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Amazon SAP-C02 Exam - Topic 11 Question 18 Discussion

A car rental company has built a serverless REST API to provide data to its mobile app. The app consists of an Amazon API Gateway API with a Regional endpoint, AWS Lambda functions, and an Amazon Aurora MySQL Serverless DB cluster. The company recently opened the API to mobile apps of partners. A significant increase in the number of requests resulted, causing sporadic database memory errors. Analysis of the API traffic indicates that clients are making multiple HTTP GET requests for the same queries in a short period of time. Traffic is concentrated during business hours, with spikes around holidays and other events.The company needs to improve its ability to support the additional usage while minimizing the increase in costs associated with the solution.Which strategy meets these requirements?
A) Convert the API Gateway Regional endpoint to an edge-optimized endpoint. Enable caching in the production stage.
B) Implement an Amazon ElastiCache for Redis cache to store the results of the database calls. Modify the Lambda functions to use the cache.
C) Modify the Aurora Serverless DB cluster configuration to increase the maximum amount of available memory.
D) Enable throttling in the API Gateway production stage. Set the rate and burst values to limit the incoming calls.

Amazon SAP-C02 Exam - Topic 11 Question 18 Discussion

Actual exam question for Amazon's SAP-C02 exam
Question #: 18
Topic #: 11
[All SAP-C02 Questions]

A car rental company has built a serverless REST API to provide data to its mobile app. The app consists of an Amazon API Gateway API with a Regional endpoint, AWS Lambda functions, and an Amazon Aurora MySQL Serverless DB cluster. The company recently opened the API to mobile apps of partners. A significant increase in the number of requests resulted, causing sporadic database memory errors. Analysis of the API traffic indicates that clients are making multiple HTTP GET requests for the same queries in a short period of time. Traffic is concentrated during business hours, with spikes around holidays and other events.

The company needs to improve its ability to support the additional usage while minimizing the increase in costs associated with the solution.

Which strategy meets these requirements?

Show Suggested Answer Hide Answer
Suggested Answer: A

Choosing an API endpoint type

Enabling API caching to enhance responsiveness

by Theola at Oct 08, 2023, 01:49 PM

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Robt
9 months ago
A might help with response times, but is it really the best long-term fix?
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Stevie
10 months ago
Wait, why not just cache the results? Seems like a no-brainer!
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Bette
10 months ago
C could just lead to higher costs without solving the root issue.
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Lindsey
10 months ago
I disagree, throttling in option D could help manage traffic spikes.
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Tracie
10 months ago
Option B seems like the best choice for reducing DB load.
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Raina
11 months ago
Throttling in option D sounds like a good way to manage traffic spikes, but I wonder if it would impact user experience during peak times.
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Stacey
11 months ago
I feel like increasing the memory in option C could be a quick fix, but it might not be the most cost-effective long-term solution.
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Sherita
11 months ago
I'm not entirely sure, but I think option A might help with performance too, especially since it involves caching at the API Gateway level.
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Celeste
11 months ago
I remember we discussed caching strategies in class, and I think option B with ElastiCache could really help reduce the load on the database.
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Truman
11 months ago
Option B seems like the best choice here. Implementing a Redis cache and modifying the Lambda functions to use it should help reduce the load on the database and improve the overall responsiveness of the API.
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Dolores
11 months ago
Throttling the API Gateway might be a quick fix, but it doesn't really solve the underlying problem. I'd prefer a more proactive approach like caching the results to improve the overall performance and scalability of the system.
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Louisa
11 months ago
Hmm, increasing the maximum available memory for the Aurora Serverless DB cluster might help with the memory errors, but it doesn't address the issue of repeated requests for the same data. I think a caching solution would be more effective.
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Sherman
11 months ago
I'm a bit confused by the different options. Converting the API Gateway to an edge-optimized endpoint and enabling caching sounds like a good idea, but I'm not sure if that's the best strategy here.
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Na
11 months ago
This seems like a caching issue. I'd go with option B and implement an Amazon ElastiCache for Redis cache to store the database call results.
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Ahmad
11 months ago
Hmm, I'm a bit unsure about this one. The code seems to be doing some string splitting and concatenation, but I'm not entirely sure of the exact order of the operations. I'll need to think this through step-by-step.
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Cary
11 months ago
Okay, I've got this. Based on my experience, the correct answer is option C - search for the individual user, select their name and click Edit Business Units. That's the most direct way to manage the business unit assignments for each user.
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Rhea
11 months ago
I recall a practice Q where (iii) was a red herring; maybe I should check each statement before deciding 'All of the above'.
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