Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 501 discussion

Kinesis Data Firehose is near real time (min. 60 sec). - The question is focusing on real time processing/analysis + efficiency -> Kinesis Data Stream is real time ingestion. https://www.amazonaws.cn/en/kinesis/data-firehose/#:~:text=Near%20real%2Dtime,is%20sent%20to%20the%20service.

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.

The question says that the data is analyzed first then ingest into s3 for data lake

Kinesis Firehouse = ingesting Kinesis Datastreams = storing Kinesis analytics = doing analysis

Data is stored on S3 so real-time data analytics can be done with Kinesis Data Analytics which rules out Lambda solutions (A and D) as they are more operationally complex. B is not useful it is more of ETL. Firehose is actually to distribute data but given that company is already receiving data somehow so Firehose can basically distribute it to S3 with minimum latency. I have to admit this was confusing. I would have used Kinesis Streams to store on S3 and Data Analytics but combination is confusing!

"payment data every minute on average" is a good-to-go- for firehose. Also firehose is more operational efficient compared to Data Streams.

I think this is A. The purpose of Firehose is to ingest and deliver to a data store, no to an analytics service. And in fact you can use lambda for real time analysis, such I find A more aligned.

Firehose has a 60 sec delay so real time analytics should be without real time data isn't that problematic? Why would you have then real time analytics then in the first place?

Kinesis Data Streams focuses on ingesting and storing data streams while Kinesis Data Firehose focuses on delivering data streams to select destinations, as the motive of the question is to do analytics, the answer should be C.

Kinesis Data Streams focuses on ingesting and storing data streams while Kinesis Data Firehose focuses on delivering data streams to select destinations, as the motive of the question is to do analytics, the answer should be C.

Quote “Connect with 30+ fully integrated AWS services and streaming destinations such as Amazon Simple Storage Service (S3)” at https://aws.amazon.com/kinesis/data-firehose/ . Amazon Kinesis Data Analystics https://aws.amazon.com/kinesis/data-analytics/

Use Kinesis Firehose to capture and deliver the data to Kinesis Analytics to perform analytics.

Did anyome took tge exam recently, How many questiona were there

Can we understand why admin's answers are mostly wrong? Or is this done on purpose?

Amazon Kinesis Data Firehose the most optimal variant

Shouldn't C be more appropriate?