DEA-C01 · Question #138
A media company wants to use Amazon OpenSearch Service to analyze rea-time data about popular musical artists and songs. The company expects to ingest millions of new data events every day. The new…
The correct answer is A. Use Amazon Kinesis Data Firehose and an AWS Lambda function to transform the data and. Amazon Kinesis Data Firehose is a fully managed service that reliably loads streaming data into data lakes, data stores and analytics services like OpenSearch Service. It can automatically scale to match the throughput of your data and requires no ongoing administration.
Question
A media company wants to use Amazon OpenSearch Service to analyze rea-time data about popular musical artists and songs. The company expects to ingest millions of new data events every day. The new data events will arrive through an Amazon Kinesis data stream. The company must transform the data and then ingest the data into the OpenSearch Service domain. Which method should the company use to ingest the data with the LEAST operational overhead?
Options
- AUse Amazon Kinesis Data Firehose and an AWS Lambda function to transform the data and
- BUse a Logstash pipeline that has prebuilt filters to transform the data and deliver the transformed
- CUse an AWS Lambda function to call the Amazon Kinesis Agent to transform the data and deliver
- DUse the Kinesis Client Library (KCL) to transform the data and deliver the transformed data to
How the community answered
(38 responses)- A71% (27)
- B5% (2)
- C11% (4)
- D13% (5)
Explanation
Amazon Kinesis Data Firehose is a fully managed service that reliably loads streaming data into data lakes, data stores and analytics services like OpenSearch Service. It can automatically scale to match the throughput of your data and requires no ongoing administration.
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