Amazon SAA-C03 Exam - Topic 1 Question 68 Discussion

Actual exam question for Amazon's SAA-C03 exam

Question #: 68
Topic #: 1

A company is designing an application on AWS that provides real-time dashboards. The dashboard data comes from on-premises databases that use a variety of schemas and formats. The company needs a solution to transfer and transform the data to AWS with minimal latency.

Which solution will meet these requirements?

AIntegrate the dashboard with Amazon Managed Streaming for Apache Kafka (Amazon MSK) to transfer and transform the data from the on-premises databases to the dashboards.

BUse Amazon Data Firehose to transfer the data to an Amazon S3 Bucket. Configure the dashboard application to import new data from the S3 bucket periodically.

CUse AWS Database Migration Service (AWS DMS) Schema Conversion to consolidate the on-premises databases into a single AWS database. Use an AWS Lambda function that is scheduled by Amazon EventBridge to transfer data from the consolidated database to the dashboard application.

DUse AWS DataSync to transfer data from the source databases to the dashboard application continuously. Configure the dashboard application to import data from DataSync.

Show Suggested Answer

Suggested Answer: A

Amazon MSK is a fully managed, highly available Apache Kafka service for streaming data with low latency. Kafka Connect and stream processors enable ingest from heterogeneous sources and perform in-stream transformation before delivery to consumers (e.g., the dashboard service). This satisfies real-time updates from diverse schemas and formats. Kinesis alternatives could work, but among the given choices, MSK is the only streaming option designed for sub-second, continuous pipelines. Kinesis Data Firehose (B) buffers and batches data to S3 and is optimized for delivery to storage, not low-latency dashboards. AWS DMS schema conversion (C) focuses on database migration, not ongoing real-time, multi-format streaming for dashboards. AWS DataSync (D) is for file/object transfer, not database change streams. Hence, MSK best meets minimal-latency, transform-in-flight needs with managed operations.

by Pamella at Jan 05, 2026, 05:16 AM

Limited Time Offer

25%

Off

Get Premium SAA-C03 Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel

Vincenza

4 days ago

Totally agree with Lindsay, C is the way to go!

upvoted 0 times

...

Kendra

10 days ago

Wait, can DataSync really handle all those formats?

upvoted 0 times

...

Bettyann

15 days ago

D seems like the best choice for continuous transfer!

upvoted 0 times

...

Daryl

20 days ago

I think B is too slow for real-time needs.

upvoted 0 times

...

Lindsay

25 days ago

Option C sounds solid for schema conversion!

upvoted 0 times

...

Annita

1 month ago

Option C sounds like a lot of work. I'd rather keep it simple with Option D.

upvoted 0 times

...

Ryann

1 month ago

Option A all the way! Kafka is the way to go for real-time streaming.

upvoted 0 times

...

Janessa

2 months ago

Hmm, Option B might work, but the periodic data import could introduce some latency.

upvoted 0 times

...

Jina

2 months ago

Option C looks interesting, but I'm not sure about the complexity of the Lambda function and EventBridge scheduling.

upvoted 0 times

...

Launa

2 months ago

I'm leaning towards Option D. DataSync seems like a straightforward way to handle the continuous data transfer.

upvoted 0 times

...

Wava

2 months ago

Option A seems like a good fit for real-time data transfer and transformation.

upvoted 0 times

...

Rory

3 months ago

AWS DataSync sounds familiar, but I can't recall if it supports continuous data transfer. I need to double-check that.

upvoted 0 times

...

Merilyn

3 months ago

I practiced a similar question where Data Firehose was mentioned, but it seemed more suited for batch processing rather than real-time updates.

upvoted 0 times

...

Zack

3 months ago

I think using Amazon MSK could work since it handles streaming data well, but I wonder if it might add complexity with the different schemas.

upvoted 0 times

...

Francesco

3 months ago

I remember studying about AWS DMS and how it can help with schema conversion, but I'm not sure if it's the best fit for real-time dashboards.

upvoted 0 times

...

Theron

3 months ago

I'm leaning towards option B with Amazon Firehose. Transferring the data to S3 first and then having the dashboard app pull from there seems like a straightforward approach.

upvoted 0 times

...

Mozelle

3 months ago

Option C with the AWS DMS and Lambda function sounds like a good way to consolidate the data sources, but I'm not sure if that would meet the low-latency requirement.

upvoted 0 times

...

Jin

4 months ago

I'm a bit confused by the different options. Can Amazon MSK really handle the data transformation part, or is that just for the data transfer?

upvoted 0 times

...

Cassie

4 months ago

I think option D looks the most promising. AWS DataSync seems like it could handle the real-time data transfer and transformation requirements.

upvoted 0 times

...