Exam AWS Certified Data Analytics - Specialty topic 1 question 53 discussion

A Dedicated throughput equals enhanced fan-out. So BCD dropped. https://docs.aws.amazon.com/streams/latest/dev/enhanced-consumers.html

A: Developing Custom Consumers with Dedicated Throughput (Enhanced Fan-Out)

A: I passed the test

Correct answer is A as Kinesis Data Streams with Enhanced Fanout provides dedicated throughput for each consumer. In Amazon Kinesis Data Streams, you can build consumers that use a feature called enhanced fan-out. This feature enables consumers to receive records from a stream with throughput of up to 2 MB of data per second per shard. This throughput is dedicated, which means that consumers that use enhanced fan-out don't have to contend with other consumers that are receiving data from the stream. Kinesis Data Streams pushes data records from the stream to consumers that use enhanced fan-out. Therefore, these consumers don't need to poll for data. Option B is wrong as there is no option to open support case to enable dedicated throughput. Option C is wrong as Kinesis Data Firehose does not support enhanced fan-out feature. D is incorrect. An Auto Scaling group of EC2 instances will not provide dedicated throughput for the consumers. You have to enable the enhanced fan-out feature in Amazon Kinesis Data Streams.

"dedicated throughput for each consumer" - this is the key statement here.

Selected Answer: A

Answer is A

Have the app call the PutRecords API to send data to Amazon Kinesis Data Streams. Use the enhanced fan-out feature while consuming the data. ==> PutRecords aggregate while sending data to Kinesis Data Streams to increase producer throghuput and Enhanced fan-out increase consumer through put B. Have the app call the PutRecordBatch API to send data to Amazon Kinesis Data Firehose. Submit a support case to enable dedicated throughput on the account. ==> Question is about stream processing using producer and consumer. C. Have the app use Amazon Kinesis Producer Library (KPL) to send data to Kinesis Data Firehose. Use the enhanced fan-out feature while consuming the data. ==> Enhanced fanout feature is not part of Firehose D. Have the app call the PutRecords API to send data to Amazon Kinesis Data Streams. Host the stream-processing application on Amazon EC2 with Auto Scaling. ==> We don't need EC@

A is the right answer

A. Whatever how you consume your data (EC2 in ASG or not), the stream must have Enhanced fan out.

A for sure.

Answer is A There is no limit for the enhanced fan out . Check this link.. https://aws.amazon.com/kinesis/data-streams/faqs/ Q: Is there a limit on the number of consumers using enhanced fan-out on a given stream? There is a default limit of 20 consumers using enhanced fan-out per data stream. If you need more than 20, please submit a limit increase request though AWS support. Keep in mind that you can have more than 20 total consumers reading from a stream by having 20 consumers using enhanced fan-out and other consumers not using enhanced fan-out at the same time.

How A is even possible ! enhanced fan out has limitation of 20 consumers. I will go with D

Enhanced fan out has a limit of 20 consumer per stream (not shard, stream). In a case of thousand or maybe millions devices I don't think is a valid solution. I'll probably go with D here.

Option A is the right choice.

A is correct