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Amazon MLS-C01 Exam - 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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Rueben
3 months ago
I think D is overkill for this scenario. Just go with C!
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Celeste
3 months ago
Kinesis Data Streams (B) could work, but it might add some delay.
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Phyliss
4 months ago
Wait, can QuickSight really access DynamoDB directly? That sounds too easy!
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Hyun
4 months ago
I agree, C is definitely the most efficient choice here!
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Avery
4 months ago
Option C seems like the fastest way to get data directly from DynamoDB to QuickSight.
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Bernadine
4 months ago
I recall AWS Glue being more for batch processing, so I doubt option A would be the best for real-time insights.
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Solange
4 months ago
I practiced a similar question where Kinesis was involved, and it seemed to have the least delay, so I’m leaning towards option B again.
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Nohemi
5 months ago
I’m not entirely sure, but I think QuickSight can connect directly to DynamoDB, which makes option C sound appealing.
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Bernardine
5 months ago
I remember studying about using Kinesis for real-time data streaming, so option B seems like it could be the right choice.
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Ezekiel
5 months ago
I'm a bit confused by this question. Focus groups and functional decomposition don't seem directly relevant to analyzing the relationships between people. I'm leaning towards Organizational modelling, but I want to double-check my understanding.
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Francoise
5 months ago
This looks like a classic question testing our knowledge of Marketing Cloud data integration. I'm confident I can identify the correct answer.
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Wei
5 months ago
I'm torn between reverse innovation and localization... I know both involve market strategies, but I'm unsure of the specifics in this context.
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Mariann
10 months 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
10 months 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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Tayna
8 months ago
I agree, option A won't give us the near real-time access we need. Kinesis Data Streams or Data Firehose would be a better choice.
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Dannie
9 months ago
D) Use Amazon Kinesis Data Firehose to export the data from Amazon DynamoDB to Amazon S3. Configure OuickSight to access the data in Amazon S3.
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Toshia
9 months ago
B) Use Amazon Kinesis Data Streams to export the data from Amazon DynamoDB to Amazon S3. Configure OuickSight to access the data in Amazon S3.
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Lisbeth
10 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
10 months ago
I agree, using S3 for QuickSight access is a smart move. It's a reliable storage solution.
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Roselle
10 months ago
Option B sounds like the best choice. Kinesis Data Streams can handle the continuous flow of new orders.
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Flo
10 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
10 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
10 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
10 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
11 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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Bernardo
9 months ago
D: I see your point, but I still think option A is the way to go for minimal delay in accessing new order information.
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Wilburn
9 months ago
C: I'm not so sure about that. Option D with Kinesis Data Firehose might be a better fit for real-time data access.
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Alfred
9 months ago
B: I agree, option A seems like the most efficient solution for this scenario.
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Stephane
10 months 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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