AWS Certified Professional SAP-C02 Updated Exam

AWS Certified Solutions Architect - Professional Questions and Answers

Question 77

A company is hosting an application on AWS for a project that will run for the next 3 years. The application consists of 20 Amazon EC2 On-Demand Instances that are registered in a target group for a Network Load Balancer (NLB). The instances are spread across two Availability Zones. The application is stateless and runs 24 hours a day, 7 days a week.

The company receives reports from users who are experiencing slow responses from the application. Performance metrics show that the instances are at 10% CPU utilization during normal application use. However, the CPU utilization increases to 100% at busy times, which typically last for a few hours.

The company needs a new architecture to resolve the problem of slow responses from the application.

Which solution will meet these requirements MOST cost-effectively?

Options:

Create an Auto Scaling group. Attach the Auto Scaling group to the target group of the NLB. Set the minimum capacity to 20 and the desired capacity to 28. Purchase Reserved Instances for 20 instances.

Create a Spot Fleet that has a request type of request. Set the TotalTargetCapacity parameter to 20. Set the DefaultTargetCapacityType parameter to On-Demand. Specify the NLB when creating the Spot Fleet.

Create a Spot Fleet that has a request type of maintain. Set the TotalTargetCapacity parameter to 20. Set the DefaultTargetCapacityType parameter to Spot. Replace the NLB with an Application Load Balancer.

Create an Auto Scaling group. Attach the Auto Scaling group to the target group of the NLB. Set the minimum capacity to 4 and the maximum capacity to 28. Purchase Reserved Instances for four instances.

Question 78

A company runs an unauthenticated static website that includes a registration form for users. The website uses Amazon S3 for hosting and uses Amazon CloudFront as the content delivery network with AWS WAF configured. When the registration form is submitted, the website calls an Amazon API Gateway API endpoint that invokes an AWS Lambda function to process the payload and forward the payload to an external API call.

During testing, a solutions architect encounters a cross-origin resource sharing (CORS) error. The solutions architect confirms that the CloudFront distribution origin has the Access-Control-Allow-Origin header set

What should the solutions architect do to resolve the error?

Options:

Change the CORS configuration on the S3 bucket. Add rules for CORS to the Allowed Origin element forwww.example.com.

Enable the CORS setting in AWS WAF. Create a web ACL rule in which the Access-Control-Allow-Origin header is set towww.example.com.

Enable the CORS setting on the API Gateway API endpoint. Ensure that the API endpoint is configured to return all responses that have the Access-Control -Allow-Origin header set towww.example.com.

Enable the CORS setting on the Lambda function. Ensure that the return code of the function has the Access-Control-Allow-Origin header set towww.example.com.

Question 79

A solutions architect has an operational workload deployed on Amazon EC2 instances in an Auto Scaling Group The VPC architecture spans two Availability Zones (AZ) with a subnet in each that the Auto Scaling group is targeting. The VPC is connected to an on-premises environment and connectivity cannot be interrupted The maximum size of the Auto Scaling group is 20 instances in service. The VPC IPv4 addressing is as follows:

VPCCIDR 10 0 0 0/23

AZ1 subnet CIDR: 10 0 0 0724

AZ2 subnet CIDR: 10.0.1 0724

Since deployment, a third AZ has become available in the Region The solutions architect wants to adopt the new AZ without adding additional IPv4 address space and without service downtime. Which solution will meet these requirements?

Options:

Update the Auto Scaling group to use the AZ2 subnet only Delete and re-create the AZ1 subnet using half the previous address space Adjust the Auto Scaling group to also use the new AZI subnet When the instances are healthy, adjust the Auto Scaling group to use the AZ1 subnet only Remove the current AZ2 subnet Create a new AZ2 subnet using the second half of the address space from the original AZ1 subnet Create a new AZ3 subnet using half th

Terminate the EC2 instances in the AZ1 subnet Delete and re-create the AZ1 subnet using hall the address space. Update the Auto Scaling group to use this new subnet. Repeat this for the second AZ. Define a new subnet in AZ3: then update the Auto Scaling group to target all three new subnets

Create a new VPC with the same IPv4 address space and define three subnets, with one for each AZ Update the existing Auto Scaling group to target the new subnets in the new VPC

Update the Auto Scaling group to use the AZ2 subnet only Update the AZ1 subnet to have halt the previous address space Adjust the Auto Scaling group to also use the AZ1 subnet again. When the instances are healthy, adjust the Auto Seating group to use the AZ1 subnet only. Update the current AZ2 subnet and assign the second half of the address space from the original AZ1 subnet Create a new AZ3 subnet usinghalf the original AZ2 subnet addres

Question 80

A company is migrating its on-premises IoT platform to AWS. The platform consists of the following components:

A MongoDB cluster as a data store for all collected and processed IoT data.

An application that uses MQTT to connect to IoT devices every 5 minutes to collect data.

An application that runs jobs periodically to generate reports from the IoT data. The jobs take 120–600 seconds to finish running.

A web application that runs on a web server. End users use the web application to generate reports that are accessible to the general public.

The company needs to migrate the platform to AWS to reduce operational overhead while maintaining performance.

Which combination of steps will meet these requirements with the LEAST operational overhead? Select THREE.

Options:

Create AWS Step Functions state machines with AWS Lambda tasks to prepare the reports and to write the reports to Amazon S3. Configure an Amazon CloudFront distribution that has an S3 origin to serve the reports.

Create an AWS Lambda function. Program the Lambda function to connect to the IoT devices, process the data, and write the data to the data store. Configure a Lambda layer to temporarily store messages for processing.

Configure an Amazon EKS cluster with Amazon EC2 instances to prepare the reports. Create an ingress controller on the EKS cluster to serve the reports.

Connect the IoT devices to AWS IoT Core to publish messages. Create an AWS IoT rule that runs when a message is received. Configure the rule to call an AWS Lambda function. Program the Lambda function to parse, transform, and store device message data to the data store.

Migrate the MongoDB cluster to Amazon DocumentDB.

Migrate the MongoDB cluster to Amazon EC2 instances.

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AWS Certified Professional SAP-C02 Updated Exam

AWS Certified Solutions Architect - Professional Questions and Answers

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