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Question 138 - SAA-C03 discussion

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A company runs its ecommerce application on AWS. Every new order is published as a message in a RabbitMQ queue that runs on an Amazon EC2 instance in a single Availability Zone. These messages are processed by a different application that runs on a separate EC2 instance. This application stores the details in a PostgreSQL database on another EC2 instance. All the EC2 instances are in the same Availability Zone. The company needs to redesign its architecture to provide the highest availability with the least operational overhead. What should a solutions architect do to meet these requirements?

A.
Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ.Create a Multi-AZ Auto Scaling group (or EC2 instances that host the application. Create another Multi-AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
Answers
A.
Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ.Create a Multi-AZ Auto Scaling group (or EC2 instances that host the application. Create another Multi-AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
B.
Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ.Create a Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS for PostgreSQL.
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B.
Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ.Create a Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS for PostgreSQL.
C.
Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS fqjPostgreSQL.
Answers
C.
Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Migrate the database to run on a Multi-AZ deployment of Amazon RDS fqjPostgreSQL.
D.
Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Create a third Multi- AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
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D.
Create a Multi-AZ Auto Scaling group for EC2 instances that host the RabbitMQ queue. Create another Multi-AZ Auto Scaling group for EC2 instances that host the application. Create a third Multi- AZ Auto Scaling group for EC2 instances that host the PostgreSQL database.
Suggested answer: B

Explanation:

Migrating to Amazon MQ reduces the overhead on the queue management. C and D are dismissed. Deciding between A and B means deciding to go for an AutoScaling group for EC2 or an RDS for

Postgress (both multi- AZ). The RDS option has less operational impact, as provide as a service the tools and software required. Consider for instance, the effort to add an additional node like a read replica, to the DB. https://docs.aws.amazon.com/amazon-mq/latest/developer-guide/active-standby-broker- deployment.html https://aws.amazon.com/rds/postgresql/


asked 16/09/2024
Ryan Harris
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