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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:
AWS Certified Associate
Vendor:
Amazon Web Services
Questions:
649
Last Updated:
Jan 22, 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

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Question 1

A solutions architect must design a solution that uses Amazon CloudFront with an Amazon S3 origin to serve a static website. The solution must use AWS WAF to inspect all website traffic.

Options:

A.

Configure an S3 bucket policy to accept only requests that come from the AWS WAF Amazon Resource Name (ARN).

B.

Configure CloudFront to forward all incoming requests to AWS WAF before CloudFront requests content from the S3 origin.

C.

Configure a security group that allows only CloudFront IP addresses to access Amazon S3. Associate AWS WAF to the CloudFront distribution.

D.

Configure CloudFront and Amazon S3 to use an origin access control (OAC) to secure the origin S3 bucket. Associate AWS WAF to the CloudFront distribution.

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Question 2

A solutions architect is investigating compute options for a critical analytics application. The application uses long-running processes to prepare and aggregate data. The processes cannot be interrupted. The application has a known baseline load. The application needs to handle occasional usage surges.

Which solution will meet these requirements MOST cost-effectively?

Options:

A.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group.

B.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity, Max capacity, and Desired capacity parameters to the number of instances required to handle the baseline load. Use On-Demand Instances to address occasional usage surges.

C.

Create an Amazon EC2 Auto Scaling group. Set the Min capacity and Desired capacity parameters to the number of instances required to handle the baseline load. Purchase Reserved Instances for the Auto Scaling group. Use the OnDemandPercentageAboveBaseCapacity parameter to configure the launch template to launch Spot Instances.

D.

Re-architect the application to use AWS Lambda functions instead of Amazon EC2 instances. Purchase a one-year Compute Savings Plan to reduce the cost of Lambda usage.

Question 3

A company launches a new web application that uses an Amazon Aurora PostgreSQL database. The company wants to add new features to the application that rely on AI. The company requires vector storage capability to use AI tools.

Which solution will meet this requirement MOST cost-effectively?

Options:

A.

Use Amazon OpenSearch Service to create an OpenSearch service. Configure the application to write vector embeddings to a vector index.

B.

Create an Amazon DocumentDB cluster. Configure the application to write vector embeddings to a vector index.

C.

Create an Amazon Neptune ML cluster. Configure the application to write vector embeddings to a vector graph.

D.

Install the pgvector extension on the Aurora PostgreSQL database. Configure the application to write vector embeddings to a vector table.

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