Amazon Exam BDS-C00 Topic 9 Question 76 Discussion

Actual exam question for Amazon's BDS-C00 exam

Question #: 76
Topic #: 9

Your company operates a website for promoters to sell tickets for entertainment events. You are using a load balancer in front of an Auto Scaling group of web server. Promotion of popular events can cause surges of websites visitors. During scaling-out at theses times, newly launched instances are unable to complete configuration quickly enough, leading to user disappointment.

What option should you choose to improve scaling yet minimize costs? Choose 2 answers

ACreate an AMI with the application pre-configured. Create a new Auto Scaling launch configuration using this new AMI, and configure the Auto Scaling group to launch with this AMI

BUse Auto Scaling pre-warming to launch instances before they are required. Configure pre-
warming to use the CPU trend CloudWatch metric for the group

CPublish a custom CloudWatch metric from your application on the number of tickets sold, and create an Auto Scaling policy based on this

DUsing the history of past scaling events for similar event sales to predict future scaling
requirements. Use the Auto Scaling scheduled scaling feature to vary the size of the fleet

EConfigure an Amazon S3 bucket for website hosting. Upload into the bucket an HTML holding page with its 'x-amz-website-redirect-location' metadata property set to the load balancer endpoint. Configure Elastic Load Balancing to redirect to the holding page when the load on web servers is above a certain level

Show Suggested Answer

Suggested Answer: D

by Arthur at Jul 09, 2023, 11:43 PM

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Jodi

17 hours ago

Redirecting to a holding page? That's a creative solution, but I'm not sure it's the best way to handle scaling issues. Seems like a bit of a Band-Aid approach.

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Micheal

4 days ago

I like the idea of using past data to predict future scaling needs. Scheduled scaling seems like a smart way to stay ahead of the curve.

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Bette

10 days ago

I personally think option E could also be beneficial. Redirecting to a holding page during high load could help manage user disappointment.

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Gene

11 days ago

I agree with Leonora. Creating a new AMI with pre-configured application and using past scaling events for prediction seem like practical solutions.

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Leonora

12 days ago

I think options A and D could be good choices to improve scaling and minimize costs.

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Darell

13 days ago

Ooh, using a custom metric to trigger scaling is an interesting idea. I wonder if that would give us more granular control over the scaling process.

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Elena

15 days ago

B looks promising, but I'm not sure how well pre-warming would work with unpredictable traffic surges. Might be worth a try though.

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Tashia

15 days ago

I see your point, Edna. Option D could definitely help in planning ahead. I personally think a combination of options A and D would be the best approach

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Edna

16 days ago

I agree with Mel, option A seems like a good choice. But I also think option D could be useful for predicting future scaling requirements

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Therese

19 days ago

A and D seem like a good combination to me. Pre-configuring the AMI and using scheduled scaling based on past trends could really help with the scaling challenges.

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Earlean

18 hours ago

A and D are good options. Pre-configuring the AMI can speed up the launch process, and using scheduled scaling based on past trends can help predict future requirements.

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Mel

21 days ago

I think option A could help by reducing the time it takes for new instances to configure

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