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Amazon SAP-C02 Exam - Topic 2 Question 50 Discussion

Actual exam question for Amazon's SAP-C02 exam
Question #: 50
Topic #: 2
[All SAP-C02 Questions]

A company is migrating a monolithic on-premises .NET Framework production application to AWS. Application demand will grow exponentially in the next 6 months. The company must ensure that the application can scale appropriately.

The application currently connects to a Microsoft SQL Server transactional database. The company has well-documented source code for the application. Some business logic is contained within stored procedures.

A solutions architect must recommend a solution to redesign the application to meet the growth in demand.

Which solution will meet this requirement MOST cost-effectively?

Show Suggested Answer Hide Answer
Suggested Answer: D

by Vallie at Feb 11, 2025, 09:11 PM

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Yesenia
5 months ago
Not sure about C, Fargate sounds complicated for this scenario.
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Herminia
5 months ago
A is the way to go, RDS for SQL Server is a smart choice!
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Kina
5 months ago
Surprised to see D as an option, Aurora Serverless is great but can it handle the load?
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Sherron
5 months ago
I think B is better for ease of use with Elastic Beanstalk.
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Sarah
6 months ago
Option A seems solid with EC2 Auto Scaling.
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Vivienne
6 months ago
I recall that Aurora Serverless can scale automatically, which might be beneficial, but I wonder if it supports all the stored procedures we have in SQL Server.
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Kara
6 months ago
I practiced a similar question about migrating to AWS, and I feel like using Lambda functions could be a good way to decouple the application, but I'm not sure about the cost implications.
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Rosio
6 months ago
I think using Amazon RDS for SQL Server makes sense since the application already uses SQL Server, but I'm a bit confused about whether to go with Elastic Beanstalk or EC2.
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Amie
6 months ago
I remember discussing the importance of using microservices for scalability, but I'm not sure if EC2 Spot Instances are the best choice for a production application.
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Chandra
6 months ago
I'm leaning towards Option D. Decoupling the application into microservices with API Gateway and Lambda functions could provide a lot of flexibility and scalability, and Aurora Serverless v2 might be a cost-effective database solution.
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Graciela
6 months ago
Option A seems like a good starting point with the use of EC2 Spot Instances and Auto Scaling. The microservices architecture should help with scalability, and storing the data in RDS for SQL Server is a familiar approach.
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Norah
6 months ago
Hmm, I'm a bit confused by the different AWS services mentioned. I'll need to review the details of each option to understand how they work and which one would be the most cost-effective.
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Gayla
7 months ago
This looks like a tricky one. I'll need to carefully consider the cost-effectiveness of each option and how well they address the need for scalability.
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Genevieve
1 year ago
Wow, these options are making my head spin! I need a coffee break before I can think about this any further.
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Loise
1 year ago
Yes, sometimes stepping away for a bit can help clear your mind. Enjoy your coffee!
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Octavio
1 year ago
Coffee breaks are essential for productivity. Enjoy your break!
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Willodean
1 year ago
I agree, these options can be overwhelming. It's important to take a break and come back with a fresh perspective.
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Bulah
1 year ago
Don't worry, take your time to relax and recharge with some coffee.
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Blair
1 year ago
Option D is tempting, but I'm not sure about the feasibility of modifying all the stored procedures. Might be a bit of a hassle.
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Derick
1 year ago
D: I see your point about modifying stored procedures, but Amazon Aurora Serverless v2 could be worth it for scalability.
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Grover
1 year ago
C: Option C seems interesting with AWS Fargate and Amazon DynamoDB Accelerator.
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Bev
1 year ago
B: I agree, using Amazon RDS for SQL Server will also help with data storage.
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Laquanda
1 year ago
A: Option A sounds like a good choice for scalability with EC2 Auto Scaling.
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Junita
1 year ago
That's a good point, but I still think option A is better because it deploys EC2 instances in a cluster placement group for better performance.
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Ollie
1 year ago
I disagree, I believe option D is more cost-effective as it decouples the application into microservices and uses AWS Lambda functions.
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Derick
1 year ago
Option C is interesting, but using DynamoDB Accelerator for the stored procedures seems risky. I'd stick with a more traditional database approach.
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Layla
1 year ago
I'd go with Option B. Elastic Beanstalk makes it easy to manage the microservices, and RDS for MySQL is a reliable database solution.
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Ula
1 year ago
Using AWS Application Migration Service will make the migration process smoother.
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Gail
1 year ago
RDS for MySQL is a solid database option for storing data and stored procedures.
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Delbert
1 year ago
I agree, managing microservices with Elastic Beanstalk is convenient.
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Rochell
1 year ago
Option B sounds like a good choice. Elastic Beanstalk is user-friendly.
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Ivan
1 year ago
Option A seems the most cost-effective as it uses EC2 Spot Instances and a scalable microservices architecture. Deploying in a cluster placement group should also help with performance.
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Victor
1 year ago
I think Option D could also be a good choice. Decoupling the application into microservices and using AWS Lambda functions could provide flexibility for future growth.
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Willis
1 year ago
I agree, Option A does seem like the most cost-effective solution. Using EC2 Spot Instances and a microservices architecture should help with scalability.
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Junita
1 year ago
I think option A is the best choice because it uses Amazon API Gateway APIs and EC2 Spot Instances for scalability.
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