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Question 550 - SAA-C03 discussion

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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.
Answers
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).
Answers
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).
Answers
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.
Answers
D.
Provision an Amazon RDS for MySQL database with 2 GiB of memory.
Suggested answer: C

Explanation:

it allows the company to migrate the on-premises database to a managed AWS service that supports auto scaling capabilities and has the least administrative overhead. Amazon Aurora Serverless v2 is a configuration of Amazon Aurora that automatically scales compute capacity based on workload demand. It can scale from hundreds to hundreds of thousands of transactions in a fraction of a second. Amazon Aurora Serverless v2 also supports MySQL-compatible databases and AWS Direct Connect connectivity. Reference:

Amazon Aurora Serverless v2 Connecting to an Amazon Aurora DB Cluster

asked 16/09/2024
Ferran Ortega Torrabadell
36 questions
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