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NEW QUESTION 47
An auction website enables users to bid on collectible items The auction rules require that each bid is processed only once and in the order it was received The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams A single 12 large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid The auction site is growing in popularity, but users are complaining that some bids are not registering Troubleshooting indicates that the bid processor is too slow during peak demand hours sometimes crashes while processing and occasionally loses track of which record is being processed What changes should make the bid processing more reliable?

A. Switch the EC2 instance type from t2 large to a larger general compute instance type Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor based on the incomingRecords metric in Kinesis Data StreamsB. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams Refactor the bid processor to flag each record in Kinesis Data Streams as being unread processing and processed At the start of each bid processing run; scan Kinesis Data Streams for unprocessed recordsC. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams Refactor the bid processor to continuously consume the SQS queue Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1D. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams Configure the SNS topic to trigger an AWS Lambda function that processes each bid as soon as a user submits it

Answer: C

Explanation:
Explanation
https://aws.amazon.com/sqs/faqs/#:~:text=A%20single%20Amazon%20SQS%20message,20%2C000%20for%2

 

NEW QUESTION 48
A development team s Deploying new APIs as serverless applications within a company. The team is currently using the AWS Maragement Console to provision Amazon API Gateway. AWS Lambda, and Amazon DynamoDB resources A solutions architect has been tasked with automating the future deployments of these serveriess APIs
How can this be accomplished?

A. Use the AWS Serverless Application Model to define the resources Upload a YAML template and application files to the code repository Use AWS CodePipeline to conned to the code repository and to create an action to build using AWS CodeBuild. Use the AWS CloudFormabon deployment provider m CodePipeline to deploy the solution.B. Use AWS CloudFonTiation with a Lambda-backed custom resource to provision API Gateway Use the MfS: :OynMoDB::Table and AWS::Lambda::Function resources to create the Amazon DynamoOB table and Lambda functions Write a script to automata the deployment of the CloudFormation template.C. Use AWS CloudFormation to define the serverless application. Implement versioning on the Lambda functions and create aliases to point to the versions. When deploying, configure weights to implement shifting traffic to the newest version, and gradually update the weights as traffic moves overD. Commit the application code to the AWS CodeCommit code repository. Use AWS CodePipeline and connect to the CodeCommit code repository Use AWS CodeBuild to build and deploy the Lambda functions using AWS CodeDeptoy Specify the deployment preference type in CodeDeploy to gradually shift traffic over to the new version.

Answer: A

 

NEW QUESTION 49
A company has multiple AWS accounts as part of an organization created with AWS Organizations. Each account has a VPC in the us-east-2 Region and is used for either production or development workloads.
Amazon EC2 instances across production accounts need to communicate with each other, and EC2 instances across development accounts need to communicate with each other, but production and development instances should not be able to communicate with each other.
To facilitate connectivity, the company created a common network account. The company used AWS Transit Gateway to create a transit gateway in the us-east-2 Region in the network account and shared the transit gateway with the entire organization by using AWS Resource Access Manager. Network administrators then attached VPCs in each account to the transit gateway, after which the EC2 instances were able to communicate across accounts. However, production and development accounts were also able to communicate with one another.
Which set of steps should a solutions architect take to ensure production traffic and development traffic are completely isolated?

A. Modify the security groups assigned to development EC2 instances to block traffic from production EC2 instances. Modify the security groups assigned to production EC2 instances to block traffic from development EC2 instances.B. Create separate route tables for production and development traffic. Delete each account's association and route propagation to the default AWS Transit Gateway route table. Attach development VPCs to the development AWS Transit Gateway route table and production VPCs to the production route table, and enable automatic route propagation on each attachment.C. Create a tag on each VPC attachment with a value of either production or development, according to the type of account being attached. Using the Network Manager feature of AWS Transit Gateway, create policies that restrict traffic between VPCs based on the value of this tag.D. Create a tag on each VPC attachment with a value of either production or development, according to the type of account being attached. Modify the AWS Transit Gateway routing table to route production tagged attachments to one another and development tagged attachments to one another.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/vpc/latest/tgw/vpc-tgw.pdf

 

NEW QUESTION 50
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