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Amazon Exam SOA-C02 Topic 10 Question 105 Discussion

Actual exam question for Amazon's SOA-C02 exam
Question #: 105
Topic #: 10
[All SOA-C02 Questions]

A SysOps administrator is investigating a company's web application for performance problems The application runs on Amazon EC2 instances that are in an Auto Scaling group. The application receives large traffic increases at random times throughout the day. During periods of rapid traffic increases, the Auto Scaling group is not adding capacity fast enough. As a result, users are experiencing poor performance.

The company wants to minimize costs without adversely affecting the user experience when web traffic surges quickly. The company needs a solution that adds more capacity to me Auto Scaling group for larger traffic increases than for smaller traffic increases.

How should the SysOps administrator configure the Auto Scaling group to meet these requirements?

Show Suggested Answer Hide Answer
Suggested Answer: A

Increasing DB Instance Size:

Increasing the instance size provides more CPU and memory resources, which can help handle higher loads.

Steps:

Go to the AWS Management Console.

Navigate to RDS and select the DB instance.

Modify the instance to increase its size.

Apply the changes during the next maintenance window or immediately if it is a critical issue.

Monitoring Performance:

After resizing, monitor the instance during the next report run to ensure that it handles the load effectively.


Contribute your Thoughts:

Marica
1 months ago
Wait, so we're not just going to throw a bunch of EC2 instances at the problem and hope for the best? This is way more nuanced than I expected. I'm impressed, SysOps admins have a tough job!
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Zack
4 days ago
That makes sense, it will add more capacity during larger traffic increases and less during smaller ones.
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Derrick
14 days ago
Use target tracking scaling policies to automatically adjust the capacity of the Auto Scaling group based on demand.
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Mirta
1 months ago
I can already hear the CFO groaning about the costs if we just crank up the capacity whenever the load gets heavy. B seems like the best balance between performance and cost savings.
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Bea
1 days ago
B: Yes, that could be a good option to automatically adjust capacity based on traffic.
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Francene
14 days ago
A: Have you considered using a target tracking scaling policy?
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Rodolfo
2 months ago
D sounds a bit convoluted, adjusting the max instances after each scaling event seems like it could get messy. I think I'll stick with the more straightforward options like B or C.
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Nohemi
9 days ago
True, C could also work. It's a target tracking scaling policy which might be more efficient.
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Amira
16 days ago
But what about C? It also allows for larger adjustments in capacity during heavy load.
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Abraham
1 months ago
Yeah, B sounds like a good option. It allows for larger adjustments in capacity during heavy load.
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Keena
1 months ago
I agree, D does seem a bit complicated. I think B might be the way to go.
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Ollie
2 months ago
I'm leaning towards C, the target tracking scaling policy seems like it could automatically scale up the capacity when the system is under heavy load. That could be a good hands-off solution.
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Viki
2 months ago
User 2: Yeah, that sounds like a good hands-off solution for handling traffic surges.
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Filiberto
2 months ago
User 1: I think C could work, it automatically adjusts capacity based on target tracking.
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Teddy
2 months ago
Option B looks promising, the step scaling policy could help adjust capacity based on the load. I'll need to do some research on how to configure that properly.
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Hayley
2 months ago
That makes sense too, target tracking scaling policy could be more efficient in this scenario.
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Brande
2 months ago
I disagree, I believe the answer is C because target tracking scaling policy adjusts capacity based on a target metric.
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Hayley
3 months ago
I think the answer is B because step scaling policy allows for larger adjustments in capacity during heavy load.
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