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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:
674
Last Updated:
May 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

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Question 1

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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Question 2

A global ecommerce company has many data centers around the world. With the growth of its stored data, the company needs to set up a solution to provide scalable storage for legacy on-premises file applications. The company must be able to take point-in-time copies of volumes by using AWS Backup and must retain low-latency access to frequently accessed data. The company also needs to have storage volumes that can be mounted as Internet Small Computer System Interface (iSCSI) devices from the company ' s on-premises application servers.

Which solution will meet these requirements?

Options:

A.

Provision an AWS Storage Gateway tape gateway. Configure the tape gateway to store data in anAmazon S3 bucket. Deploy AWS Backup to take point-in-time copies of the volumes.

B.

Provision an Amazon FSx File Gateway and an Amazon S3 File Gateway. Deploy AWS Backup to take point-in-time copies of the data.

C.

Provision an AWS Storage Gateway volume gateway in cache mode. Back up the on-premises Storage Gateway volumes with AWS Backup.

D.

Provision an AWS Storage Gateway file gateway in cache mode. Deploy AWS Backup to take point-in-time copies of the volumes.

Question 3

A global company operates a platform that serves customers across multiple AWS Regions. The platform stores customer behavioral data.

For data residency compliance, the company must ensure that personally identifiable information (PII) data remains within the Region where the data is collected. Additionally, the company must ensure that cross-Region data analysis uses only anonymized datasets.

Which solution will meet these requirements?

Options:

A.

Deploy AWS Outposts in each Region to keep data on premises. Store data in Amazon S3 on Outposts. Use AWS Glue DataBrew to anonymize PII data. Analyze cross-Region data by using Amazon Athena.

B.

Deploy Amazon Aurora PostgreSQL clusters in separate Regions. Use AWS Glue DataBrew to anonymize PII data. Analyze cross-Region data by using Amazon Redshift Serverless.

C.

Deploy Amazon Aurora PostgreSQL clusters in separate Regions. Use AWS Lambda functions to anonymize PII data before replication. Use AWS PrivateLink to connect Amazon QuickSight to cross-Region databases for analysis.

D.

Deploy Amazon S3 buckets in each Region. Enable S3 Block Public Access and bucket policies to prevent cross-Region replication. Use Amazon Macie to anonymize data. Analyze cross-Region data by using Amazon Athena.

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