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Amazon SAA-C03 Exam - Topic 8 Question 15 Discussion

A company offers a food delivery service that is growing rapidly. Because of the growth, the company's order processing system is experiencing scaling problems during peak traffic hours. The current architecture includes the following:* A group of Amazon EC2 instances that run in an Amazon EC2 Auto Scaling group to collect orders from the application* Another group of EC2 instances that run in an Amazon EC2 Auto Scaling group to fulfill ordersThe order collection process occurs quickly, but the order fulfillment process can take longer. Data must not be lost because of a scaling event.A solutions architect must ensure that the order collection process and the order fulfillment process can both scale properly during peak traffic hours. The solution must optimize utilization of the company's AWS resources.Which solution meets these requirements?
D) Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Create a metric based on a backlog per instance calculation. Scale the Auto Scaling groups based on this metric.
A) Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups. Configure each Auto Scaling group's minimum capacity according to peak workload values.
B) Use Amazon CloudWatch metrics to monitor the CPU of each instance in the Auto Scaling groups. Configure a CloudWatch alarm to invoke an Amazon Simple Notification Service (Amazon SNS) topic that creates additional Auto Scaling groups on demand.
C) Provision two Amazon Simple Queue Service (Amazon SQS) queues: one for order collection and another for order fulfillment. Configure the EC2 instances to poll their respective queue. Scale the Auto Scaling groups based on notifications that the queues send.

Amazon SAA-C03 Exam - Topic 8 Question 15 Discussion

Actual exam question for Amazon's SAA-C03 exam
Question #: 15
Topic #: 8
[All SAA-C03 Questions]

A company offers a food delivery service that is growing rapidly. Because of the growth, the company's order processing system is experiencing scaling problems during peak traffic hours. The current architecture includes the following:

* A group of Amazon EC2 instances that run in an Amazon EC2 Auto Scaling group to collect orders from the application

* Another group of EC2 instances that run in an Amazon EC2 Auto Scaling group to fulfill orders

The order collection process occurs quickly, but the order fulfillment process can take longer. Data must not be lost because of a scaling event.

A solutions architect must ensure that the order collection process and the order fulfillment process can both scale properly during peak traffic hours. The solution must optimize utilization of the company's AWS resources.

Which solution meets these requirements?

Show Suggested Answer Hide Answer
Suggested Answer: D

The number of instances in your Auto Scaling group can be driven by how long it takes to process a message and the acceptable amount of latency (queue delay). The solution is to use a backlog per instance metric with the target value being the acceptable backlog per instance to maintain.


by Marguerita at Mar 21, 2023, 07:07 PM

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Lou
10 months ago
B seems complicated, not sure if SNS is needed here.
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Jackie
10 months ago
I agree with C, it's a straightforward approach for order processing.
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Rodolfo
10 months ago
Wait, can SQS really handle that much traffic? Seems risky.
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Audry
11 months ago
I think D is better, the backlog metric is key for scaling.
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Sherill
11 months ago
Option C sounds solid, using SQS for decoupling is smart.
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Bea
11 months ago
I have a vague memory of CloudWatch alarms triggering scaling actions, but I don't think that's the best fit here. It feels like we need a more robust solution like SQS.
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Glory
11 months ago
I practiced a similar question where SQS was involved, and I think it was about managing workloads effectively. I feel like option D makes sense with the backlog metric.
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Roy
11 months ago
I'm not entirely sure, but I think just monitoring CPU might not be enough for scaling during peak times. Maybe we need to consider the queue lengths too?
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Casie
11 months ago
I remember we discussed the importance of using SQS for decoupling processes. It seems like option C or D could be the right approach.
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Tamra
11 months ago
I'm a bit uncertain about the CloudWatch alarms in option B. It seems like it could lead to over-provisioning if not configured carefully.
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Zita
11 months ago
I feel like we practiced a similar question where we had to choose between using CloudWatch metrics and SQS. I just can't recall the exact details.
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Elli
11 months ago
I think option D makes more sense because it mentions creating a metric based on backlog, which could help manage the order fulfillment better during peak times.
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Eura
11 months ago
I remember we discussed the importance of using SQS for decoupling processes, but I'm not sure if option C or D is better for scaling.
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Tammara
11 months ago
I'm a bit confused by this question. I don't remember discussing Valid To dates for Knowledge articles in much detail. I'll have to make an educated guess on this one.
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Carmela
11 months ago
Hmm, the log messages mention a pool member going down and the device entering standby mode. I'm not sure if that's the full story though, I'll need to think this through.
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Evelynn
11 months ago
Okay, let's see. I'm pretty sure the answer has to do with the rules and policies governing the DRM system and its usage. I'll review the options closely.
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