SAP-C02 · Question #767
A company is migrating its on-premises IoT platform to AWS. The platform consists of the following components: - A MongoDB cluster as a data store for all collected and processed IoT data. - An applic
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Question
A company is migrating its on-premises IoT platform to AWS. The platform consists of the following components:
- A MongoDB cluster as a data store for all collected and processed IoT
data.
- An application that uses Message Queuing Telemetry Transport (MQTT)
to connect to IoT devices every 5 minutes to collect data.
- An application that runs jobs periodically to generate reports from
the IoT data. The jobs take 120-600 seconds to finish running.
- A web application that runs on a web server. End users use the web
application to generate reports that are accessible to the general public. The company needs to migrate the platform to AWS to reduce operational overhead while maintaining performance. Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose three.)
Options
- ACreate AWS Step Functions state machines with AUS Lambda tasks to prepare the reports and
- BCreate an AWS Lambda function. Program the Lambda function to connect to the IoT devices.
- CConfigure an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2
- DConnect the IoT devices to AWS IoT Core to publish messages. Create an AWS IoT rule that
- EMigrate the MongoDB cluster to Amazon DocumentDB (with MongoDB compatibility).
- FMigrate the MongoDB cluster to Amazon EC2 instances.
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