DVA-C02: AWS Certified Developer - Associate - Free download from Exam Hub

A development team maintains a web application by using a single AWS CloudFormation template.

The template defines web servers and an Amazon RDS database. The team uses the Cloud Formation template to deploy the Cloud Formation stack to different environments.

During a recent application deployment, a developer caused the primary development database to be dropped and recreated. The result of this incident was a loss of dat a. The team needs to avoid accidental database deletion in the future.

Which solutions will meet these requirements? (Choose two.)

Add a CloudFormation Deletion Policy attribute with the Retain value to the database resource.
Update the CloudFormation stack policy to prevent updates to the database.
Modify the database to use a Multi-AZ deployment.
Create a CloudFormation stack set for the web application and database deployments.
Add a Cloud Formation DeletionPolicy attribute with the Retain value to the stack.

Correct answer: AB

Explanation:

AWS CloudFormation is a service that enables developers to model and provision AWS resources using templates. The developer can add a CloudFormation Deletion Policy attribute with the Retain value to the database resource. This will prevent the database from being deleted when the stack is deleted or updated. The developer can also update the CloudFormation stack policy to prevent updates to the database. This will prevent accidental changes to the database configuration or properties.Reference:[What Is AWS CloudFormation? - AWS CloudFormation][DeletionPolicy Attribute - AWS CloudFormation][Protecting Resources During Stack Updates - AWS CloudFormation]

AWS CloudFormation is a service that enables developers to model and provision AWS resources using templates. The developer can add a CloudFormation Deletion Policy attribute with the Retain value to the database resource. This will prevent the database from being deleted when the stack is deleted or updated. The developer can also update the CloudFormation stack policy to prevent updates to the database. This will prevent accidental changes to the database configuration or properties.

Reference:

[What Is AWS CloudFormation? - AWS CloudFormation]

[DeletionPolicy Attribute - AWS CloudFormation]

[Protecting Resources During Stack Updates - AWS CloudFormation]

A company is implementing an application on Amazon EC2 instances. The application needs to process incoming transactions. When the application detects a transaction that is not valid, the application must send a chat message to the company's support team. To send the message, the application needs to retrieve the access token to authenticate by using the chat API.

A developer needs to implement a solution to store the access token. The access token must be encrypted at rest and in transit. The access token must also be accessible from other AWS accounts.

Which solution will meet these requirements with the LEAST management overhead?

Use an AWS Systems Manager Parameter Store SecureString parameter that uses an AWS Key Management Service (AWS KMS) AWS managed key to store the access token. Add a resource-based policy to the parameterto allow access from other accounts. Update the IAM role of the EC2 instances with permissions to access Parameter Store. Retrieve the token from Parameter Store with the decrypt flag enabled. Use the decrypted access token to send the message to the chat.
Encrypt the access token by using an AWS Key Management Service (AWS KMS) customer managed key. Store the access token in an Amazon DynamoDB table. Update the IAM role of the EC2 instances with permissionsto access DynamoDB and AWS KMS. Retrieve the token from DynamoDB. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
Use AWS Secrets Manager with an AWS Key Management Service (AWS KMS) customer managed key to store the access token. Add a resource-based policy to the secret to allow access from other accounts. Update theIAM role of the EC2 instances with permissions to access Secrets Manager. Retrieve the token from Secrets Manager. Use the decrypted access token to send the message to the chat.
Encrypt the access token by using an AWS Key Management Service (AWS KMS) AWS managed key. Store the access token in an Amazon S3 bucket. Add a bucket policy to the S3 bucket to allow access from otheraccounts. Update the IAM role of the EC2 instances with permissions to access Amazon S3 and AWS KMS. Retrieve the token from the S3 bucket. Decrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the massage to the chat.

Correct answer: C

Explanation:

https://aws.amazon.com/premiumsupport/knowledge-center/secrets-manager-share-betweenaccounts/https://docs.aws.amazon.com/secretsmanager/latest/userguide/auth-andaccess_ examples_cross.html

https://aws.amazon.com/premiumsupport/knowledge-center/secrets-manager-share-betweenaccounts/

https://docs.aws.amazon.com/secretsmanager/latest/userguide/auth-andaccess_ examples_cross.html

A company is running Amazon EC2 instances in multiple AWS accounts. A developer needs to implement an application that collects all the lifecycle events of the EC2 instances. The application needs to store the lifecycle events in a single Amazon Simple Queue Service (Amazon SQS) queue in the company's main AWS account for further processing.

Which solution will meet these requirements?

