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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:
962
Last Updated:
Oct 9, 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 is building a serverless application that processes large volumes of data from a mobile app. A Lambda function processes the data and stores it in DynamoDB. The company must ensure the application can recover from failures and continue processing without losing records.

Which solution will meet these requirements?

Options:

A.

Configure the Lambda function with a dead-letter queue (DLQ) using SQS. Retry failed records from the DLQ with exponential backoff.

B.

Configure the Lambda function to read records from Amazon Data Firehose. Replay Firehose records in case of failures.

C.

Use Amazon OpenSearch Service to store failed records. Configure Lambda to retry failed records from OpenSearch. Use EventBridge for orchestration.

D.

Use Amazon SNS to store failed records. Configure Lambda to retry records from SNS. Use API Gateway to orchestrate retries.

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Question 2

A company wants to migrate a Microsoft SQL Server database server from an on-premises data center to AWS. The company needs access to the operating system of the SQL Server database.

Which solution will meet these requirements?

Options:

A.

Migrate the database to Amazon Aurora Serverless.

B.

Migrate the database to Amazon RDS for SQL Server.

C.

Migrate the database to Amazon EC2 instances that run SQL Server.

D.

Migrate the database to Amazon Redshift.

Question 3

A company uses Amazon Redshift to store structured data and Amazon S3 to store unstructured data. The company wants to analyze the stored data and create business intelligence reports. The company needs a data visualization solution that is compatible with Amazon Redshift and Amazon S3.

Which solution will meet these requirements?

Options:

A.

Use Amazon Redshift query editor v2 to analyze data stored in Amazon Redshift. Use Amazon Athena to analyze data stored in Amazon S3. Use Amazon QuickSight to access Amazon Redshift and Athena, visualize the data analyses, and create business intelligence reports.

B.

Use Amazon Redshift Serverless to analyze data stored in Amazon Redshift. Use Amazon S3 Object Lambda to analyze data stored in Amazon S3. Use Amazon Managed Grafana to access Amazon Redshift and Object Lambda, visualize the data analyses, and create business intelligence reports.

C.

Use Amazon Redshift Spectrum to analyze data stored in Amazon Redshift. Use Amazon Athena to analyze data stored in Amazon S3. Use Amazon QuickSight to access Amazon Redshift and Athena, visualize the data analyses, and create business intelligence reports.

D.

Use Amazon OpenSearch Service to analyze data stored in Amazon Redshift and Amazon S3. Use Amazon Managed Grafana to access OpenSearch Service, visualize the data analyses, and create business intelligence reports.