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?
AUse 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 parameter to 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.
BEncrypt 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 permissions to access DynamoDB and AWS KMS. Retrieve the token from DynamoDDecrypt the token by using AWS KMS on the EC2 instances. Use the decrypted access token to send the message to the chat.
CUse 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 the IAM 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.
DEncrypt 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 other accounts. 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.
A developer is deploying a new application to Amazon Elastic Container Service (Amazon ECS). The developer needs to securely store and retrieve different types of variables. These variables include authentication information for a remote API, the URL for the API, and credentials. The authentication information and API URL must be available to all current and future deployed versions of the application across development, testing, and production environments.
How should the developer retrieve the variables with the FEWEST application changes?
AUpdate the application to retrieve the variables from AWS Systems Manager Parameter Store. Use unique paths in Parameter Store for each variable in each environment. Store the credentials in AWS Secrets Manager in each environment.
BUpdate the application to retrieve the variables from AWS Key Management Service (AWS KMS). Store the API URL and credentials as unique keys for each environment.
CUpdate the application to retrieve the variables from an encrypted file that is stored with the application. Store the API URL and credentials in unique files for each environment.
DUpdate the application to retrieve the variables from each of the deployed environments. Define the authentication information and API URL in the ECS task definition as unique names during the deployment process.
A company uses AWS Lambda functions and an Amazon S3 trigger to process images into an S3 bucket. A development team set up multiple environments in a single AWS account.
After a recent production deployment, the development team observed that the development S3 buckets invoked the production environment Lambda functions. These invocations caused unwanted execution of development S3 files by using production Lambda functions. The development team must prevent these invocations. The team must follow security best practices.
Which solution will meet these requirements?
AUpdate the Lambda execution role for the production Lambda function to add a policy that allows the execution role to read from only the production environment S3 bucket.
BMove the development and production environments into separate AWS accounts. Add a resource policy to each Lambda function to allow only S3 buckets that are within the same account to invoke the function.
CAdd a resource policy to the production Lambda function to allow only the production environment S3 bucket to invoke the function.
DMove the development and production environments into separate AWS accounts. Update the Lambda execution role for each function to add a policy that allows the execution role to read from the S3 bucket that is within the same account.
A developer is creating an application. New users of the application must be able to create an account and register by using their own social media accounts.
Which AWS service or resource should the developer use to meet these requirements?
AIAM role
BAmazon Cognito identity pools
CAmazon Cognito user pools
DAWS Directory Service
A social media application uses the AWS SDK for JavaScript on the frontend to get user credentials from AWS Security Token Service (AWS STS). The application stores its assets in an Amazon S3 bucket. The application serves its content by using an Amazon CloudFront distribution with the origin set to the S3 bucket.
The credentials for the role that the application assumes to make the SDK calls are stored in plaintext in a JSON file within the application code. The developer needs to implement a solution that will allow the application to get user credentials without having any credentials hardcoded in the application code.
Which solution will meet these requirements?
AAdd a Lambda@Edge function to the distribution. Invoke the function on viewer request. Add permissions to the function's execution role to allow the function to access AWS STS. Move all SDK calls from the frontend into the function.
BAdd a CloudFront function to the distribution. Invoke the function on viewer request. Add permissions to the function's execution role to allow the function to access AWS STS. Move all SDK calls from the frontend into the function.
CAdd a Lambda@Edge function to the distribution. Invoke the function on viewer request. Move the credentials from the JSON file into the function. Move all SDK calls from the frontend into the function.
DAdd a CloudFront function to the distribution. Invoke the function on viewer request. Move the credentials from the JSON file into the function. Move all SDK calls from the frontend into the function.
An ecommerce website uses an AWS Lambda function and an Amazon RDS for MySQL database for an order fulfillment service. The service needs to return order confirmation immediately.
During a marketing campaign that caused an increase in the number of orders, the website's operations team noticed errors for “too many connections” from Amazon RDS. However, the RDS DB cluster metrics are healthy. CPU and memory capacity are still available.
What should a developer do to resolve the errors?
AInitialize the database connection outside the handler function. Increase the max_user_connections value on the parameter group of the DB cluster. Restart the DB cluster.
BInitialize the database connection outside the handler function. Use RDS Proxy instead of connecting directly to the DB cluster.
CUse Amazon Simple Queue Service (Amazon SQS) FIFO queues to queue the orders. Ingest the orders into the database. Set the Lambda function's concurrency to a value that equals the number of available database connections.
DUse Amazon Simple Queue Service (Amazon SQS) FIFO queues to queue the orders. Ingest the orders into the database. Set the Lambda function's concurrency to a value that is less than the number of available database connections.
A company stores its data in data tables in a series of Amazon S3 buckets. The company received an alert that customer credit card information might have been exposed in a data table on one of the company's public applications. A developer needs to identify all potential exposures within the application environment.
