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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:
691
Last Updated:
Oct 22, 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

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Question 1

A company runs a software-as-a-service < SaaS) application on AWS The application consists of AWS Lambda functions and an Amazon RDS for MySQL Multi-AZ database During market events the application has a much higher workload than normal Users notice slow response times during the peak periods because of many database connections The company needs to improve the scalable performance and availability of the database

Which solution meets these requirements ' ?

Options:

A.

Create an Amazon CloudWatch alarm action that triggers a Lambda function to add an Amazon RDS for MySQL read replica when resource utilization hits a threshold

B.

Migrate the database to Amazon Aurora, and add a read replica Add a database connection pool outside of the Lambda handler function

C.

Migrate the database to Amazon Aurora and add a read replica Use Amazon Route 53 weighted records

D.

Migrate the database to Amazon Aurora and add an Aurora Replica Configure Amazon RDS Proxy to manage database connection pools

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Question 2

A solutions architect must analyze a company ' s Amazon EC2 Instances and Amazon Elastic Block Store (Amazon EBS) volumes to determine whether the company is using resources efficiently The company is running several large, high-memory EC2 instances lo host database dusters that are deployed in active/passive configurations The utilization of these EC2 instances varies by the applications that use the databases, and the company has not identified a pattern

The solutions architect must analyze the environment and take action based on the findings.

Which solution meets these requirements MOST cost-effectively?

Options:

A.

Create a dashboard by using AWS Systems Manager OpsConter Configure visualizations tor Amazon CloudWatch metrics that are associated with the EC2 instances and their EBS volumes Review the dashboard periodically and identify usage patterns Right size the EC2 instances based on the peaks in the metrics

B.

Turn on Amazon CloudWatch detailed monitoring for the EC2 instances and their EBS volumes Create and review a dashboard that is based on the metrics Identify usage patterns Right size the FC? instances based on the peaks In the metrics

C.

Install the Amazon CloudWatch agent on each of the EC2 Instances Turn on AWS Compute Optimizer, and let it run for at least 12 hours Review the recommendations from Compute Optimizer, and right size the EC2 instances as directed

D.

Sign up for the AWS Enterprise Support plan Turn on AWS Trusted Advisor Wait 12 hours Review the recommendations from Trusted Advisor, and rightsize the EC2 instances as directed

Question 3

A retailer is deploying a customer service AI agent that uses multiple tools to look up orders, process refunds, and make address changes. The retailer needs a solution for its CI/CD pipeline that blocks promotion if a new release regresses on specific metrics. The specific metrics include task completion, tool selection, and final response quality. The retailer wants to test the metric evaluation against a set of golden interaction traces. After deployment, the solution must also continuously monitor for agent degradation and perform a periodic human audit of production results.

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

Options:

A.

Build custom checks by using Amazon CloudWatch Logs and AWS Lambda to parse tool calls and response text. Use weekly manual reviews to decide whether the deployed AI agent meets performance standards.

B.

Use an Amazon Bedrock model evaluation job on the underlying foundation model (FM) by using prompt-response pairs. Promote the release if the model ' s helpfulness and correctness scores improve over the previous release.

C.

Configure agent trace logging. Add Amazon Bedrock AgentCore Evaluations to the pipeline for on-demand evaluation by using built-in and custom evaluators. Enable online evaluation after deployment. Periodically review a sampled subset of sessions.

D.

Use Amazon Bedrock AgentCore Evaluations in online mode after deployment by using built-in evaluators. Use post-deployment rollback if the evaluation detects regression.

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