the developer sees that the logs include sensitive information. The developer must prevent the logs from storing sensitive information.
Which solution will meet this requirement?

A. Update the StateMachine properties of the logging configuration in the CloudFormation template to Level: ERROR. Redeploy the template.
B. Update the StateMachine properties of the logging configuration in the CloudFormation template to Level: FATAL. Redeploy the template.
C. Update the StateMachine properties of the tracing configuration in the CloudFormation template to Enabled: false. Redeploy the template.
D. Update the StateMachine properties of the logging configuration in the CloudFormation template to IncludeExecutionData: false. Redeploy the template.

Answer: D

Explanation:
Setting IncludeExecutionData to false prevents Step Functions from including execution input and output data in CloudWatch Logs. This keeps sensitive payload data out of the logs while still allowing the state machine to log execution events.

NEW QUESTION # 876
......

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