单选题 A manufacturing company wants to implement predictive maintenance on its machinery equipment. The company will install thousands of loT sensors that will send datato 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 equipmentasset 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 SQSstandard 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
一家制造公司想要对其机械设备进行预测性维护。该公司将会安装数千个1oT传感器实时向AWS传输数据。解决方案架构师现在需要实施方案让每个机械资产都能够有序接受事件,并且确保数据能够被储存起来供之后的进一步处理。以下哪个解决方案最有效率?
A在每个设备资产都配备一个分片的情况下使用Amazon Kinesis Data streams运行实时事件。使用Amazon Kinesis Data Firehose将数据保存到Amazon S3上
B在每个设备资产都配备一个分区的情况下使用Amazon Kinesis Data Streams运行实时事件。使用Amazon Kinesis Data firehose将数据保存到Amazon EBS上。
C在每个设备资产都配备一个队列的情况下使用Amazon SQS FIFO队列运行实时事件。为了在Amazon EFS上存储数据,由SQS队列启用AWS Lambda功能
D在每个设备资产都配备—个队列的情况下使用Amazon SQS标准队列运行实时事件。为了在Amazon S3上存储数据,由SQS队列启用AWS Lambda功能。
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