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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:
Dec 23, 2025
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 has a business system that generates hundreds of reports each day. The business system saves the reports to a network share in CSV format. The company needs to store this data in the AWS Cloud in near-real time for analysis.

Options:

A.

Use AWS DataSync to transfer the files to Amazon S3. Create a scheduled task that runs at the end of each day.

B.

Create an Amazon S3 File Gateway. Update the business system to use a new network share from the S3 File Gateway.

C.

Use AWS DataSync to transfer the files to Amazon S3. Create an application that uses the DataSync API in the automation workflow.

D.

Deploy an AWS Transfer for SFTP endpoint. Create a script that checks for new files on the network share and uploads the new files by using SFTP.

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Question 2

A marketing team wants to build a campaign for an upcoming multi-sport event. The team has news reports from the past five years in PDF format. The team needs a solution to extract insights about the content and the sentiment of the news reports. The solution must use Amazon Textract to process the news reports.

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

Options:

A.

Provide the extracted insights to Amazon Athena for analysis Store the extracted insights and analysis in an Amazon S3 bucket.

B.

Store the extracted insights in an Amazon DynamoDB table. Use Amazon SageMaker to build a sentiment model.

C.

Provide the extracted insights to Amazon Comprehend for analysis. Save the analysis to an Amazon S3 bucket.

D.

Store the extracted insights in an Amazon S3 bucket. Use Amazon QuickSight to visualize and analyze the data.

Question 3

Question:

A finance company collects streaming data for a real-time search and visualization system. They want to migrate to AWS using a native solution for ingest, search, and visualization.

Options:

Options:

A.

Use EC2 to ingest/process data to S3 → Athena + Managed Grafana

B.

Use EMR to ingest/process to Redshift → Redshift Spectrum + QuickSight

C.

Use EKS to ingest/process to DynamoDB → CloudWatch Dashboards

D.

Use Kinesis Data Streams → Amazon OpenSearch Service → Amazon QuickSight

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