Configure Amazon EC2 to deliver the EC2 instance lifecycle events from all accounts to the Amazon EventBridge event bus of the main account. Add an EventBridge rule to the event bus of the main account that matchesall EC2 instance lifecycle events. Add the SQS queue as a target of the rule.
Use the resource policies of the SQS queue in the main account to give each account permissions to write to that SQS queue. Add to the Amazon EventBridge event bus of each account an EventBridge rule that matchesall EC2 instance lifecycle events. Add the SQS queue in the main account as a target of the rule.
Write an AWS Lambda function that scans through all EC2 instances in the company accounts to detect EC2 instance lifecycle changes. Configure the Lambda function to write a notification message to the SQS queue inthe main account if the function detects an EC2 instance lifecycle change. Add an Amazon EventBridge scheduled rule that invokes the Lambda function every minute.
Configure the permissions on the main account event bus to receive events from all accounts. Create an Amazon EventBridge rule in each account to send all the EC2 instance lifecycle events to the main account eventbus. Add an EventBridge rule to the main account event bus that matches all EC2 instance lifecycle events. Set the SQS queue as a target for the rule.

Correct answer: D

Explanation:

Amazon EC2 instances can send the state-change notification events to Amazon EventBridge.https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/monitoring-instance-state-changes.html Amazon EventBridge can send and receive events between event buses in AWS accounts.https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-cross-account.html

Amazon EC2 instances can send the state-change notification events to Amazon EventBridge.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/monitoring-instance-state-changes.html

Amazon EventBridge can send and receive events between event buses in AWS accounts.

https://docs.aws.amazon.com/eventbridge/latest/userguide/eb-cross-account.html

An application is using Amazon Cognito user pools and identity pools for secure access. A developer wants to integrate the user-specific file upload and download features in the application with Amazon S3. The developer must ensure that the files are saved and retrieved in a secure manner and that users can access only their own files. The file sizes range from 3 KB to 300 MB.

Which option will meet these requirements with the HIGHEST level of security?

Use S3 Event Notifications to validate the file upload and download requests and update the user interface (UI).
Save the details of the uploaded files in a separate Amazon DynamoDB table. Filter the list of files in the user interface (UI) by comparing the current user ID with the user ID associated with the file in the table.
Use Amazon API Gateway and an AWS Lambda function to upload and download files. Validate each request in the Lambda function before performing the requested operation.
Use an IAM policy within the Amazon Cognito identity prefix to restrict users to use their own folders in Amazon S3.

Correct answer: D

Explanation:

https://docs.aws.amazon.com/cognito/latest/developerguide/amazon-cognito-integrating-userpools-with-identity-pools.html

A company is building a scalable data management solution by using AWS services to improve the speed and agility of development. The solution will ingest large volumes of data from various sources and will process this data through multiple business rules and transformations.

The solution requires business rules to run in sequence and to handle reprocessing of data if errors occur when the business rules run. The company needs the solution to be scalable and to require the least possible maintenance.

Which AWS service should the company use to manage and automate the orchestration of the data flows to meet these requirements?

AWS Batch
AWS Step Functions
AWS Glue
AWS Lambda

Correct answer: B

Explanation:

https://docs.aws.amazon.com/step-functions/latest/dg/welcome.html

A developer has created an AWS Lambda function that is written in Python. The Lambda function reads data from objects in Amazon S3 and writes data to an Amazon DynamoDB table. The function is successfully invoked from an S3 event notification when an object is created. However, the function fails when it attempts to write to the DynamoDB table.

What is the MOST likely cause of this issue?

The Lambda function's concurrency limit has been exceeded.
DynamoDB table requires a global secondary index (GSI) to support writes.
The Lambda function does not have IAM permissions to write to DynamoDB.
The DynamoDB table is not running in the same Availability Zone as the Lambda function.

Correct answer: C

Explanation:

https://docs.aws.amazon.com/IAM/latest/UserGuide/reference_policies_examples_lambda-access-dynamodb.html

Users are reporting errors in an application. The application consists of several micro services that are deployed on Amazon Elastic Container Serves (Amazon ECS) with AWS Fargate.

When combination of steps should a developer take to fix the errors? (Select TWO)

Deploy AWS X-Ray as a sidecar container to the micro services. Update the task role policy to allow access to me X -Ray API.
Deploy AWS X-Ray as a daemon set to the Fargate cluster. Update the service role policy to allow access to the X-Ray API.
Instrument the application by using the AWS X-Ray SDK. Update the application to use the Put-XrayTrace API call to communicate with the X-Ray API.
Instrument the application by using the AWS X-Ray SDK. Update the application to communicate with the X-Ray daemon.
Instrument the ECS task to send the stout and spider- output to Amazon CloudWatch Logs. Update the task role policy to allow the cloudwatch Putlogs action.

Correct answer: AE

Explanation:

The combination of steps that the developer should take to fix the errors is to deploy AWS X-Ray as a sidecar container to the microservices and instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. This way, the developer can use AWS X-Ray to analyze and debug the performance of the microservices and identify any issues or bottlenecks. The developer can also use CloudWatch Logs to monitor and troubleshoot the logs from the ECS task and detect any errors or exceptions. The other options either involve using AWS X-Ray as a daemon set, which is not supported by Fargate, or using the PutTraceSegments API call, which is not necessary when using a sidecar container.Reference: Using AWS X-Ray with Amazon ECS

The combination of steps that the developer should take to fix the errors is to deploy AWS X-Ray as a sidecar container to the microservices and instrument the ECS task to send the stdout and stderr output to Amazon CloudWatch Logs. This way, the developer can use AWS X-Ray to analyze and debug the performance of the microservices and identify any issues or bottlenecks. The developer can also use CloudWatch Logs to monitor and troubleshoot the logs from the ECS task and detect any errors or exceptions. The other options either involve using AWS X-Ray as a daemon set, which is not supported by Fargate, or using the PutTraceSegments API call, which is not necessary when using a sidecar container.

