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Amazon SAP-C02 exam is a professional level certification that tests the skills and expertise of an individual in designing and deploying AWS solutions. AWS Certified Solutions Architect - Professional (SAP-C02) certification is designed for professionals who are already certified as AWS Certified Solutions Architect – Associate and have hands-on experience in designing and deploying scalable, fault-tolerant, and highly available systems on AWS.

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q197-Q202):

NEW QUESTION # 197
A company migrated to AWS and uses AWS Business Support. The company wants to monitor thecost- effectiveness of Amazon EC2 instances. The EC2 instances have tags for department, business unit, and environment. Development EC2 instances have high cost but low utilization.
The company needs to detect and stop any underutilized development EC2 instances. Instances are underutilized if they had 10% or less average CPU utilization and 5 MB or less network I/O for at least 4 of the past 14 days.
Which solution will meet these requirements with the LEAST operational overhead?

A. Configure AWS Systems Manager to track EC2 instance utilization and report underutilized instances to Amazon CloudWatch. Filter the CloudWatch data by tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized EC2 instances.
B. Create an Amazon EventBridge rule to detect low utilization of EC2 instances reported by AWS Trusted Advisor. Configure the rule to invoke a Lambda function that filters the data by tags for department, business unit, and environment and stops underutilized development EC2 instances.
C. Configure Amazon CloudWatch dashboards to monitor EC2 instance utilization based on tags for department, business unit, and environment. Create an Amazon EventBridge rule that invokes an AWS Lambda function to stop underutilized development EC2 instances.
D. Create an AWS Lambda function to run daily to retrieve utilization data for all EC2 instances. Save the data to an Amazon DynamoDB table. Create a QuickSight dashboard that uses the DynamoDB table as a data source to identify and stop underutilized development EC2 instances.

Answer: A

NEW QUESTION # 198
A company is running its solution on AWS in a manually created VPC. The company is using AWS CloudFormation to provision other parts of the infrastructure. According to a new requirement, the company must manage all infrastructure in an automatic way.
What should the company do to meet this new requirement with the LEAST effort?

A. Create a new CloudFormation template that strictly provisions the existing VPC resources and configuration. From the CloudFormation console, create a new stack by importing the Existing resources.
B. Create a new AWS Cloud Development Kit (AWS CDK) stack that strictly provisions the existing VPC resources and configuration. Use AWS CDK to import the VPC into the stack and to manage the VPC.
C. Create a CloudFormation stack set that creates the VPC. Use the stack set to import the VPC into the stack.
D. Create a new CloudFormation template that creates the VPC. Use the AWS Serverless Application Model (AWS SAM) CLI to import the VPC.

Answer: A

Explanation:
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/resource-import.html

NEW QUESTION # 199
A company needs to improve the reliability ticketing application. The application runs on an Amazon Elastic Container Service (Amazon ECS) cluster. The company uses Amazon CloudFront to servo the application. A single ECS service of the ECS cluster is the CloudFront distribution's origin.
The application allows only a specific number of active users to enter a ticket purchasing flow. These users are identified by an encrypted attribute in their JSON Web Token (JWT). All other users are redirected to a waiting room module until there is available capacity for purchasing.
The application is experiencing high loads. The waiting room modulo is working as designed, but load on the waiting room is disrupting the application's availability. This disruption is negatively affecting the application's ticket sale Transactions.
Which solution will provide the MOST reliability for ticket sale transactions during periods of high load? '

A. Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Create a CloudFront function That inspects the JWT information and appropriately forwards requests to the ticketing service or the waiting room service
B. Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the wailing room module into a pod that is separate from the ticketing pod. Use AWS App Mesh by provisioning the App Mesh controller for Kubermetes. Enable mTLS authentication and service-to-service authentication for communication between the ticketing pod and the waiting room pod. Ensure that the ticketing pod uses The JWT information and appropriately forwards requests to the waiting room pod.
C. Move the application to an Amazon Elastic Kubernetes Service (Amazon EKS) cluster. Split the wailing room module into a pod that is separate from the ticketing pod. Make the ticketing pod part of a StatefuISeL Ensure that the ticketing pod uses the JWT information and appropriately forwards requests to the waiting room pod.
D. Create a separate service in the ECS cluster for the waiting room. Use a separate scaling configuration. Ensure that the ticketing service uses the JWT info-nation and appropriately forwards requests to the waring room service.

Answer: A

Explanation:
Implementing a CloudFront function that inspects the JWT information and appropriately forwards requests either to the ticketing service or the waiting room service within the Amazon ECS cluster enhances reliability during high load periods. This solution segregates the load between the main application and the waiting room, ensuring that the ticketing service remains unaffected by the high load on the waiting room. Using CloudFront functions for request routing based on JWT attributes allows for efficient distribution of user traffic, thereby maintaining the application's availability and performance during peak times.

NEW QUESTION # 200
A company operates a fleet of servers on premises and operates a fleet of Amazon EC2 instances in its organization in AWS Organizations. The company's AWS accounts contain hundreds of VPCs. The company wants to connect its AWS accounts to its on-premises network. AWS Site-to-Site VPN connections are already established to a single AWS account. The company wants to control which VPCs can communicate with other VPCs.
Which combination of steps will achieve this level of control with the LEAST operational effort? (Choose three.)

A. Create a transit gateway in an AWS account. Share the transit gateway across accounts by using AWS Resource Access Manager (AWS RAM).
B. Configure VPC peering between the VPCs.
C. Set up route tables on the VPCs and VPNs.
D. Configure attachments between the VPCs and VPNs.
E. Configure attachments to all VPCs and VPNs.
F. Set up transit gateway route tables. Associate the VPCs and VPNs with the route tables.

Answer: A,E,F

NEW QUESTION # 201
A company has an application that sells tickets online and experiences bursts of demand every 7 days. The application has a stateless presentation layer running on Amazon EC2. an Oracle database to store unstructured data catalog information, and a backend API layer. The front-end layer uses an Elastic Load Balancer to distribute the load across nine On-Demand Instances over three Availability Zones (AZs). The Oracle database is running on a single EC2 instance. The company is experiencing performance issues when running more than two concurrent campaigns. A solutions architect must design a solution that meets the following requirements:
* Address scalability issues.
* Increase the level of concurrency.
* Eliminate licensing costs.
* Improve reliability.
Which set of steps should the solutions architect take?

A. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the Oracle database into a single Amazon RDS reserved DB instance.
B. Convert the On-Demand Instances into Spot Instances to reduce costs for the front end. Convert the tables in the Oracle database into Amazon DynamoDB tables.
C. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Convert the tables in the Oracle database into Amazon DynamoDB tables.
D. Create an Auto Scaling group for the front end with a combination of On-Demand and Spot Instances to reduce costs. Create two additional copies of the database instance, then distribute the databases in separate AZs.

Answer: C

Explanation:
Explanation
Combination of On-Demand and Spot Instances + DynamoDB.

NEW QUESTION # 202
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