Which solution will meet these requirements?
AUse Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Personal finding type.
BUse Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Financial finding type.
CUse Amazon Macie to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Personal finding type.
DUse Amazon Athena to run a job on the S3 buckets that contain the affected data. Filter the findings by using the SensitiveData:S3Object/Financial finding type.
A software company is launching a multimedia application. The application will allow guest users to access sample content before the users decide if they want to create an account to gain full access. The company wants to implement an authentication process that can identify users who have already created an account. The company also needs to keep track of the number of guest users who eventually create an account.
Which combination of steps will meet these requirements? (Choose two.)
ACreate an Amazon Cognito user pool. Configure the user pool to allow unauthenticated users. Exchange user tokens for temporary credentials that allow authenticated users to assume a role.
BCreate an Amazon Cognito identity pool. Configure the identity pool to allow unauthenticated users. Exchange unique identity for temporary credentials that allow all users to assume a role.
CCreate an Amazon CloudFront distribution. Configure the distribution to allow unauthenticated users. Exchange user tokens for temporary credentials that allow all users to assume a role.
DCreate a role for authenticated users that allows access to all content. Create a role for unauthenticated users that allows access to only the sample content.
EAllow all users to access the sample content by default. Create a role for authenticated users that allows access to the other content.
A company is updating an application to move the backend of the application from Amazon EC2 instances to a serverless model. The application uses an Amazon RDS for MySQL DB instance and runs in a single VPC on AWS. The application and the DB instance are deployed in a private subnet in the VPC.
The company needs to connect AWS Lambda functions to the DB instance.
Which solution will meet these requirements?
ACreate Lambda functions inside the VPC with the AWSLambdaBasicExecutionRole policy attached to the Lambda execution role. Modify the RDS security group to allow inbound access from the Lambda security group.
BCreate Lambda functions inside the VPC with the AWSLambdaVPCAccessExecutionRole policy attached to the Lambda execution role. Modify the RDS security group to allow inbound access from the Lambda security group.
CCreate Lambda functions with the AWSLambdaBasicExecutionRole policy attached to the Lambda execution role. Create an interface VPC endpoint for the Lambda functions. Configure the interface endpoint policy to allow the lambda:InvokeFunclion action for each Lambda function's Amazon Resource Name (ARN).
DCreate Lambda functions with the AWSLambdaVPCAccessExecutionRole policy attached to the Lambda execution role. Create an interface VPC endpoint for the Lambda functions. Configure the interface endpoint policy to allow the lambda:InvokeFunction action for each Lambda function's Amazon Resource Name (ARN).
A company has a web application that runs on Amazon EC2 instances with a custom Amazon Machine Image (AMI). The company uses AWS CloudFormation to provision the application. The application runs in the us-east-1 Region, and the company needs to deploy the application to the us-west-1 Region.
An attempt to create the AWS CloudFormation stack in us-west-1 fails. An error message states that the AMI ID does not exist. A developer must resolve this error with a solution that uses the least amount of operational overhead.
Which solution meets these requirements?
AChange the AWS CloudFormation templates for us-east-1 and us-west-1 to use an AWS AMI. Relaunch the stack for both Regions.
BCopy the custom AMI from us-east-1 to us-west-1. Update the AWS CloudFormation template for us-west-1 to refer to AMI ID for the copied AMI. Relaunch the stack.
CBuild the custom AMI in us-west-1. Create a new AWS CloudFormation template to launch the stack in us-west-1 with the new AMI ID.
DManually deploy the application outside AWS CloudFormation in us-west-1.
A developer is updating several AWS Lambda functions and notices that all the Lambda functions share the same custom libraries. The developer wants to centralize all the libraries, update the libraries in a convenient way, and keep the libraries versioned.
Which solution will meet these requirements with the LEAST development effort?
ACreate an AWS CodeArtifact repository that contains all the custom libraries.
BCreate a custom container image for the Lambda functions to save all the custom libraries.
CCreate a Lambda layer that contains all the custom libraries.
DCreate an Amazon Elastic File System (Amazon EFS) file system to store all the custom libraries.
A developer wants to use AWS Elastic Beanstalk to test a new version of an application in a test environment.
Which deployment method offers the FASTEST deployment?
AImmutable
BRolling
CRolling with additional batch
DAll at once
A company is migrating legacy internal applications to AWS. Leadership wants to rewrite the internal employee directory to use native AWS services. A developer needs to create a solution for storing employee contact details and high-resolution photos for use with the new application.
Which solution will enable the search and retrieval of each employee's individual details and high-resolution photos using AWS APIs?
AEncode each employee's contact information and photos using Base64. Store the information in an Amazon DynamoDB table using a sort key.
BStore each employee's contact information in an Amazon DynamoDB table along with the object keys for the photos stored in Amazon S3.
