Exam AWS Certified Solutions Architect - Associate SAA-C03 All Questions

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Exam AWS Certified Solutions Architect - Associate SAA-C03 topic 1 question 572 discussion

Exam question from Amazon's AWS Certified Solutions Architect - Associate SAA-C03

Question #: 572
Topic #: 1

[All AWS Certified Solutions Architect - Associate SAA-C03 Questions]

A company runs an application on AWS. The application receives inconsistent amounts of usage. The application uses AWS Direct Connect to connect to an on-premises MySQL-compatible database. The on-premises database consistently uses a minimum of 2 GiB of memory.

The company wants to migrate the on-premises database to a managed AWS service. The company wants to use auto scaling capabilities to manage unexpected workload increases.

Which solution will meet these requirements with the LEAST administrative overhead?

A. Provision an Amazon DynamoDB database with default read and write capacity settings.
B. Provision an Amazon Aurora database with a minimum capacity of 1 Aurora capacity unit (ACU).
C. Provision an Amazon Aurora Serverless v2 database with a minimum capacity of 1 Aurora capacity unit (ACU).
D. Provision an Amazon RDS for MySQL database with 2 GiB of memory.

Show Suggested Answer

Suggested Answer: C 🗳️

by Bmaster at Aug. 2, 2023, 3:09 a.m.

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Guru4Cloud

Highly Voted 1 year, 10 months ago

Selected Answer: C

The key reasons: Aurora Serverless v2 provides auto-scaling so the database can handle inconsistent workloads and spikes automatically without admin intervention. It can scale down to zero when not in use to minimize costs. The minimum 1 ACU capacity is sufficient to replace the on-prem 2 GiB database based on the info given. Serverless capabilities reduce admin overhead for capacity management. DynamoDB lacks MySQL compatibility and requires more hands-on management. RDS and provisioned Aurora require manually resizing instances to scale, increasing admin overhead.

upvoted 11 times

dkw2342

1 year, 3 months ago

> It can scale down to zero when not in use to minimize costs. This part is not correct. Aurora Serverless v1 was able to scale to zero.

upvoted 2 times

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kambarami

Highly Voted 1 year, 9 months ago

the questions are hard from 500 +

upvoted 7 times

foha2012

1 year, 5 months ago

I dont think these are associate exam questions rather are from AWS professional exam

upvoted 3 times

1 year, 10 months ago

Why not D?

upvoted 2 times

wizcloudifa

1 year, 2 months ago

no autoscaling with RDS

upvoted 2 times

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awsgeek75

1 year, 5 months ago

Because "LEAST administrative overhead" is a requirement. RDS configured with mem requirements is an admin overhead

upvoted 2 times

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mrsoa

1 year, 11 months ago

Selected Answer: C

C seems to be the right answer Instead of provisioning and managing database servers, you specify Aurora capacity units (ACUs). Each ACU is a combination of approximately 2 gigabytes (GB) of memory, corresponding CPU, and networking. Database storage automatically scales from 10 gibibytes (GiB) to 128 tebibytes (TiB), the same as storage in a standard Aurora DB cluster https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless-v1.how-it-works.html https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless-v2.html

upvoted 2 times

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Bmaster

1 year, 11 months ago

C is correct. https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless-v2.how-it-works.html#aurora-serverless-v2.how-it-works.capacity

upvoted 3 times

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