Exam AWS Certified Data Analytics - Specialty topic 1 question 121 discussion

Answer: C https://aws.amazon.com/blogs/apn/building-secure-and-private-data-flows-between-aws-and-salesforce-using-amazon-appflow/;https://aws.amazon.com/connect/faqs/

Both A and C are right Amazon Connect can stream metrics and agent event data to Amazon Kinesis Data Stream or Amazon Kinesis Data Firehose https://aws.amazon.com/connect/faqs/ But the question asks for the least operational overhead, so Firehose is more suitable for the data pipeline as its further sources and sinks

Amazon Connect has data streaming feature. so Amazon Connect can stream Firehose and Streams. Which is more unmanaged tool? It is Firehose. C is correct.

C: I passed the test

The most efficient way to collect data in the data lake with the least operational overhead is option C: Use Amazon Kinesis Data Firehose to ingest Amazon Connect data and Amazon AppFlow to ingest Salesforce data. Amazon Kinesis Data Firehose is a fully managed service that can reliably capture and load streaming data into Amazon S3 with no operational overhead. It can also transform the incoming data before storing it in S3. Amazon AppFlow is a fully managed integration service that can securely transfer data between different SaaS applications, including Salesforce and S3. It supports incremental data transfers and can also transform the data during the transfer process. Using Kinesis Data Firehose for Amazon Connect data and AppFlow for Salesforce data provides a simple and scalable solution that requires minimal operational overhead, allowing the data engineering team to focus on other tasks.

Correct answer is C as the most efficient way is to use Amazon Connect integration with Kinesis Data Firehose to stream data directly to S3 and AppFlow to ingest data from Salesforce data to S3. Option A is also correct, although it's valid, it is not the most efficient solution.

Correct answer is C as the most efficient way is to use Amazon Connect integration with Kinesis Data Firehose to stream data directly to S3 and AppFlow to ingest data from Salesforce data to S3. Option A is wrong as although it's valid, it is not the most efficient solution. Options B & D are wrong as Kinesis does not integrate directly with Salesforce and AppFlow is a better solution. https://aws.amazon.com/blogs/apn/building-secure-and-private-data-flows-between-aws-and-salesforce-using-amazon-appflow/ https://aws.amazon.com/connect/faqs/

Answer: C Both A and C are correct but C provides a reduced operational overhead as it is fully managed

c to use KDF

Sounds like C for s3 destinations

C, since the kinesis data stream can not write to S3 directly.

Both A and C are the same option. Admins, please look into the missing answer option.

A is the answer https://aws.amazon.com/quickstart/connect/data-streaming/

A. Amazon Connect feeds to Kinesis Data Stream. The other 3 answer is incorrectly using Firehose. https://aws.amazon.com/quickstart/connect/data-streaming/

C is the Answer.