AWS-Solution-Architect-Associate Free Practice Test

- (Topic 3)
A company is building a new dynamic ordering website. The company wants to minimize server maintenance and patching. The website must be highly available and must scale read and write capacity as quickly as possible to meet changes in user demand.
Which solution will meet these requirements?

1. A. Host static content in Amazon S3 Host dynamic content by using Amazon API Gateway and AWS Lambda Use Amazon DynamoDB with on-demand capacity for the database Configure Amazon CloudFront to deliver the website content
2. B. Host static content in Amazon S3 Host dynamic content by using Amazon API Gateway and AWS Lambda Use Amazon Aurora with Aurora Auto Scaling for the database Configure Amazon CloudFront to deliver the website content
3. C. Host al the website content on Amazon EC2 instances Create an Auto Scaling group to scale the EC2 Instances Use an Application Load Balancer to distribute traffic Use Amazon DynamoDB with provisioned write capacity for the database
4. D. Host at the website content on Amazon EC2 instances Create an Auto Scaling group toscale the EC2 instances Use an Application Load Balancer to distribute traffic Use Amazon Aurora with Aurora Auto Scaling for the database

Correct Answer: A
Key phrase in the Question is must scale read and write capacity. Aurora is only for Read. Amazon DynamoDB has two read/write capacity modes for processing reads and writes on your tables: On-demand Provisioned (default, free-tier eligible) https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/HowItWorks.ReadWriteCapacityMode.html

- (Topic 1)
A global company hosts its web application on Amazon EC2 instances behind an Application Load Balancer (ALB). The web application has static data and dynamic data. The company stores its static data in an Amazon S3 bucket. The company wants to improve performance and reduce latency for the static data and dynamic data. The company is using its own domain name registered with Amazon Route 53.
What should a solutions architect do to meet these requirements?

1. A. Create an Amazon CloudFront distribution that has the S3 bucket and the ALB as origins Configure Route 53 to route traffic to the CloudFront distribution.
2. B. Create an Amazon CloudFront distribution that has the ALB as an origin Create an AWS Global Accelerator standard accelerator that has the S3 bucket as an endpoin
3. C. Configure Route 53 to route traffic to the CloudFront distribution.
4. D. Create an Amazon CloudFront distribution that has the S3 bucket as an origin Create an AWS Global Accelerator standard accelerator that has the ALB and the CloudFront distribution as endpoints Create a custom domain name that points to the accelerator DNS name Use the custom domain name as an endpoint for the web application.
5. E. Create an Amazon CloudFront distribution that has the ALB as an origin
6. F. Create an AWS Global Accelerator standard accelerator that has the S3 bucket as an endpoint Create two domain name
7. G. Point one domain name to the CloudFront DNS name for dynamic content, Point the other domain name to the accelerator DNS name for static content Use the domain names as endpoints for the web application.

Correct Answer: C
Static content can be cached at Cloud front Edge locations from S3 and dynamic content EC2 behind the ALB whose performance can be improved by Global Accelerator whose one endpoint is ALB and other Cloud front. So with regards to custom domain name endpoint is web application is R53 alias records for the custom domain point to web application https://aws.amazon.com/blogs/networking-and-content-delivery/improving-availability-and-performance-for-application-load-balancers-using-one-click-integration- with-aws-global-accelerator/

- (Topic 3)
A company has an API that receives real-time data from a fleet of monitoring devices. The API stores this data in an Amazon RDS DB instance for later analysis. The amount of data that the monitoring devices send to the API fluctuates. During periods of heavy traffic, the API often returns timeout errors.
After an inspection of the logs, the company determines that the database is not capable of processing the volume of write traffic that comes from the API. A solutions architect must minimize the number of connections to the database and must ensure that data is not lost during periods of heavy traffic.
Which solution will meet these requirements?

1. A. Increase the size of the DB instance to an instance type that has more available memory.
2. B. Modify the DB instance to be a Multi-AZ DB instanc
3. C. Configure the application to write to all active RDS DB instances.
4. D. Modify the API to write incoming data to an Amazon Simple Queue Service (Amazon SQS) queu
5. E. Use an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database.
6. F. Modify the API to write incoming data to an Amazon Simple Notification Service (Amazon SNS) topi
7. G. Use an AWS Lambda function that Amazon SNS invokes to write data from the topic to the database.

Correct Answer: C
Using Amazon SQS will help minimize the number of connections to the database, as the API will write data to a queue instead of directly to the database. Additionally, using an AWS Lambda function that Amazon SQS invokes to write data from the queue to the database will help ensure that data is not lost during periods of heavy traffic, as the queue will serve as a buffer between the API and the database.

- (Topic 1)
A company is building an ecommerce web application on AWS. The application sends information about new orders to an Amazon API Gateway REST API to process. The company wants to ensure that orders are processed in the order that they are received.
Which solution will meet these requirements?

1. A. Use an API Gateway integration to publish a message to an Amazon Simple Notification Service (Amazon SNS) topic when the application receives an orde
2. B. Subscribe an AWS Lambda function to the topic to perform processing.
3. C. Use an API Gateway integration to send a message to an Amazon Simple Queue Service (Amazon SQS) FIFO queue when the application receives an orde
4. D. Configure the SQS FIFO queue to invoke an AWS Lambda function for processing.
5. E. Use an API Gateway authorizer to block any requests while the application processes an order.
6. F. Use an API Gateway integration to send a message to an Amazon Simple Queue Service (Amazon SQS) standard queue when the application receives an orde
7. G. Configure the SQS standard queue to invoke an AWS Lambda function for processing.

Correct Answer: B
To ensure that orders are processed in the order that they are received, the best solution is to use an Amazon SQS FIFO (First-In-First-Out) queue. This type of queue maintains the exact order in which messages are sent and received. In this case, the application can send information about new orders to an Amazon API Gateway REST API, which can then use an API Gateway integration to send a message to an Amazon SQS FIFO queue for processing. The queue can then be configured to invoke an AWS Lambda function to perform the necessary processing on each order. This ensures that orders are processed in the exact order in which they are received.

- (Topic 4)
A company has data collection sensors at different locations. The data collection sensors stream a high volume of data to the company. The company wants to design a platform on AWS to ingest and process high-volume streaming data. The solution must be scalable and support data collection in near real time. The company must store the data in Amazon S3 for future reporting.
Which solution will meet these requirements with the LEAST operational overhead?

1. A. Use Amazon Kinesis Data Firehose to deliver streaming data to Amazon S3.
2. B. Use AWS Glue to deliver streaming data to Amazon S3.
3. C. Use AWS Lambda to deliver streaming data and store the data to Amazon S3.
4. D. Use AWS Database Migration Service (AWS DMS) to deliver streaming data to Amazon S3.

Correct Answer: A
To ingest and process high-volume streaming data with the least operational overhead, Amazon Kinesis Data Firehose is a suitable solution. Amazon Kinesis Data Firehose can capture, transform, and deliver streaming data to Amazon S3 or other destinations. Amazon Kinesis Data Firehose can scale automatically to match the throughput of the data and handle any amount of data. Amazon Kinesis Data Firehose is also a fully managed service that does not require any servers to provision or manage. References:
✑ What Is Amazon Kinesis Data Firehose?
✑ Amazon Kinesis Data Firehose Pricing