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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
Certification:
AWS Certified Professional
Vendor:
Amazon Web Services
Questions:
683
Last Updated:
Aug 10, 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. 

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AWS Certified Solutions Architect - Professional Questions and Answers

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Question 1

A financial services company loaded millions of historical stock trades into an Amazon DynamoDB table. The table uses on-demand capacity mode. Once each day at midnight, a few million new records are loaded into the table. Application read activity against the table happens in bursts throughout the day. and a limited set of keys are repeatedly looked up. The company needs to reduce costs associated with DynamoDB.

Which strategy should a solutions architect recommend to meet this requirement?

Options:

A.

Deploy an Amazon ElastiCache cluster in front of the DynamoDB table.

B.

Deploy DynamoDB Accelerator (DAX). Configure DynamoDB auto scaling. Purchase Savings Plans in Cost Explorer

C.

Use provisioned capacity mode. Purchase Savings Plans in Cost Explorer.

D.

Deploy DynamoDB Accelerator (DAX). Use provisioned capacity mode. Configure DynamoDB auto scaling.

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Question 2

A company runs an ecommerce web application on AWS. The static website is hosted on Amazon S3 and served via Amazon CloudFront. API Gateway invokes AWS Lambda for order processing, and Lambda stores data in an Amazon RDS for MySQL DB cluster (On-Demand Instances).

Recently, SQL injection attacks and latency during peak times (cold starts) have been reported. The company wants to ensure scalability, protect against web exploits, and reduce database costs.

Options:

A.

Increase Lambda timeout, use RDS Reserved Instances, and use AWS Shield Advanced

B.

Increase Lambda memory, switch to Redshift, use Amazon Inspector

C.

Use provisioned concurrency, switch to Aurora Serverless, use AWS Shield Advanced

D.

Use provisioned concurrency, use RDS Reserved Instances, use AWS WAF with CloudFront

Question 3

A company has migrated an application from on premises to AWS. The application frontend is a static website that runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). The application backend is a Python application that runs on three EC2 instances behind another ALB. The EC2 instances are large, general purpose On-Demand Instances that were sized to meet the on-premises specifications for peak usage of the application.

The application averages hundreds of thousands of requests each month. However, the application is used mainly during lunchtime and receives minimal traffic during the rest of the day.

A solutions architect needs to optimize the infrastructure cost of the application without negatively affecting the application availability.

Which combination of steps will meet these requirements? (Choose two.)

Options:

A.

Change all the EC2 instances to compute optimized instances that have the same number of cores as the existing EC2 instances.

B.

Move the application frontend to a static website that is hosted on Amazon S3.

C.

Deploy the application frontend by using AWS Elastic Beanstalk. Use the same instance type for the nodes.

D.

Change all the backend EC2 instances to Spot Instances.

E.

Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.

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