Spring Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

Amazon Web Services SAP-C02 Exam With Confidence Using Practice Dumps

Exam Code:
SAP-C02
Exam Name:
AWS Certified Solutions Architect - Professional
Questions:
674
Last Updated:
May 31, 2026
Exam Status:
Stable
Amazon Web Services SAP-C02

SAP-C02: AWS Certified Professional Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Amazon Web Services SAP-C02 (AWS Certified Solutions Architect - Professional) exam? Download the most recent Amazon Web Services SAP-C02 braindumps with answers that are 100% real. After downloading the Amazon Web Services SAP-C02 exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Amazon Web Services SAP-C02 exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Amazon Web Services SAP-C02 exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (AWS Certified Solutions Architect - Professional) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA SAP-C02 test is available at CertsTopics. Before purchasing it, you can also see the Amazon Web Services SAP-C02 practice exam demo.

AWS Certified Solutions Architect - Professional Questions and Answers

Question 1

A multi-tenant software as a service (SaaS) customer support platform serves thousands of enterprise clients. The platform must deploy more than 5,000 customized models that use the same ML framework to classify tickets, optimize inference infrastructure costs, and maintain sub-200 ms latency. The platform must operate in a multiaccount AWS architecture that includes separate accounts for development, staging, and production environments.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Deploy each model to a dedicated Amazon SageMaker AI real-time endpoint. Provision ml.g5.xlarge instances to handle peak traffic. Use cross-account IAM roles to grant AWS accounts access to model artifacts.

B.

Deploy models by using Amazon SageMaker AI multi-model endpoints with inference components. Enable auto scaling in a centralized production account.

C.

Deploy models to individual Amazon SageMaker AI serverless inference endpoints. Configure auto scaling. Deploy the endpoints in separate AWS accounts for each environment. Use cross-account Amazon S3 bucket policies to share models.

D.

Deploy models to Amazon SageMaker AI asynchronous inference endpoints. Use Amazon S3 to queue requests from multiple accounts. Use batch transform jobs to perform offline processing.

Buy Now
Question 2

A company uses a Grafana data visualization solution that runs on a single Amazon EC2 instance to monitor the health of the company ' s AWS workloads. The company has invested time and effort to create dashboards that the company wants to preserve. The dashboards need to be highly available and cannot be down for longer than 10 minutes. The company needs to minimize ongoing maintenance.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Migrate to Amazon CloudWatch dashboards. Recreate the dashboards to match the existing Grafana dashboards. Use automatic dashboards where possible.

B.

Create an Amazon Managed Grafana workspace. Configure a new Amazon CloudWatch data source. Export dashboards from the existing Grafana instance. Import the dashboards into the new workspace.

C.

Create an AMI that has Grafana pre-installed. Store the existing dashboards in Amazon Elastic File System (Amazon EFS). Create an Auto Scaling group that uses the new AMI. Set the Auto Scaling group ' s minimum, desired, and maximum number of instances to one. Create an Application Load Balancer that serves at least two Availability Zones.

D.

Configure AWS Backup to back up the EC2 instance that runs Grafana once each hour. Restore the EC2 instance from the most recent snapshot in an alternate Availability Zone when required.

Question 3

A company is preparing to deploy an Amazon Elastic Kubernetes Service (Amazon EKS) cluster for a workload. The company expects the cluster to support an

unpredictable number of stateless pods. Many of the pods will be created during a short time period as the workload automatically scales the number of replicas that the workload uses.

Which solution will MAXIMIZE node resilience?

Options:

A.

Use a separate launch template to deploy the EKS control plane into a second cluster that is separate from the workload node groups.

B.

Update the workload node groups. Use a smaller number of node groups and larger instances in the node groups.

C.

Configure the Kubernetes Cluster Autoscaler to ensure that the compute capacity of the workload node groups stays under provisioned.

D.

Configure the workload to use topology spread constraints that are based on Availability Zone.