SAA-C03 Free Practice Test

- (Topic 1)
A company wants to reduce the cost of its existing three-tier web architecture. The web, application, and database servers are running on Amazon EC2 instances for the development, test, and production environments. The EC2 instances average 30% CPU utilization during peak hours and 10% CPU utilization during non-peak hours.
The production EC2 instances run 24 hours a day. The development and test EC2 instances run for at least 8 hours each day. The company plans to implement automation to stop the development and test EC2 instances when they are not in use.
Which EC2 instance purchasing solution will meet the company's requirements MOST cost-effectively?

1. A. Use Spot Instances for the production EC2 instance
2. B. Use Reserved Instances for the development and test EC2 instances.
3. C. Use Reserved Instances for the production EC2 instance
4. D. Use On-Demand Instances for the development and test EC2 instances.
5. E. Use Spot blocks for the production EC2 instance
6. F. Use Reserved Instances for the development and test EC2 instances.
7. G. Use On-Demand Instances for the production EC2 instance
8. H. Use Spot blocks for the development and test EC2 instances.

Correct Answer: B

- (Topic 3)
A company uses a payment processing system that requires messages for a particular payment ID to be received in the same order that they were sent Otherwise, the payments might be processed incorrectly.
Which actions should a solutions architect take to meet this requirement? (Select TWO.)

1. A. Write the messages to an Amazon DynamoDB table with the payment ID as the partition key
2. B. Write the messages to an Amazon Kinesis data stream with the payment ID as the partition key.
3. C. Write the messages to an Amazon ElastiCache for Memcached cluster with the payment ID as the key
4. D. Write the messages to an Amazon Simple Queue Service (Amazon SQS) queue Set the message attribute to use the payment ID
5. E. Write the messages to an Amazon Simple Queue Service (Amazon SQS) FIFO queu
6. F. Set the message group to use the payment ID.

Correct Answer: BE
1) SQS FIFO queues guarantee that messages are received in the exact order they are sent. Using the payment ID as the message group ensures all messages for a payment ID are received sequentially. 2) Kinesis data streams can also enforce ordering on a per partition key basis. Using the payment ID as the partition key will ensure strict ordering of messages for each payment ID.

- (Topic 4)
An ecommerce company is running a seasonal online sale. The company hosts its website on Amazon EC2 instances spanning multiple Availability Zones. The company wants its website to manage sudden traffic increases during the sale.
Which solution will meet these requirements MOST cost-effectively?

1. A. Create an Auto Scaling group that is large enough to handle peak traffic loa
2. B. Stop half of the Amazon EC2 instance
3. C. Configure the Auto Scaling group to use the stopped instances to scale out when traffic increases.
4. D. Create an Auto Scaling group for the websit
5. E. Set the minimum size of the Auto Scaling group so that it can handle high traffic volumes without the need to scale out.
6. F. Use Amazon CIoudFront and Amazon ElastiCache to cache dynamic content with an Auto Scaling group set as the origi
7. G. Configure the Auto Scaling group with the instances necessary to populate CIoudFront and ElastiCach
8. H. Scale in after the cache is fully populated.
9. I. Configure an Auto Scaling group to scale out as traffic increase
10. J. Create a launch template to start new instances from a preconfigured Amazon Machine Image (AMI).

Correct Answer: D
The solution that meets the requirements of high availability, resiliency, and minimal operational effort is to use AWS Transfer for SFTP and an Amazon S3 bucket for storage. This solution allows the company to securely transfer files over SFTP to Amazon S3, which is a durable and scalable object storage service. The company can then modify the application to pull the batch files from Amazon S3 to an Amazon EC2 instance for processing. The EC2 instance can be part of an Auto Scaling group with a scheduled scaling policy to run the batch operation only at night. This way, the company can save costs by scaling down the EC2 instances when they are not needed. The other solutions do not meet all the requirements because they either use Amazon EFS or Amazon EBS for storage, which are more expensive and less scalable than Amazon S3, or they do not use a scheduled scaling policy to optimize the EC2 instances usage. References :=
✑ AWS Transfer for SFTP
✑ Amazon S3
✑ Amazon EC2 Auto Scaling

- (Topic 4)
A company is moving its on-premises Oracle database to Amazon Aurora PostgreSQL. The database has several applications that write to the same tables. The applications need to be migrated one by one with a month in between each migration. Management has expressed concerns that the database has a high number of reads and writes. The data must be kept in sync across both databases throughout the migration.
What should a solutions architect recommend?

1. A. Use AWS DataSync for the initial migratio
2. B. Use AWS Database Migration Service (AWS DMS) to create a change data capture (CDC) replication task and a table mapping to select all tables.
3. C. Use AWS DataSync for the initial migratio
4. D. Use AWS Database Migration Service (AWS DMS) to create a full load plus change data capture (CDC) replication task and a table mapping to select all tables.
5. E. Use the AWS Schema Conversion Tool with AWS Database Migration Service (AWS DMS) using a memory optimized replication instanc
6. F. Create a full load plus change data capture (CDC) replication task and a table mapping to select all tables.
7. G. Use the AWS Schema Conversion Tool with AWS Database Migration Service (AWS DMS) using a compute optimized replication instanc
8. H. Create a full load plus change data capture (CDC) replication task and a table mapping to select the largest tables.

Correct Answer: C
https://aws.amazon.com/ko/premiumsupport/knowledge-center/dms- memory-optimization/

- (Topic 1)
An ecommerce company wants to launch a one-deal-a-day website on AWS. Each day will feature exactly one product on sale for a period of 24 hours. The company wants to be able to handle millions of requests each hour with millisecond latency during peak hours.
Which solution will meet these requirements with the LEAST operational overhead?

1. A. Use Amazon S3 to host the full website in different S3 buckets Add Amazon CloudFront distributions Set the S3 buckets as origins for the distributions Store the order data in Amazon S3
2. B. Deploy the full website on Amazon EC2 instances that run in Auto Scaling groups across multiple Availability Zones Add an Application Load Balancer (ALB) to distribute the website traffic Add another ALB for the backend APIs Store the data in Amazon RDS for MySQL
3. C. Migrate the full application to run in containers Host the containers on Amazon Elastic Kubernetes Service (Amazon EKS) Use the Kubernetes Cluster Autoscaler to increase and decrease the number of pods to process bursts in traffic Store the data in Amazon RDS for MySQL
4. D. Use an Amazon S3 bucket to host the website's static content Deploy an Amazon CloudFront distributio
5. E. Set the S3 bucket as the origin Use Amazon API Gateway and AWS Lambda functions for the backend APIs Store the data in Amazon DynamoDB

Correct Answer: D
To launch a one-deal-a-day website on AWS with millisecond latency during peak hours and with the least operational overhead, the best option is to use an Amazon S3 bucket to host the website's static content, deploy an Amazon CloudFront distribution, set the S3 bucket as the origin, use Amazon API Gateway and AWS Lambda functions for the backend APIs, and store the data in Amazon DynamoDB. This option requires minimal operational overhead and can handle millions of requests each hour with millisecond latency during peak hours. Therefore, option D is the correct answer.
Reference: https://aws.amazon.com/blogs/compute/building-a-serverless-multi-player-game-with-aws-lambda-and-amazon-dynamodb/