New Year Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

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:
649
Last Updated:
Dec 14, 2025
Exam Status:
Stable
Amazon Web Services SAA-C03

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

Are you worried about passing the Amazon Web Services SAA-C03 (AWS Certified Solutions Architect - Associate (SAA-C03)) exam? Download the most recent Amazon Web Services SAA-C03 braindumps with answers that are 100% real. After downloading the Amazon Web Services SAA-C03 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 SAA-C03 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 SAA-C03 exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (AWS Certified Solutions Architect - Associate (SAA-C03)) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA SAA-C03 test is available at CertsTopics. Before purchasing it, you can also see the Amazon Web Services SAA-C03 practice exam demo.

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

Question 1

A company has 5 TB of datasets. The datasets consist of 1 million user profiles and 10 million connections. The user profiles have connections as many-to-many relationships. The company needs a performance-efficient way to find mutual connections up to five levels.

Which solution will meet these requirements?

Options:

A.

Use an Amazon S3 bucket to store the datasets. Use Amazon Athena to perform SQL JOIN queries to find connections.

B.

Use Amazon Neptune to store the datasets with edges and vertices. Query the data to find connections.

C.

Use an Amazon S3 bucket to store the datasets. Use Amazon QuickSight to visualize connections.

D.

Use Amazon RDS to store the datasets with multiple tables. Perform SQL JOIN queries to find connections.

Buy Now
Question 2

A global ecommerce company is designing a three-tier application on AWS. The application includes a web tier that serves static content, an application tier that handles business logic, and a database tier that stores product information and user data. The application interacts with a relational database.

The company needs a highly available application architecture to serve global users with low latency, with the least operational overhead.

Which solution will meet these requirements?

Options:

A.

Deploy Amazon EC2 instances in an Auto Scaling group for the application tier and web tier in a single AWS Region. Use an Application Load Balancer to distribute web traffic. Use an Amazon RDS database and Multi-AZ deployments for the database tier.

B.

Set up an Amazon CloudFront distribution that uses an Amazon S3 bucket as the origin. Use Amazon Elastic Container Service (Amazon ECS) containers on AWS Fargate to deploy the application tier to each AWS Region where the company operates. Use an Amazon Aurora global database for the database tier.

C.

Use an Amazon S3 bucket to store the static web content. Use Amazon EC2 Auto Scaling and EC2 Spot Instances for the application tier. Use Amazon RDS for MySQL with read replicas for the database tier. Use AWS Database Migration Service (AWS DMS) to replicate data to secondary AWS Regions.

D.

Use an Amazon S3 bucket to store static web content. Use AWS Lambda functions to handle serverless backend logic in the application tier. Use Amazon API Gateway to invoke the Lambda functions for web requests. Use an Amazon DynamoDB database for the database tier. Deploy the DynamoDB database across multiple AWS Regions.

Question 3

A company's solutions architect is building a static website to be deployed in Amazon S3 for a production environment. The website integrates with an Amazon Aurora PostgreSQL database by using an AWS Lambda function. The website that is deployed to production will use a Lambda alias that points to a specific version of the Lambda function.

The company must rotate the database credentials every 2 weeks. Lambda functions that the company deployed previously must be able to use the most recent credentials.

Which solution will meet these requirements?

Options:

A.

Store the database credentials in AWS Secrets Manager. Turn on rotation. Write code in the Lambda function to retrieve the credentials from Secrets Manager.

B.

Include the database credentials as part of the Lambda function code. Update the credentials periodically and deploy the new Lambda function.

C.

Use Lambda environment variables. Update the environment variables when new credentials are available.

D.

Store the database credentials in AWS Systems Manager Parameter Store. Turn on rotation. Write code in the Lambda function to retrieve the credentials from Systems Manager Parameter Store.