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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:
954
Last Updated:
Aug 28, 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 company asks a solutions architect to review the architecture for its messaging application. The application uses TCP and UDP traffic. The company is planning to deploy a new VoIP feature, but its 10 test users in other countries are reporting poor call quality.

The VoIP application runs on an Amazon EC2 instance with more than enough resources. The HTTP portion of the company ' s application behind an Application Load Balancer has no issues.

What should the solutions architect recommend for the company to do to address the VoIP performance issues?

Options:

A.

Use AWS Global Accelerator.

B.

Implement Amazon CloudFront into the architecture.

C.

Use an Amazon Route 53 geoproximity routing policy.

D.

Migrate from Application Load Balancers to Network Load Balancers.

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Question 2

Question:

A company runs a mobile game app that stores session data (up to 256 KB) for up to 48 hours. The data updates frequently and must be deleted automatically after expiration. Restorability is also required.

Options:

Options:

A.

Use an Amazon DynamoDB table to store the session data. Enable point-in-time recovery (PITR) and TTL.

B.

Use Amazon MemoryDB and enable PITR and TTL.

C.

Store session data in S3 Standard. Enable Versioning and a Lifecycle rule to expire objects after 48 hours.

D.

Store data in S3 Intelligent-Tiering with Versioning and a Lifecycle rule to expire after 48 hours.

Question 3

Question:

A company runs an online order management system on AWS. The company stores order and inventory data for the previous 5 years in an Amazon Aurora MySQL database. The company deletes inventory data after 5 years.

The company wants to optimize costs to archive data.

Options:

Options:

A.

Create an AWS Glue crawler to export data to Amazon S3. Create an AWS Lambda function to compress the data.

B.

Use the SELECT INTO OUTFILE S3 query on the Aurora database to export the data to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.

C.

Create an AWS Glue DataBrew Job to migrate data from Aurora to Amazon S3. Configure S3 Lifecycle rules on the S3 bucket.

D.

Use the AWS Schema Conversion Tool (AWS SCT) to replicate data from Aurora to Amazon S3. Use the S3 Standard-Infrequent Access (S3 Standard-IA) storage class.

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