Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 226 discussion

A, E is the correct answer "RESTful web services" => API Gateway. "EC2 instance receives the raw data, transforms the raw data, and stores all the data in an Amazon S3 bucket" => GLUE with (Extract - Transform - Load)

A. It automatically discovers the schema of the data and generates ETL code to transform it. E. API Gateway can be used to receive the raw data from the remote devices via RESTful web services. It provides a scalable and managed infrastructure to handle the incoming requests. The data can then be sent to an Amazon Kinesis data stream, which is a highly scalable and durable real-time data streaming service. From there, Amazon Kinesis Data Firehose can be configured to use the data stream as a source and deliver the transformed data to Amazon S3. This combination of services allows for the seamless ingestion and processing of data while minimizing operational overhead. B. It does not directly address the need for scalable data processing and storage. It focuses on managing DNS and routing traffic to different endpoints. C. Adding more EC2 can lead to increased operational overhead in terms of managing and scaling the instances. D. Using SQS and EC2 for processing data introduces more complexity and operational overhead.

AE breaks the original workflow "receive raw data - process - store" to "receive - store- process - store again" which leads to additional storage consuming (and thus money consuming).

A - Use AWS Glue to process the raw data in Amazon S3 E - Use Amazon API Gateway to send the raw data to an Amazon Kinesis data stream. Configure Amazon Kinesis Data Firehose to use the data stream as a source to deliver the data to Amazon S3

E then A no doubt.

A. It automatically discovers the schema of the data and generates ETL code to transform it. E. API Gateway can be used to receive the raw data from the remote devices via RESTful web services. It provides a scalable and managed infrastructure to handle the incoming requests. The data can then be sent to an Amazon Kinesis data stream, which is a highly scalable and durable real-time data streaming service. From there, Amazon Kinesis Data Firehose can be configured to use the data stream as a source and deliver the transformed data to Amazon S3. This combination of services allows for the seamless ingestion and processing of data while minimizing operational overhead.

A - Use AWS Glue to process the raw data in Amazon S3 E - Use Amazon API Gateway to send the raw data to an Amazon Kinesis data stream. Configure Amazon Kinesis Data Firehose to use the data stream as a source to deliver the data to Amazon S3

Correct answer: D and E

Why not BC?

Why it not CE? Add more EC2 instances to accommodate the increasing amount of incoming data?

minimizes operational overhead = Serverless Glue, Kinesis Datastream, S3 are serverless

How about "C" to increase EC2 instances for the increased devices soon?

Glue and API

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