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Amazon MLS-C01 Exam - Topic 1 Question 126 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 126
Topic #: 1
[All MLS-C01 Questions]

[Data Engineering]

Acybersecurity company is collecting on-premises server logs, mobile app logs, and loT sensor dat

a. The company backs up the ingested data in an Amazon S3 bucket and sends the ingested data to Amazon OpenSearch Service for further analysis. Currently, the company has a custom ingestion pipeline that is running on Amazon EC2 instances. The company needs to implement a new serverless ingestion pipeline that can automatically scale to handle sudden changes in the data flow.

Which solution will meet these requirements MOST cost-effectively?

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Suggested Answer: B

by Tarra at Jan 27, 2026, 02:29 AM

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Elke
5 days ago
I feel like we covered this in class, but I'm a bit confused about the differences between Lambda and Kinesis for handling real-time data.
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Lenna
10 days ago
This sounds similar to a practice question we did about scaling data ingestion. I think Kinesis might be the right choice here, but I need to double-check its cost implications.
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Dalene
15 days ago
I remember we discussed using AWS Lambda for serverless architectures, but I'm not entirely sure how it integrates with S3 and OpenSearch.
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Adelaide
20 days ago
I'm feeling pretty confident about this one. The serverless nature of Lambda and Kinesis Data Firehose seems like it would meet the cost-effectiveness and scalability requirements. I'd probably start by comparing the pricing models and feature sets of those two services to see which one is the best fit.
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Nohemi
25 days ago
Automatically scaling to handle changes in data flow is key, so I'd focus on services that can do that seamlessly. AWS Lambda and Kinesis Data Firehose both sound promising, but I'd also want to look into Amazon EventBridge as a potential event-driven solution.
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Stephanie
1 month ago
Hmm, I'm a bit unsure about the specific serverless services that would be the most cost-effective here. I'd need to research the pricing and capabilities of the different options to determine the best fit.
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Providencia
1 month ago
I think I'd start by considering the serverless options that can automatically scale, like AWS Lambda or Amazon Kinesis Data Firehose. Those could help handle the sudden changes in data flow more cost-effectively than the current EC2-based pipeline.
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