SAP-C02 Free Practice Test

- (Exam Topic 2)
A company runs a processing engine in the AWS Cloud The engine processes environmental data from logistics centers to calculate a sustainability index The company has millions of devices in logistics centers that are spread across Europe The devices send information to the processing engine through a RESTful API
The API experiences unpredictable bursts of traffic The company must implement a solution to process all data that the devices send to the processing engine Data loss is unacceptable
Which solution will meet these requirements?

1. A. Create an Application Load Balancer (ALB) for the RESTful API Create an Amazon Simple Queue Service (Amazon SQS) queue Create a listener and a target group for the ALB Add the SQS queue as the target Use a container that runs in Amazon Elastic Container Service (Amazon ECS) with the Fargate launch type to process messages in the queue
2. B. Create an Amazon API Gateway HTTP API that implements the RESTful API Create an Amazon Simple Queue Service (Amazon SQS) queue Create an API Gateway service integration with the SQS queue Create an AWS Lambda function to process messages in the SQS queue
3. C. Create an Amazon API Gateway REST API that implements the RESTful API Create a fleet of Amazon EC2 instances in an Auto Scaling group Create an API Gateway Auto Scaling group proxy integration Use the EC2 instances to process incoming data
4. D. Create an Amazon CloudFront distribution for the RESTful API Create a data stream in Amazon Kinesis Data Streams Set the data stream as the origin for the distribution Create an AWS Lambda function to consume and process data in the data stream

Correct Answer: A
it will use the ALB to handle the unpredictable bursts of traffic and route it to the SQS queue. The SQS queue will act as a buffer to store incoming data temporarily and the container running in Amazon ECS with the Fargate launch type will process messages in the queue. This approach will ensure that all data is processed and prevent data loss.

- (Exam Topic 1)
A company hosts a Git repository in an on-premises data center. The company uses webhooks to invoke functionality that runs in the AWS Cloud. The company hosts the webhook logic on a set of Amazon EC2 instances in an Auto Scaling group that the company set as a target for an Application Load Balancer (ALB). The Git server calls the ALB for the configured webhooks. The company wants to move the solution to a serverless architecture.
Which solution will meet these requirements with the LEAST operational overhead?

1. A. For each webhook, create and configure an AWS Lambda function UR
2. B. Update the Git servers to call the individual Lambda function URLs.
3. C. Create an Amazon API Gateway HTTP AP
4. D. Implement each webhook logic in a separate AWS Lambda functio
5. E. Update the Git servers to call the API Gateway endpoint.
6. F. Deploy the webhook logic to AWS App Runne
7. G. Create an ALB, and set App Runner as the target.Update the Git servers to call the ALB endpoint.
8. H. Containerize the webhook logi
9. I. Create an Amazon Elastic Container Service (Amazon ECS) cluster, and run the webhook logic in AWS Fargat
10. J. Create an Amazon API Gateway REST API, and set Fargate as the targe
11. K. Update the Git servers to call the API Gateway endpoint.

Correct Answer: B
https://aws.amazon.com/solutions/implementations/git-to-s3-using-webhooks/ https://medium.com/mindorks/building-webhook-is-easy-using-aws-lambda-and-api-gateway-56f5e5c3a596

- (Exam Topic 1)
A company built an application based on AWS Lambda deployed in an AWS CloudFormation stack. The last production release of the web application introduced an issue that resulted in an outage lasting several minutes. A solutions architect must adjust the deployment process to support a canary release.
Which solution will meet these requirements?

1. A. Create an alias for every new deployed version of the Lambda functio
2. B. Use the AWS CLI update-alias command with the routing-config parameter to distribute the load.
3. C. Deploy the application into a new CloudFormation stac
4. D. Use an Amazon Route 53 weighted routing policy to distribute the load.
5. E. Create a version for every new deployed Lambda functio
6. F. Use the AWS CLIupdate-function-configuration command with the routing-config parameter to distribute the load.
7. G. Configure AWS CodeDeploy and use CodeDeployDefault.OneAtATime in the Deployment configuration to distribute the load.

