Which solution would be MOST efficient?
A manufacturing company wants to implement predictive maintenance on its machinery equipment. The company will install thousands of loT sensors that will send data to AWS in real time A solutions architect is tasked with implementing a solution that will receive events in an ordered manner for each machinery asset and ensure that data is saved for further processing at a later time
Which solution would be MOST efficient?
A . Use Amazon Kinesis Data Streams for real-time events with a partition for each equipment asset Use Amazon Kinesis Data Firehose to save data to Amazon S3
B . Use Amazon Kinesis Data Streams for real-time events with a shard for each equipment
asset Use Amazon Kinesis Data Firehose to save data to Amazon EBS
C . Use an Amazon SQS FIFO queue for real-time events with one queue for each equipment asset Trigger an AWS Lambda function for the SQS queue to save data to Amazon EFS
D . Use an Amazon SQS standard queue for real-time events with one queue for each equipment asset Trigger an AWS Lambda function from the SQS queue to save data to Amazon S3
Answer: A
Explanation:
Amazon SQS Introduces FIFO Queues with Exactly-Once Processing and Lower Prices for Standard Queues
You can now use Amazon Simple Queue Service (SQS) for applications that require messages to be processed in a strict sequence and exactly once using First-in, First-out (FIFO) queues. FIFO queues are designed to ensure that the order in which messages are sent and received is strictly preserved and that each message is processed exactly once.
Amazon SQS is a reliable and highly-scalable managed message queue service for storing messages in transit between application components. FIFO queues complement the existing Amazon SQS standard queues, which offer high throughput, best-effort ordering, and at-least-once delivery. FIFO queues have essentially the same features as standard queues, but provide the added benefits of supporting ordering and exactly-once processing. FIFO queues provide additional features that help prevent unintentional duplicates from being sent by message producers or from being received by message consumers. Additionally, message groups allow multiple separate ordered message streams within the same queue.
https://aws.amazon.com/about-aws/whats-new/2016/11/amazon-sqs-introduces-fifo-queues-with-exactly-once-processing-and-lower-prices-for-standard-queues/
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