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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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Mariann
17 days ago
Wait, are we sure the orders aren't just being teleported directly to QuickSight? That would be the ultimate in low-latency.
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Dalene
18 days ago
Option A? Really? Glue is great, but it won't give me the near real-time access I need. Guess the data scientist is still learning the ropes.
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Lisbeth
1 months 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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Sina
11 days ago
I agree, using S3 for QuickSight access is a smart move. It's a reliable storage solution.
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Roselle
12 days ago
Option B sounds like the best choice. Kinesis Data Streams can handle the continuous flow of new orders.
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Flo
1 months 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
1 months 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
1 months 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
1 months 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
1 months 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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Stephane
12 days ago
A: I think option A is the best choice. Using AWS Glue to export data to S3 will ensure QuickSight can access it quickly.
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