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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:
758
Last Updated:
Mar 13, 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

A company has a legacy mainframe system that can retrieve data only from systems that provide synchronous RESTful APIs. A developer at the company creates a new web service to calculate stock prices. The new web service takes 3 minutes on average to process each request. The developer must integrate the new web service with the legacy mainframe system.

Which solution will meet these requirements?

Options:

A.

Deploy an Amazon API Gateway REST API. Integrate the REST API with an AWS Lambda function. Configure the legacy mainframe to use the REST API endpoint.

B.

Deploy an Amazon API Gateway HTTP API. Integrate the HTTP API with an AWS Lambda function. Configure the legacy mainframe to use the HTTP API endpoint.

C.

Deploy an Amazon API Gateway WebSocket API. Integrate the WebSocket API with an AWS Lambda function. Configure the legacy mainframe to use the WebSocket API endpoint.

D.

Configure a URL for an AWS Lambda function. Configure the legacy mainframe to use the Lambda function URL endpoint.

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Question 2

A company wants to use automatic machine learning (ML) to create and visualize forecasts of complex scenarios and trends.

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

Options:

A.

Use an AWS Glue ML job to transform the data and create forecasts. Use Amazon QuickSight to visualize the data.

B.

Use Amazon QuickSight to visualize the data. Use ML-powered forecasting in QuickSight to create forecasts.

C.

Use a prebuilt ML AMI from the AWS Marketplace to create forecasts. Use Amazon QuickSight to visualize the data.

D.

Use Amazon SageMaker AI inference pipelines to create and update forecasts. Use Amazon QuickSight to visualize the combined data.

Question 3

A company has a serverless web application that is comprised of AWS Lambda functions. The application experiences spikes in traffic that cause increased latency because of cold starts. The company wants to improve the application ' s ability to handle traffic spikes and to minimize latency. The solution must optimize costs during periods when traffic is low.

Which solution will meet these requirements?

Options:

A.

Configure provisioned concurrency for the Lambda functions. Use AWS Application Auto Scaling to adjust the provisioned concurrency.

B.

Launch Amazon EC2 instances in an Auto Scaling group. Add a scheduled scaling policy to launch additional EC2 instances during peak traffic periods.

C.

Configure provisioned concurrency for the Lambda functions. Set a fixed concurrency level to handle the maximum expected traffic.

D.

Create a recurring schedule in Amazon EventBridge Scheduler. Use the schedule to invoke the Lambda functions periodically to warm the functions.