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NEW QUESTION 40
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. 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 B. processes each bid as soon as a user submits itB. 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 1C. 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 recordsD. 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 Streams

Answer: B

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

 

NEW QUESTION 41
A development team has created a series of AWS CloudFormation templates to help deploy services. They created a template for a network/virtual private (VPC) stack, a database stack, a bastion host stack, and a web application-specific stack. Each service requires the deployment of at least:
Each template has multiple input parameters that make it difficult to deploy the services individually from the AWS CloudFormation console. The input parameters from one stack are typically outputs from other stacks.
For example, the VPC ID, subnet IDs, and security groups from the network stack may need to be used in the application stack or database stack.
Which actions will help reduce the operational burden and the number of parameters passed into a service deployment? (Choose two.)

A. Create a new AWS CloudFormation template for each service. After the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new stack. Call the newly created service stack from the AWS CloudFormation console to deploy the specific service with a subset of the parameters previously required.B. Create a new portfolio in AWS Service Catalog for each service. Create a product for each existing AWS CloudFormation template required to build the service. Add the products to the portfolio that represents that service in AWS Service Catalog. To deploy the service, select the specific service portfolio and launch the portfolio with the necessary parameters to deploy all templates.C. Use AWS Step Functions to define a new service. Create a new AWS CloudFormation template for each service. After the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new service template. Configure AWS Step Functions to call the service template directly. In the AWS Step Functions console, execute the step.D. Create a new portfolio for the Services in AWS Service Catalog. Create a new AWS CloudFormation template for each service. After the existing templates to use cross-stack references to eliminate passing many parameters to each template. Call each required stack for the application as a nested stack from the new stack. Create a product for each application. Add the service template to the product. Add each new product to the portfolio. Deploy the product from the portfolio to deploy the service with the necessary parameters only to start the deployment.E. Set up an AWS CodePipeline workflow for each service. For each existing template, choose AWS CloudFormation as a deployment action. Add the AWS CloudFormation template to the deployment action. Ensure that the deployment actions are processed to make sure that dependences are obeyed. Use configuration files and scripts to share parameters between the stacks. To launch the service, execute the specific template by choosing the name of the service and releasing a change.

Answer: C,E

 

NEW QUESTION 42
A company that runs applications on AWS recently subscribed to a new software-as-a-service (SaaS) data vendor. The vendor provides the data by way of a REST API that the vendor hosts in its AWS environment.
The vendor offers multiple options for connectivity to the API and is working with the company to find the best way to connect The company's AWS account does not allow outbound internet access from its AWS environment. The vendor's services run on AWS in the same AWS Region as me company's applications A solutions architect must implement connectivity to the vendor's API so that the API is highly available in the company's VPC.
Which solution will meet these requirements?

A. Connect to the vendor by way of a VPC endpoint service that uses AWS PrivateLinkB. Connect to a public bastion host that the vendor provides. Tunnel the API traffic.C. Connect to the vendor's public API address for the data serviceD. Connect to the vendor by way of a VPC peering connection between the vendor's VPC and the company's VPC

Answer: A

 

NEW QUESTION 43
A company needs to store and process image data that will be uploaded from mobile devices using a custom mobile app. Usage peaks between 8 AM and 5 PM on weekdays, with thousands of uploads per minute. The app is rarely used at any other time A user is notified when image processing is complete When combination of actions should a solutions architect take to ensure image processing can scale to handle the load? (Select THREE )

A. Invoke an AWS Lambda function to perform image processing when a message is available in the queueB. Upload files from the mobile software directly to Amazon S3 Use S3 event notifications to create a message in an Amazon Simple Queue Service (Amazon SQS) standard queue.C. Send a push notification to the mobile app by using Amazon Simple Email Service (Amazon SES) when processing is complete.D. Upload files from the mobile software directly to Amazon S3. Use S3 event notifications to create a message in an Amazon MQ queue.E. Send a push notification to the mobile app by using Amazon Simple Notification Service (Amazon SNS) when processing is completeF. Invoke an S3 Batch Operations job to perform image processing when a message is available in the queue

Answer: D,E,F

 

NEW QUESTION 44
A multimedia company needs to deliver its video-on-demand (VOD) content to its subscribers in a cost-effective way. The video files range in size from 1-15 GB and are typically viewed frequently for the first
6 months alter creation, and then access decreases considerably. The company requires all video files to remain immediately available for subscribers. There are now roughly 30.000 files, and the company anticipates doubling that number over time.
What is the MOST cost-effective solution for delivering the company's VOD content?

A. Store the video files in an Amazon S3 bucket using S3 Intelligent-Tiering. Use Amazon CloudFront to deliver the content with the S3 bucket as the origin.B. Use AWS Elemental MediaConvert and store the adaptive bitrate video files in Amazon S3. Configure an AWS Elemental MediaPackage endpoint to deliver the content from Amazon S3.C. Store the video files in Amazon Elastic File System (Amazon EFS) Standard. Enable EFS lifecycle management to move the video files to EFS Infrequent Access after 6 months. Create an Amazon EC2 Auto Scaling group behind an Elastic Load Balancer to deliver the content from Amazon EFS.D. Store the video files in Amazon S3 Standard. Create S3 Lifecycle rules to move the video files to S3 Standard-Infrequent Access (S3 Standard-IA) after 6 months and to S3 Glacier Deep Archive after 1 year. Use Amazon CloudFront to deliver the content with the S3 bucket as the origin.

Answer: A

 

NEW QUESTION 45
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