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Amazon Exam DAS-C01 Topic 4 Question 85 Discussion

Actual exam question for Amazon's DAS-C01 exam
Question #: 85
Topic #: 4
[All DAS-C01 Questions]

A company uses Amazon Connect to manage its contact center. The company uses Salesforce to manage its customer relationship management (CRM) dat

a. The company must build a pipeline to ingest data from Amazon Connect and Salesforce into a data lake that is built on Amazon S3.

Which solution will meet this requirement with the LEAST operational overhead?

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Suggested Answer: B

by Joesph at Jan 26, 2024, 12:31 AM

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Lore
1 years ago
Haha, I'm just hoping they don't throw us a curveball and make the 'least operational overhead' part a trick question. Maybe they'll sneak in some obscure AWS service that's even better than the ones mentioned.
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Margery
11 months ago
Good idea, we don't want to get caught off guard during the exam.
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Johnna
11 months ago
Let's just make sure we understand the core services mentioned in the question.
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Cristal
12 months ago
I heard that sometimes they do include obscure AWS services in the questions.
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Willard
12 months ago
Hopefully they won't throw in any surprises in the exam.
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Winfred
12 months ago
It's always best to go with the solution that requires the least operational overhead.
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Marleen
12 months ago
I agree, that seems like the most efficient option.
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Valentine
12 months ago
I think the answer is A) Use Amazon Kinesis Data Streams to ingest the Amazon Connect data. Use Amazon AppFlow to ingest the Salesforce data.
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Delbert
1 years ago
Hmm, I'm not so sure about that. Option A also seems like a valid choice, using Kinesis Data Streams and AppFlow. That might offer a bit more flexibility and control over the data pipelines. But I agree, the key is minimizing operational overhead.
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Ronnie
1 years ago
I think option C is the way to go. Kinesis Data Firehose is designed for high-throughput, real-time data ingestion, which sounds perfect for the Amazon Connect data. And AppFlow can handle the Salesforce data seamlessly. That seems like the most streamlined and low-maintenance solution.
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Irving
1 years ago
This question seems straightforward, but it requires a good understanding of the different AWS services and their use cases. I'm not sure which option would have the least operational overhead, as that likely depends on factors like the volume and complexity of the data being ingested.
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