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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 1012 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03
Question #: 1012
Topic #: 1
[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company has a three-tier web application that processes orders from customers. The web tier consists of Amazon EC2 instances behind an Application Load Balancer. The processing tier consists of EC2 instances. The company decoupled the web tier and processing tier by using Amazon Simple Queue Service (Amazon SQS). The storage layer uses Amazon DynamoDB.

At peak times, some users report order processing delays and halls. The company has noticed that during these delays, the EC2 instances are running at 100% CPU usage, and the SQS queue fills up. The peak times are variable and unpredictable.

The company needs to improve the performance of the application.

Which solution will meet these requirements?

  • A. Use scheduled scaling for Amazon EC2 Auto Scaling to scale out the processing tier instances for the duration of peak usage times. Use the CPU Utilization metric to determine when to scale.
  • B. Use Amazon ElastiCache for Redis in front of the DynamoDB backend tier. Use target utilization as a metric to determine when to scale.
  • C. Add an Amazon CloudFront distribution to cache the responses for the web tier. Use HTTP latency as a metric to determine when to scale.
  • D. Use an Amazon EC2 Auto Scaling target tracking policy to scale out the processing tier instances. Use the ApproximateNumberOfMessages attribute to determine when to scale.
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Suggested Answer: D 🗳️
by viejito at Oct. 7, 2024, 2:36 p.m.
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LeonSauveterre
3 months, 3 weeks ago
Selected Answer: D
Just scale base on how many tasks left in the queue. CPU utilization is not an accurate metric. There could be just one task but it takes quite a while to process, in which case scaling is unnecessary.
upvoted 2 times
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FlyingHawk
4 months ago
Selected Answer: D
The bottleneck is at the processing tier, B and C are incorrect, processing tier instances are running at 100% CPU usage, and the SQS queue fills up. Because the peak times are variable and unpredictable, we should use the EC2 Auto Scaling target tracking policy to scale out the processing tier instances based on the size of the queue, A uses scheduled scaling for Amazon EC2 Auto Scaling is incorrect.
upvoted 2 times
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GOTJ
4 months ago
Selected Answer: D
Check this out: https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html
upvoted 1 times
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EllenLiu
4 months, 1 week ago
Selected Answer: D
The bottleneck is from the processing tier.
upvoted 3 times
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dragossky
4 months, 2 weeks ago
Selected Answer: B
Yes, ElastiCache can be used with DynamoDB to improve the performance and scalability of read-heavy or frequently accessed workloads. Amazon ElastiCache is a fully managed in-memory data store that supports popular caching engines such as Memcached and Redis.
upvoted 1 times
Salilgen
3 months, 3 weeks ago
The problem is from application tier
upvoted 1 times
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GOTJ
4 months ago
Agree. But this "SQS queue fill up" (remember, SQS is meant for decouple web and processing tiers) suggest that the bottleneck is produced by the processing CPU bottleneck because web servers are sending more requests to the queue than the processing servers are able to process from the queue. As the first approach, I would try option D
upvoted 1 times
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EllenLiu
4 months, 1 week ago
DynamoDB Accelerator is cache for dynamoDB
upvoted 1 times
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aragon_saa
6 months, 2 weeks ago
Selected Answer: D
Answer is D
upvoted 2 times
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