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Answer: Employ AWS Glue for data processing within Amazon S3., Integrate Amazon API Gateway with Amazon Kinesis for streaming data, using Kinesis Data Firehose to stream data into Amazon S3.
The correct answers are A and E. Option A, using AWS Glue to process the raw data in Amazon S3, provides a scalable and serverless solution for data transformation. Option E, utilizing Amazon API Gateway to send the raw data to an Amazon Kinesis data stream and configuring Amazon Kinesis Data Firehose to deliver the data to Amazon S3, offers a scalable, low-overhead method to ingest, process, and store the data. These solutions collectively minimize the operational overhead while handling the growing number of remote devices efficiently.
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A company uses an EC2 instance to manage data collection from remote devices via a RESTful web service, storing the processed data in Amazon S3. With an anticipated increase to millions of devices, the company seeks a scalable, low-overhead solution. Which two steps should be implemented?
A
Employ AWS Glue for data processing within Amazon S3.
B
Leverage Amazon Route 53 for distributing traffic across EC2 instances.
C
Scale infrastructure by adding EC2 instances to handle growing data volumes.
D
Utilize Amazon SQS for raw data ingestion, with EC2 processing the queued data.
E
Integrate Amazon API Gateway with Amazon Kinesis for streaming data, using Kinesis Data Firehose to stream data into Amazon S3.
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