CUse Amazon Cognito user pools to implement the employee directory in a fully managed software-as-a-service (SaaS) method.
DStore employee contact information in an Amazon RDS DB instance with the photos stored in Amazon Elastic File System (Amazon EFS).
A company is providing read access to objects in an Amazon S3 bucket for different customers. The company uses IAM permissions to restrict access to the S3 bucket. The customers can access only their own files.
Due to a regulation requirement, the company needs to enforce encryption in transit for interactions with Amazon S3.
Which solution will meet these requirements?
AAdd a bucket policy to the S3 bucket to deny S3 actions when the aws:SecureTransport condition is equal to false.
BAdd a bucket policy to the S3 bucket to deny S3 actions when the s3:x-amz-acl condition is equal to public-read.
CAdd an IAM policy to the IAM users to enforce the usage of the AWS SDK.
DAdd an IAM policy to the IAM users that allows S3 actions when the s3:x-amz-acl condition is equal to bucket-owner-read.
A company has an image storage web application that runs on AWS. The company hosts the application on Amazon EC2 instances in an Auto Scaling group. The Auto Scaling group acts as the target group for an Application Load Balancer (ALB) and uses an Amazon S3 bucket to store the images for sale.
The company wants to develop a feature to test system requests. The feature will direct requests to a separate target group that hosts a new beta version of the application.
Which solution will meet this requirement with the LEAST effort?
ACreate a new Auto Scaling group and target group for the beta version of the application. Update the ALB routing rule with a condition that looks for a cookie named version that has a value of beta. Update the test system code to use this cookie to test the beta version of the application.
BCreate a new ALB, Auto Scaling group, and target group for the beta version of the application. Configure an alternate Amazon Route 53 record for the new ALB endpoint. Use the alternate Route 53 endpoint in the test system requests to test the beta version of the application.
CCreate a new ALB, Auto Scaling group, and target group for the beta version of the application. Use Amazon CloudFront with Lambda@Edge to determine which specific request will go to the new ALB. Use the CloudFront endpoint to send the test system requests to test the beta version of the application.
DCreate a new Auto Scaling group and target group for the beta version of the application. Update the ALB routing rule with a condition that looks for a cookie named version that has a value of beta. Use Amazon CloudFront with Lambda@Edge to update the test system requests to add the required cookie when the requests go to the ALB.
A team is developing an application that is deployed on Amazon EC2 instances. During testing, the team receives an error. The EC2 instances are unable to access an Amazon S3 bucket.
Which steps should the team take to troubleshoot this issue? (Choose two.)
ACheck whether the policy that is assigned to the IAM role that is attached to the EC2 instances grants access to Amazon S3.
BCheck the S3 bucket policy to validate the access permissions for the S3 bucket.
CCheck whether the policy that is assigned to the IAM user that is attached to the EC2 instances grants access to Amazon S3.
DCheck the S3 Lifecycle policy to validate the permissions that are assigned to the S3 bucket.
ECheck the security groups that are assigned to the EC2 instances. Make sure that a rule is not blocking the access to Amazon S3.
A developer is working on an ecommerce website. The developer wants to review server logs without logging in to each of the application servers individually. The website runs on multiple Amazon EC2 instances, is written in Python, and needs to be highly available.
How can the developer update the application to meet these requirements with MINIMUM changes?
ARewrite the application to be cloud native and to run on AWS Lambda, where the logs can be reviewed in Amazon CloudWatch.
BSet up centralized logging by using Amazon OpenSearch Service, Logstash, and OpenSearch Dashboards.
CScale down the application to one larger EC2 instance where only one instance is recording logs.
DInstall the unified Amazon CloudWatch agent on the EC2 instances. Configure the agent to push the application logs to CloudWatch.
A company is creating an application that processes .csv files from Amazon S3. A developer has created an S3 bucket. The developer has also created an AWS Lambda function to process the .csv files from the S3 bucket.
Which combination of steps will invoke the Lambda function when a .csv file is uploaded to Amazon S3? (Choose two.)
ACreate an Amazon EventBridge rule. Configure the rule with a pattern to match the S3 object created event.
BSchedule an Amazon EventBridge rule to run a new Lambda function to scan the S3 bucket.
CAdd a trigger to the existing Lambda function. Set the trigger type to EventBridge. Select the Amazon EventBridge rule.
DCreate a new Lambda function to scan the S3 bucket for recently added S3 objects.
EAdd S3 Lifecycle rules to invoke the existing Lambda function.
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?
AUse the AWS::Region pseudo parameter.
BRequire the Region as a CloudFormation parameter.
CFind the Region from the AWS::StackId pseudo parameter by using the Fn::Split intrinsic function.
DDynamically import the Region by referencing the relevant parameter in AWS Systems Manager Parameter Store.
