Topic 1 Question 888
An ecommerce company wants to collect user clickstream data from the company's website for real-time analysis. The website experiences fluctuating traffic patterns throughout the day. The company needs a scalable solution that can adapt to varying levels of traffic.
Which solution will meet these requirements?
Use a data stream in Amazon Kinesis Data Streams in on-demand mode to capture the clickstream data. Use AWS Lambda to process the data in real time.
Use Amazon Kinesis Data Firehose to capture the clickstream data. Use AWS Glue to process the data in real time.
Use Amazon Kinesis Video Streams to capture the clickstream data. Use AWS Glue to process the data in real time.
Use Amazon Managed Service for Apache Flink (previously known as Amazon Kinesis Data Analytics) to capture the clickstream data. Use AWS Lambda to process the data in real time.
ユーザの投票
コメント(8)
- 正解だと思う選択肢: A
I think Apache Flink (previously known as Amazon Kinesis Data Analytics) would also be fine, but as here it wants to combine it with Lambda, I would rather opt for Kinesis Data Streams + Lambda, so A, because of the figure on this page: https://aws.amazon.com/kinesis/
👍 4sandordini2024/04/30 - 正解だと思う選択肢: A
This one is very tricky, need to read the context carefully: "The company needs a scalable solution that can adapt to varying levels of traffic" -> Both Firehouse and Stream are scalable. But, Firehose is automatic where Stream is not. However, the question does NOT say it should be automatic and Glue is not support real-time analysis. Thats why go for A. B is very close to.
👍 3EdricHoang2024/06/15 - 正解だと思う選択肢: A
Seem AWS Glue does not support process data in real time. I vote for A
👍 2f07ed8f2024/05/26
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