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SAA-C03 Questions and Answers

Question 1

A bicycle sharing company is developing a multi-tier architecture to track the location of bicycles during peak operating hours, and the company wants to use these data points in its existing analytics platform. Architecture data points should be accessible from a REST API.

Which function fulfills these requirements for storing and retrieving location data?

1. Use Amazon Athena with Amazon S3
2. Use Amazon API Gateway with AWS Lambda
3. Use Amazon QuickSight with Amazon Redshift.
4. Use Amazon API Gateway with Amazon Kinesis Data Analytics

Question #2

A company has an e-commerce checkout workflow that writes an order to a database and calls a service to process the payment. Users are experiencing timeouts during the checkout process. When users resubmit the checkout form, multiple unique orders are created for the same desired transaction.

How should a solution architect refactor this workflow to prevent the creation of multiple orders?

1. Configure the web application to send an order message to Amazon Kinesis Data Firehose. Set up the payment service to retrieve the message from Kinesis Data Firehose and process the order.
2. Create a rule in AWS CloudTrail to invoke an AWS Lambda function based on the logged application path request, use Lambda to query the database, call the payment service, and pass the order information.
3. Store the order in the database. Send a message that includes the order number to the Amazon Simple Notification Service (Amazon SNS). Set up payment service for Amazon SNS polls. Retrieve the message and process the order.
4. Store the order in the database. Send a message containing the order number to the Amazon Simple Queue Service (Amazon SQS) FIFO queue. Set up the payment service to retrieve the message and process the order. Delete the message from the queue.

Question #3

A company runs its e-commerce application on AWS. All new orders are published as a message to a RabbitMQ queue that runs on an Amazon EC2 instance in a single Availability Zone. These messages are processed by another application running on a separate EC2 instance. This application stores the details in a PostgreSQL database in another EC2 instance. All EC2 instances are in the same Availability Zone.

The company needed to redesign its architecture to provide high availability with low operational overhead.

What does a solution architect need to do to meet these requirements?

1. Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ. A Multi-AZ Auto Scaling Group (or EC2 instances hosting the application. Create another Multi-AZ Auto Scaling Group for the EC2 instances hosting the PostgreSQL database.
2. Migrate the queue to a redundant pair (active/standby) of RabbitMQ instances on Amazon MQ. Create a multi-AZ auto scaling group for the EC2 instances hosting the application. Migrate the database to run in a multi-AZ deployment of Amazon RDS for PostgreSQL.
3. Create a multi-AZ auto scaling group for the EC2 instances hosting the RabbitMQ queue. Create another Multi-AZ Auto Scaling Group for the EC2 instances hosting the application. Migrate the database to run on a multi-AZ deployment of Amazon RDS fqjPostgreSQL.
4. Create a multi-AZ auto scaling group for the EC2 instances hosting the RabbitMQ queue. Create another Multi-AZ Auto Scaling Group for the EC2 instances hosting the application. Create a third multi-assed auto

Scaling group for EC2 instances hosting the PostgreSQL database.