A company has hundreds of AWS Lambda functions that the company's QA team needs to test by using the Lambda function URLs. A developer needs to configure the authentication of the Lambda functions to allow access so that the QA IAM group can invoke the Lambda functions by using the public URLs.
Which solution will meet these requirements?
ACreate a CLI script that loops on the Lambda functions to add a Lambda function URL with the AWS_IAM auth type. Run another script to create an IAM identity-based policy that allows the lambda:InvokeFunctionUrl action to all the Lambda function Amazon Resource Names (ARNs). Attach the policy to the QA IAM group.
BCreate a CLI script that loops on the Lambda functions to add a Lambda function URL with the NONE auth type. Run another script to create an IAM resource-based policy that allows the lambda:InvokeFunctionUrl action to all the Lambda function Amazon Resource Names (ARNs). Attach the policy to the QA IAM group.
CCreate a CLI script that loops on the Lambda functions to add a Lambda function URL with the AWS_IAM auth type. Run another script to loop on the Lambda functions to create an IAM identity-based policy that allows the lambda:InvokeFunctionUrl action from the QA IAM group's Amazon Resource Name (ARN).
DCreate a CLI script that loops on the Lambda functions to add a Lambda function URL with the NONE auth type. Run another script to loop on the Lambda functions to create an IAM resource-based policy that allows the lambda:InvokeFunctionUrl action from the QA IAM group's Amazon Resource Name (ARN).
A developer maintains a critical business application that uses Amazon DynamoDB as the primary data store. The DynamoDB table contains millions of documents and receives 30-60 requests each minute. The developer needs to perform processing in near-real time on the documents when they are added or updated in the DynamoDB table.
How can the developer implement this feature with the LEAST amount of change to the existing application code?
ASet up a cron job on an Amazon EC2 instance. Run a script every hour to query the table for changes and process the documents.
BEnable a DynamoDB stream on the table. Invoke an AWS Lambda function to process the documents.
CUpdate the application to send a PutEvents request to Amazon EventBridge. Create an EventBridge rule to invoke an AWS Lambda function to process the documents.
DUpdate the application to synchronously process the documents directly after the DynamoDB write.
A developer is writing an application for a company. The application will be deployed on Amazon EC2 and will use an Amazon RDS for Microsoft SQL Server database. The company's security team requires that database credentials are rotated at least weekly.
How should the developer configure the database credentials for this application?
ACreate a database user. Store the user name and password in an AWS Systems Manager Parameter Store secure string parameter. Enable rotation of the AWS Key Management Service (AWS KMS) key that is used to encrypt the parameter.
BEnable IAM authentication for the database. Create a database user for use with IAM authentication. Enable password rotation.
CCreate a database user. Store the user name and password in an AWS Secrets Manager secret that has daily rotation enabled.
DUse the EC2 user data to create a database user. Provide the user name and password in environment variables to the application.
A real-time messaging application uses Amazon API Gateway WebSocket APIs with backend HTTP service. A developer needs to build a feature in the application to identify a client that keeps connecting to and disconnecting from the WebSocket connection. The developer also needs the ability to remove the client.
Which combination of changes should the developer make to the application to meet these requirements? (Choose two.)
ASwitch to HTTP APIs in the backend service.
BSwitch to REST APIs in the backend service.
CUse the callback URL to disconnect the client from the backend service.
DAdd code to track the client status in Amazon ElastiCache in the backend service.
EImplement $connect and $disconnect routes in the backend service.
A developer is creating an application that will give users the ability to store photos from their cellphones in the cloud. The application needs to support tens of thousands of users. The application uses an Amazon API Gateway REST API that is integrated with AWS Lambda functions to process the photos. The application stores details about the photos in Amazon DynamoDB.
Users need to create an account to access the application. In the application, users must be able to upload photos and retrieve previously uploaded photos. The photos will range in size from 300 KB to 5 MB.
Which solution will meet these requirements with the LEAST operational overhead?
AUse Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos and details in the DynamoDB table. Retrieve previously uploaded photos directly from the DynamoDB table.
BUse Amazon Cognito user pools to manage user accounts. Create an Amazon Cognito user pool authorizer in API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
CCreate an IAM user for each user of the application during the sign-up process. Use IAM authentication to access the API Gateway API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as part of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
DCreate a users table in DynamoDB. Use the table to manage user accounts. Create a Lambda authorizer that validates user credentials against the users table. Integrate the Lambda authorizer with API Gateway to control access to the API. Use the Lambda function to store the photos in Amazon S3. Store the object's S3 key as par of the photo details in the DynamoDB table. Retrieve previously uploaded photos by querying DynamoDB for the S3 key.
A developer has written code for an application and wants to share it with other developers on the team to receive feedback. The shared application code needs to be stored long-term with multiple versions and batch change tracking.
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