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NEW QUESTION 26 A company is building a solution in the AWS Cloud. Thousands or devices will connect to the solution and send dat a. Each device needs to be able to send and receive data in real time over the MQTT protocol. Each device must authenticate by using a unique X.509 certificate. Which solution will meet these requirements with the LEAST operational overhead?

• A. Set up AWS loT Core. For each device, create a corresponding AWS loT thing and provision a certificate. Connect each device to AWS loT Core.
• B. Set up AWS loT Core. For each device, create a corresponding Amazon MQ queue and provision a certificate. Connect each device to Amazon MQ.
• C. Set up an Amazon API Gateway HTTP API and a Network Load Balancer (NLB). Create integration between API Gateway and the NLB. Configure a mutual TLS certificate authorizer on the HTTP API. Run an MQTT broker on an Amazon EC2 instance that the NLB targets. Connect each device to the NLB.
• D. Create a Network Load Balancer (NLB) and configure it with an AWS Lambda authorizer. Run an MQTT broker on Amazon EC2 instances in an Auto Scaling group. Set the Auto Scaling group as the target for the NLB. Connect each device to the NLB.

Answer: C   NEW QUESTION 27 A company is running a web application with On-Demand Amazon EC2 instances in Auto Scaling groups that scale dynamically based on custom metrics After extensive testing, the company determines that the m5.2xlarge instance size is optimal for the workload Application data is stored in db.r4.4xlarge Amazon RDS instances that are confirmed to be optimal. The traffic to the web application spikes randomly during the day. What other cost-optimization methods should the company implement to further reduce costs without impacting the reliability of the application?

• A. Reserve capacity for all EC2 instances and leverage Spot Instance pricing for the RDS database.
• B. Double the instance count in the Auto Scaling groups and reduce the instance size to m5.large
• C. Reduce the RDS instance size to db.r4.xlarge and add five equivalent^ sized read replicas to provide reliability.
• D. Reserve capacity for the RDS database and the minimum number of EC2 instances that are constantly running.

Answer: D Explanation: People are being confused by the term 'reserve capacity'. This is not the same as an on-demand capacity reservation. This article by AWS clearly states that by 'reserving capacity' you are reserving the instances and reducing your costs. See - https://aws.amazon.com/aws-cost-management/aws-cost-optimization/reserved-instances/   NEW QUESTION 28 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. Which combination of actions should a solutions architect take to ensure image processing can scale to handle the load1? (Select THREE.)

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

Answer: A,D,E Explanation: Explanation https://docs.aws.amazon.com/AmazonS3/latest/userguide/batch-ops-basics.html   NEW QUESTION 29 A company is developing a new serverless API by using Amazon API Gateway and AWS Lambd a. The company integrated the Lambda functions with API Gateway to use several shared libraries and custom classes. A solutions architect needs to simplify the deployment of the solution and optimize for code reuse. Which solution will meet these requirements?

• A. Deploy the shared libraries and custom classes to a Docker container in Amazon Elastic Container Service (Amazon ECS) by using the AWS Fargate launch type. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the deployed container as a Lambda layer.
• B. Deploy the shared libraries, custom classes, and code for the API's Lambda functions to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Configure the API's Lambda functions to use the Docker image as the deployment package.
• C. Deploy the shared libraries and custom classes to a Docker image. Upload the image to Amazon Elastic Container Registry (Amazon ECR). Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.
• D. Deploy the shared libraries and custom classes into a Docker image. Store the image in an S3 bucket. Create a Lambda layer that uses the Docker image as the source. Deploy the API's Lambda functions as Zip packages. Configure the packages to use the Lambda layer.

Answer: C   NEW QUESTION 30 ......