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Amazon Exam MLS-C01 Topic 8 Question 79 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 79
Topic #: 8
[All MLS-C01 Questions]

A company processes millions of orders every day. The company uses Amazon DynamoDB tables to store order information. When customers submit new orders, the new orders are immediately added to the DynamoDB tables. New orders arrive in the DynamoDB tables continuously.

A data scientist must build a peak-time prediction solution. The data scientist must also create an Amazon OuickSight dashboard to display near real-lime order insights. The data scientist needs to build a solution that will give QuickSight access to the data as soon as new order information arrives.

Which solution will meet these requirements with the LEAST delay between when a new order is processed and when QuickSight can access the new order information?

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Suggested Answer: B, D, F

by Yvonne at Sep 03, 2023, 03:00 AM

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Lisbeth
17 days ago
I'll have to go with Option B. Kinesis Data Streams can give me that low-latency data access, and S3 is a great place to store the data for QuickSight.
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Flo
17 days ago
I'm not sure about option C. Directly accessing data from DynamoDB might not provide the real-time insights needed for the QuickSight dashboard.
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Helga
19 days ago
I agree with Gussie. Amazon Kinesis Data Streams is designed for real-time data processing, which is crucial for this scenario.
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Melissa
19 days ago
Hmm, Option D seems like the way to go. Kinesis Data Firehose can handle the real-time data ingestion and push it to S3, making it accessible for QuickSight.
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Gussie
20 days ago
I think option B is the best choice. Using Amazon Kinesis Data Streams will ensure near real-time data access for QuickSight.
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Millie
24 days ago
Option C looks promising, but I'm not sure if QuickSight can handle the load of direct API calls to DynamoDB. That could get expensive.
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