PRC392c_-_FESP24_1836.webp
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PRC392c_-_FESP24_1836.webp

Bài viết gốc: Chủ đề 'PRC392c - FESP24'
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A geological research agency maintains the seismological data for the last 100 years. The data has a velocity of 1GB per minute. You would like to store the data with only the most relevant attributes to build a predictive model for earthquakes.
What AWS services would you use to build the most cost-effective solution with the LEAST amount of infrastructure maintenance?
A. Ingest the data in a Spark Streaming Cluster on EMR use Spark Streaming transformations before writing to S3
B. Ingest the data in Kinesis Data Streams and use an intermediary Lambda function to filter and transform the incoming stream before the output is dumped on S3
C. Ingest the data in Kinesis Data Analytics and use SQL queries to filter and transform the data before writing to S3
D. Ingest the data in Kinesis Data Firehose and use an intermediary Lambda function to filter and transform the incoming stream before the output is dumped on S3

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