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Amazon Web Services SAA-C03 Exam With Confidence Using Practice Dumps

Exam Code:
SAA-C03
Exam Name:
AWS Certified Solutions Architect - Associate (SAA-C03)
Certification:
Questions:
911
Last Updated:
Jul 8, 2026
Exam Status:
Stable
Amazon Web Services SAA-C03

SAA-C03: AWS Certified Associate Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Solutions Architect - Associate (SAA-C03) Questions and Answers

Question 1

An ecommerce company stores terabytes of customer data in the AWS Cloud. The data contains personally identifiable information (PII). The company wants to use the data in three applications. Only one of the applications needs to process the PII. The PII must be removed before the other two applications process the data.

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

Options:

A.

Store the data in an Amazon DynamoDB table. Create a proxy application layer to intercept and process the data that each application requests.

B.

Store the data in an Amazon S3 bucket. Process and transform the data by using S3 Object Lambda before returning the data to the requesting application.

C.

Process the data and store the transformed data in three separate Amazon S3 buckets so that each application has its own custom dataset. Point each application to its respective S3 bucket.

D.

Process the data and store the transformed data in three separate Amazon DynamoDB tables so that each application has its own custom dataset. Point each application to its respective DynamoDB table.

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Question 2

A company needs a solution to back up and protect critical AWS resources. The company needs to regularly take backups of several Amazon EC2 instances and Amazon RDS for PostgreSQL databases. To ensure high resiliency, the company must have the ability to validate and restore backups.

Which solution meets the requirement with LEAST operational overhead?

Options:

A.

Use AWS Backup to create a backup schedule for the resources. Use AWS Backup to create a restoration testing plan for the required resources.

B.

Take snapshots of the EC2 instances and RDS DB instances. Create AWS Batch jobs to validate and restore the snapshots.

C.

Create a custom AWS Lambda function to take snapshots of the EC2 instances and RDS DB instances. Create a second Lambda function to restore the snapshots periodically to validate the backups.

D.

Take snapshots of the EC2 instances and RDS DB instances. Create an AWS Lambda function to restore the snapshots periodically to validate the backups.

Question 3

A company wants to build a generative AI (GenAI) model for a medical use case. The company has 50 TB of medical image data that is stored in an Amazon S3 bucket. The company plans to train the GenAI model by using Amazon SageMaker AI with multiple GPU-powered instances.

The company needs a storage solution that helps ensure that the data can be loaded from storage fast enough to avoid GPU instance idle time. The storage solution needs to achieve tens of gigabits per second (Gbps) of throughput.

Which solution will meet these requirements?

Options:

A.

Configure the existing S3 bucket as the SageMaker AI data source by using file mode.

B.

Create an Amazon FSx for Lustre file system. Move the data from Amazon S3 to Lustre by using data repository association. Mount the file system on the instances.

C.

Configure the existing S3 bucket as the SageMaker AI data source by using fast file mode.

D.

Move the data to the S3 Glacier Flexible Retrieval storage class. Configure the S3 bucket as the SageMaker AI data source by using fast file mode.