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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:
Feb 15, 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 has 5 TB of datasets. The datasets consist of 1 million user profiles and 10 million connections. The user profiles have connections as many-to-many relationships. The company needs a performance-efficient way to find mutual connections up to five levels.

Which solution will meet these requirements?

Options:

A.

Use an Amazon S3 bucket to store the datasets. Use Amazon Athena to perform SQL JOIN queries to find connections.

B.

Use Amazon Neptune to store the datasets with edges and vertices. Query the data to find connections.

C.

Use an Amazon S3 bucket to store the datasets. Use Amazon QuickSight to visualize connections.

D.

Use Amazon RDS to store the datasets with multiple tables. Perform SQL JOIN queries to find connections.

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Question 2

A company runs a Microsoft Windows SMB file share on-premises to support an application. The company wants to migrate the application to AWS. The company wants to share storage across multiple Amazon EC2 instances.

Which solutions will meet these requirements with the LEAST operational overhead? (Select TWO.)

Options:

A.

Create an Amazon Elastic File System (Amazon EFS) file system with elastic throughput.

B.

Create an Amazon FSx for NetApp ONTAP file system.

C.

Use Amazon Elastic Block Store (Amazon EBS) to create a self-managed Windows file share on the instances.

D.

Create an Amazon FSx for Windows File Server file system.

E.

Create an Amazon FSx for OpenZFS file system.

Question 3

A marketing company receives a large amount of new clickstream data in Amazon S3 from a marketing campaign The company needs to analyze the clickstream data in Amazon S3 quickly. Then the company needs to determine whether to process the data further in the data pipeline.

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

Options:

A.

Create external tables in a Spark catalog Configure jobs in AWS Glue to query the data

B.

Configure an AWS Glue crawler to crawl the data. Configure Amazon Athena to query the data.

C.

Create external tables in a Hive metastore. Configure Spark jobs in Amazon EMR to query the data.

D.

Configure an AWS Glue crawler to crawl the data. Configure Amazon Kinesis Data Analytics to use SQL to query the data

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