Correct Answer: A
https://aws.amazon.com/blogs/compute/implementing-canary-deployments-of-aws-lambda-functions-with-alias- https://docs.aws.amazon.com/lambda/latest/dg/configuration-aliases.html

- (Exam Topic 2)
A solutions architect wants to cost-optimize and appropriately size Amazon EC2 instances in a single AWS account. The solutions architect wants to ensure that the instances are optimized based on CPU, memory, and network metrics.
Which combination of steps should the solutions architect take to meet these requirements? (Choose two.)

1. A. Purchase AWS Business Support or AWS Enterprise Support for the account.
2. B. Turn on AWS Trusted Advisor and review any “Low Utilization Amazon EC2 Instances” recommendations.
3. C. Install the Amazon CloudWatch agent and configure memory metric collection on the EC2 instances.
4. D. Configure AWS Compute Optimizer in the AWS account to receive findings and optimization recommendations.
5. E. Create an EC2 Instance Savings Plan for the AWS Regions, instance families, and operating systems of interest.

Correct Answer: BD
AWS Trusted Advisor is a service that provides real-time guidance to help users provision their resources following AWS best practices1. One of the Trusted Advisor checks is “Low Utilization Amazon EC2 Instances”, which identifies EC2 instances that appear to be underutilized based on CPU, network I/O, and disk I/O metrics1. This check can help users optimize the cost and size of their EC2 instances by recommending smaller or more appropriate instance types.
AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of AWS resources and generates optimization recommendations to reduce the cost and improve the performance of workloads2. Compute Optimizer supports four types of AWS resources: EC2 instances, EBS volumes, ECS services on AWS Fargate, and Lambda functions2. For EC2 instances, Compute Optimizer evaluates the vCPUs, memory, storage, and other specifications, as well as the CPU utilization, network in and out, disk read and write, and other utilization metrics of currently running instances3. It then recommends optimal instance types based on price-performance trade-offs.
Option A is incorrect because purchasing AWS Business Support or AWS Enterprise Support for the account will not directly help with cost-optimization and sizing of EC2 instances. However, these support plans do provide access to more Trusted Advisor checks than the basic support plan1.
Option C is incorrect because installing the Amazon CloudWatch agent and configuring memory metric collection on the EC2 instances will not provide any optimization recommendations by itself. However, memory metrics can be used by Compute Optimizer to enhance its recommendations if enabled3.
Option E is incorrect because creating an EC2 Instance Savings Plan for the AWS Regions, instance families, and operating systems of interest will not help with cost-optimization and sizing of EC2 instances. Savings Plans are a flexible pricing model that offer lower prices on Amazon EC2 usage in exchange for a commitment to a consistent amount of usage for a 1- or 3-year term4. Savings Plans do not affect the configuration or utilization of EC2 instances.

- (Exam Topic 3)
A company hosts an application on AWS. The application reads and writes objects that are stored in a single Amazon S3 bucket. The company must modify the application to deploy the application in two AWS Regions.
Which solution will meet these requirements with the LEAST operational overhead?

1. A. Set up an Amazon CloudFront distribution with the S3 bucket as an origi
2. B. Deploy the application to a second Region Modify the application to use the CloudFront distributio
3. C. Use AWS Global Accelerator to access the data in the S3 bucket.
4. D. Create a new S3 bucket in a second Regio
5. E. Set up bidirectional S3 Cross-Region Replication (CRR) between the original S3 bucket and the new S3 bucke
6. F. Configure an S3 Multi-Region Access Point that uses both S3 bucket
7. G. Deploy a modified application to both Regions.
8. H. Create a new S3 bucket in a second Region Deploy the application in the second Regio
9. I. Configure the application to use the new S3 bucke
10. J. Set up S3 Cross-Region Replication (CRR) from the original S3 bucket to the new S3 bucket.
11. K. Set up an S3 gateway endpoint with the S3 bucket as an origi
12. L. Deploy the application to a second Regio
13. M. Modify the application to use the new S3 gateway endpoin
14. N. Use S3 Intelligent-Tiering on the S3 bucket.

Correct Answer: B