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

Exam Code:
SAP-C02
Exam Name:
AWS Certified Solutions Architect - Professional
Questions:
691
Last Updated:
Sep 30, 2026
Exam Status:
Stable
Amazon Web Services SAP-C02

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

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AWS Certified Solutions Architect - Professional Questions and Answers

Question 1

A solutions architect is designing an application to accept timesheet entries from employees on their mobile devices. Timesheets will be submitted weekly, with most of the submissions occurring on Friday. The data must be stored in a format that allows payroll administrators to run monthly reports The infrastructure must be highly available and scale to match the rate of incoming data and reporting requests.

Which combination of steps meets these requirements while minimizing operational overhead? (Select TWO}

Options:

A.

Deploy the application to Amazon EC2 On-Demand Instances with load balancing across multiple Availability Zones. Use scheduled Amazon EC2 Auto Scaling to add capacity before the high volume of submissions on Fridays

B.

Deploy the application in a container using Amazon Elastic Container Service (Amazon ECS) with load balancing across multiple Availability Zones Use scheduled Service Auto Scaling to add capacity before the high volume of submissions on Fridays

C.

Deploy the application front end to an Amazon S3 bucket served by Amazon CloudFront Deploy the application backend using Amazon API Gateway with an AWSLambda proxy integration

D.

Store the timesheet submission data in Amazon Redshift Use Amazon QuickSight to generate the reports using Amazon Redshift as the data source

E.

Store the timesheet submission data in Amazon S3. Use Amazon Athena and Amazon QuickSight to generate the reports using Amazon S3 as the data source.

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Question 2

A company is updating an application that customers use to make online orders. The number of attacks on the application by bad actors has increased recently.

The company will host the updated application on an Amazon Elastic Container Service (Amazon ECS) cluster. The company will use Amazon DynamoDB to store application data. A public Application Load Balancer (ALB) will provide end users with access to the application. The company must prevent prevent attacks and ensure business continuity with minimal service interruptions during an ongoing attack.

Which combination of steps will meet these requirements MOST cost-effectively? (Select TWO.)

Options:

A.

Create an Amazon CloudFront distribution with the ALB as the origin. Add a custom header and random value on the CloudFront domain. Configure the ALB to conditionally forward traffic if the header and value match.

B.

Deploy the application in two AWS Regions. Configure Amazon Route 53 to route to both Regions with equal weight.

C.

Configure auto scaling for Amazon ECS tasks. Create a DynamoDB Accelerator (DAX) cluster.

D.

Configure Amazon ElastiCache to reduce overhead on DynamoDB.

E.

Deploy an AWS WAF web ACL that includes an appropriate rule group. Associate the web ACL with the Amazon CloudFront distribution.

Question 3

A company hosts a multi-tier data processing application that consists of a static web application frontend and APIs that are hosted on multiple Amazon EC2 instances. The application stores search data on a single-node Amazon OpenSearch Service cluster that runs on an EC2 instance. The application stores additional data in a PostgreSQL database that runs on another EC2 instance. An NGINX server that is hosted on an EC2 instance serves the web application.

The company has experienced some support issues with the application and wants to modernize the application.

Which solution meets these requirements with the LEAST operational overhead?

Options:

A.

Create an Amazon ECS cluster that runs on AWS Fargate. Configure the ECS cluster to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs.

B.

Host the web application on Amazon CloudFront by using an Amazon S3 origin. Use OpenSearch Service to store the search data and migrate the PostgreSQL database to an Amazon Aurora PostgreSQL cluster. Run the APIs on AWS App Runner.

C.

Create an Amazon EKS cluster that has a managed node group. Configure the EKS cluster to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs.

D.

Configure AWS App Runner to pull images from the Amazon ECR public repositories for OpenSearch Service, PostgreSQL, and NGINX and from a private repository for the APIs. Deploy the images to App Runner.