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Amazon Exam BDS-C00 Topic 3 Question 105 Discussion

Actual exam question for Amazon's BDS-C00 exam
Question #: 105
Topic #: 3
[All BDS-C00 Questions]

A large oil and gas company needs to provide near real-time alerts when peak thresholds are exceeded in its pipeline system. The company has developed a system to capture pipeline metrics such as flow rate, pressure and temperature using millions of sensors. The sensors deliver to AWS IoT.

What is a cost-effective way to provide near real-time alerts on the pipeline metrics?

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Suggested Answer: B

by Melda at Sep 14, 2024, 03:03 PM

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Adelina
3 days ago
Creating a machine learning model and invoking it with Lambda might be overkill for this use case. The problem doesn't seem to require advanced analytics.
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Tran
4 days ago
Storing the data in DynamoDB and polling for peak metrics from an EC2 instance seems like an overly complex approach. Why not just use the built-in alerting capabilities of AWS IoT?
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Lakeesha
4 days ago
I prefer option B because storing data in DynamoDB and using EC2 application seems more reliable.
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Freeman
7 days ago
I disagree, I believe option D using Amazon Kinesis Streams is more efficient.
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Melissa
8 days ago
Option A is the most straightforward and cost-effective solution. Using an AWS IoT rule to generate an Amazon SNS notification is a simple and reliable way to get real-time alerts.
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Zona
13 days ago
I think option A is the most cost-effective way to provide near real-time alerts.
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