Topic 1 Question 501
A company wants to ingest customer payment data into the company's data lake in Amazon S3. The company receives payment data every minute on average. The company wants to analyze the payment data in real time. Then the company wants to ingest the data into the data lake.
Which solution will meet these requirements with the MOST operational efficiency?
Use Amazon Kinesis Data Streams to ingest data. Use AWS Lambda to analyze the data in real time.
Use AWS Glue to ingest data. Use Amazon Kinesis Data Analytics to analyze the data in real time.
Use Amazon Kinesis Data Firehose to ingest data. Use Amazon Kinesis Data Analytics to analyze the data in real time.
Use Amazon API Gateway to ingest data. Use AWS Lambda to analyze the data in real time.
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コメント(5)
- 正解だと思う選択肢: C
By leveraging the combination of Amazon Kinesis Data Firehose and Amazon Kinesis Data Analytics, you can efficiently ingest and analyze the payment data in real time without the need for manual processing or additional infrastructure management. This solution provides a streamlined and scalable approach to handle continuous data ingestion and analysis requirements.
👍 5LONGMEN2023/05/19 Shouldn't C be more appropriate?
👍 3kailu2023/05/16- 正解だと思う選択肢: C
Amazon Kinesis Data Firehose the most optimal variant
👍 3nosense2023/05/17
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