Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

Amazon SAA-C03 Exam - Topic 3 Question 67 Discussion

A finance company collects streaming data for a real-time search and visualization system. They want to migrate to AWS using a native solution for ingest, search, and visualization.Options:
D) Use Kinesis Data Streams Amazon OpenSearch Service Amazon QuickSight
A) Use EC2 to ingest/process data to S3 Athena + Managed Grafana
B) Use EMR to ingest/process to Redshift Redshift Spectrum + QuickSight
C) Use EKS to ingest/process to DynamoDB CloudWatch Dashboards

Amazon SAA-C03 Exam - Topic 3 Question 67 Discussion

Actual exam question for Amazon's SAA-C03 exam
Question #: 67
Topic #: 3
[All SAA-C03 Questions]

A finance company collects streaming data for a real-time search and visualization system. They want to migrate to AWS using a native solution for ingest, search, and visualization.

Options:

Show Suggested Answer Hide Answer
Suggested Answer: D

This is a classic use case for Amazon Kinesis Data Streams + OpenSearch + QuickSight:

Kinesis Data Streams: For real-time ingestion and processing

OpenSearch Service: For fast full-text search, indexing, and analysis

QuickSight: For rich dashboard visualizations

This stack is fully managed, scalable, and native to AWS, minimizing operational overhead.


Kinesis + OpenSearch architecture

Amazon QuickSight

by Carma at Nov 23, 2025, 07:37 PM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Annelle
3 months ago
I like D as well. It covers all aspects of ingestion and visualization.
upvoted 0 times
...
Lyda
4 months ago
D is definitely the most modern approach. QuickSight is user-friendly too.
upvoted 0 times
...
Hector
4 months ago
B is interesting, but Redshift might not be as fast for real-time.
upvoted 0 times
...
Paz
4 months ago
Option A could work, but it feels a bit outdated.
upvoted 0 times
...
Caitlin
4 months ago
I agree, D offers seamless integration for streaming data.
upvoted 0 times
...
Kathryn
4 months ago
I’m not sure about QuickSight for visualization; it has limitations.
upvoted 0 times
...
Fabiola
5 months ago
Wait, can Kinesis really handle that much data efficiently?
upvoted 0 times
...
Silva
5 months ago
EMR and Redshift? That feels a bit heavy for streaming data.
upvoted 0 times
...
Thurman
5 months ago
I agree, Kinesis and OpenSearch are solid choices!
upvoted 0 times
...
Stephane
5 months ago
Option D seems like the best fit for real-time data.
upvoted 0 times
...
Melvin
6 months ago
Option D is the way to go, it's the only one that mentions OpenSearch Service.
upvoted 0 times
...
Benton
6 months ago
Option D seems like overkill, I'd go with Option A for a simpler setup.
upvoted 0 times
...
Leslie
6 months ago
I'm leaning towards Option D as well, it seems to cover all the requirements.
upvoted 0 times
...
Carin
6 months ago
Option D looks like the most comprehensive solution.
upvoted 0 times
...
Demetra
6 months ago
I’m torn between options A and D. I recall we had a similar question about using QuickSight for visualization, but I can't remember which ingestion method was best.
upvoted 0 times
...
Wynell
6 months ago
I'm not entirely sure, but I remember something about using EMR with Redshift for large datasets. Is that option B the one we practiced?
upvoted 0 times
...
Blair
7 months ago
I think option D sounds familiar since we discussed Kinesis and OpenSearch in our last class. It seems like a solid choice for real-time data.
upvoted 0 times
...
Reed
7 months ago
This is a great opportunity to showcase my AWS knowledge. I'll carefully analyze each option and provide a well-reasoned recommendation backed by the specific requirements.
upvoted 0 times
...
Valda
7 months ago
I'm not sure I fully understand the differences between the processing options like EC2, EMR, and EKS. I'll need to do some quick research to determine which one would be the most appropriate for this use case.
upvoted 0 times
...
Nadine
7 months ago
I think option D is the best choice. Kinesis is great for real-time data.
upvoted 0 times
...
Brynn
8 months ago
I feel like using EC2 for data ingestion might be a bit outdated. Wasn't there a reason we leaned towards serverless solutions like Kinesis?
upvoted 0 times
...
Isidra
8 months ago
Option D seems like the most straightforward native AWS solution, with Kinesis for data ingestion, OpenSearch for search, and QuickSight for visualization. I'll start there and see if I can flesh out the details.
upvoted 0 times
...
Fannie
8 months ago
I'm a bit confused by all the AWS services mentioned. I'll need to review my notes on each one to understand how they could be used in this scenario.
upvoted 0 times
...
Benedict
8 months ago
Hmm, this looks like a tricky one. I'll need to carefully weigh the pros and cons of each option to determine the best fit for the requirements.
upvoted 0 times
Staci
3 months ago
I like the simplicity of option D. It seems to cover all bases.
upvoted 0 times
...
Lisbeth
3 months ago
True, but they might be overkill for streaming data.
upvoted 0 times
...
Genevieve
3 months ago
But what about option B? EMR and Redshift are powerful too.
upvoted 0 times
...
Elden
3 months ago
Agreed! OpenSearch is perfect for search and visualization.
upvoted 0 times
...
Terrilyn
7 months ago
I think option D is the best choice. Kinesis is great for real-time data.
upvoted 0 times
...
...

Save Cancel