SAA-C03 Question 455
Single answerA company is building an IoT application that collects sensor data from devices located in remote areas with intermittent internet connectivity. They want to process the data locally at the source to reduce latency and only send aggregated results to the cloud for storage and further analysis. Which solution is the MOST appropriate for this use case?
- A
Deploy AWS Lambda@Edge functions to process the data locally on the IoT devices.
- B
Use Amazon S3 Transfer Acceleration to speed up data transfer from IoT devices to the cloud for processing.
- C
Implement AWS IoT Greengrass on the IoT devices for local data processing and aggregation.
- D
Set up Amazon EC2 instances in an AWS Region close to the IoT devices for real-time data processing.
Show answer and explanation
Correct answer: C
Explanation
AWS IoT Greengrass is designed specifically to enable edge processing by allowing IoT devices to run Lambda functions locally, process data in real-time, and operate with intermittent connectivity. This solution aligns perfectly with the requirements of the scenario, where local data processing and reduced reliance on cloud connectivity are essential.
- A. Incorrect.
AWS Lambda@Edge is designed for running code at CloudFront edge locations to customize content delivery. It does not run locally on IoT devices, so this is not suitable for edge processing in this scenario.
- B. Incorrect.
Amazon S3 Transfer Acceleration is a feature to optimize file uploads to S3 but does not address the need for local edge processing or intermittent connectivity in the use case.
- C. Correct.
AWS IoT Greengrass allows IoT devices to process data locally, respond to events in near-real-time, and send only necessary data to the cloud. This makes it the most appropriate solution for the given scenario.
- D. Incorrect.
Amazon EC2 instances require internet connectivity and are hosted in AWS Regions or Availability Zones, not on the edge or locally, making this unsuitable for processing data in remote areas with intermittent connectivity.