Reference: Using AWS X-Ray with Amazon ECS

A developer at a company needs to create a small application mat makes the same API call once each flay at a designated time. The company does not have infrastructure in the AWS Cloud yet, but the company wants to implement this functionality on AWS.

Which solution meets these requirements in the MOST operationally efficient manner?

Use a Kubermetes cron job that runs on Amazon Elastic Kubemetes Sen/ice (Amazon EKS)
Use an Amazon Linux crontab scheduled job that runs on Amazon EC2
Use an AWS Lambda function that is invoked by an Amazon EventBridge scheduled event.
Use an AWS Batch job that is submitted to an AWS Batch job queue.

Correct answer: C

Explanation:

This solution meets the requirements in the most operationally efficient manner because it does not require any infrastructure provisioning or management. The developer can create a Lambda function that makes the API call and configure an EventBridge rule that triggers the function once a day at a designated time. This is a serverless solution that scales automatically and only charges for the execution time of the function.Reference: [Using AWS Lambda with Amazon EventBridge], [Schedule Expressions for Rules]

This solution meets the requirements in the most operationally efficient manner because it does not require any infrastructure provisioning or management. The developer can create a Lambda function that makes the API call and configure an EventBridge rule that triggers the function once a day at a designated time. This is a serverless solution that scales automatically and only charges for the execution time of the function.

Reference: [Using AWS Lambda with Amazon EventBridge], [Schedule Expressions for Rules]

A developer is building a serverless application that is based on AWS Lambd a. The developer initializes the AWS software development kit (SDK) outside of the Lambda handcar function.

What is the PRIMARY benefit of this action?

Improves legibility and systolic convention
Takes advantage of runtime environment reuse
Provides better error handling
Creates a new SDK instance for each invocation

Correct answer: B

Explanation:

This benefit occurs when initializing the AWS SDK outside of the Lambda handler function because it allows the SDK instance to be reused across multiple invocations of the same function. This can improve performance and reduce latency by avoiding unnecessary initialization overhead. If the SDK is initialized inside the handler function, it will create a new SDK instance for each invocation, which can increase memory usage and execution time.Reference: [AWS Lambda execution environment], [Best Practices for Working with AWS Lambda Functions]

This benefit occurs when initializing the AWS SDK outside of the Lambda handler function because it allows the SDK instance to be reused across multiple invocations of the same function. This can improve performance and reduce latency by avoiding unnecessary initialization overhead. If the SDK is initialized inside the handler function, it will create a new SDK instance for each invocation, which can increase memory usage and execution time.

Reference: [AWS Lambda execution environment], [Best Practices for Working with AWS Lambda Functions]

A company is using Amazon RDS as the Backend database for its application. After a recent marketing campaign, a surge of read requests to the database increased the latency of data retrieval from the database.

The company has decided to implement a caching layer in front of the database. The cached content must be encrypted and must be highly available.

Which solution will meet these requirements?

Amazon Cloudfront
Amazon ElastiCache to Memcached
Amazon ElastiCache for Redis in cluster mode
Amazon DynamoDB Accelerate (DAX)

Correct answer: C

Explanation:

This solution meets the requirements because it provides a caching layer that can store and retrieve encrypted data from multiple nodes. Amazon ElastiCache for Redis supports encryption at rest and in transit, and can scale horizontally to increase the cache capacity and availability. Amazon ElastiCache for Memcached does not support encryption, Amazon CloudFront is a content delivery network that is not suitable for caching database queries, and Amazon DynamoDB Accelerator (DAX) is a caching service that only works with DynamoDB tables.Reference: [Amazon ElastiCache for Redis Features], [Choosing a Cluster Engine]

This solution meets the requirements because it provides a caching layer that can store and retrieve encrypted data from multiple nodes. Amazon ElastiCache for Redis supports encryption at rest and in transit, and can scale horizontally to increase the cache capacity and availability. Amazon ElastiCache for Memcached does not support encryption, Amazon CloudFront is a content delivery network that is not suitable for caching database queries, and Amazon DynamoDB Accelerator (DAX) is a caching service that only works with DynamoDB tables.

Reference: [Amazon ElastiCache for Redis Features], [Choosing a Cluster Engine]

Vendor:	Amazon
Exam Code:	DVA-C02
Exam Name:	AWS Certified Developer - Associate
Date:	Nov 07, 2024
File Size:	712 KB

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