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Amazon Web Services SAA-C03 Practice Test Questions Answers

Exam Code: SAA-C03 (Updated 557 Q&As with Explanation)
Exam Name: AWS Certified Solutions Architect - Associate (SAA-C03)
Last Update: 30-Oct-2025
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Questions Include:

  • Single Choice: 499 Q&A's
  • Multiple Choice: 58 Q&A's

  • SAA-C03 Overview

    Amazon Web Services SAA-C03 Exam Overview

    Overview Description
    Certification AWS Certified Solutions Architect - Associate
    Exam Code SAA-C03
    Delivery Platform Pearson VUE testing center or online proctored exam
    Prerequisites Experience in designing and deploying cloud solutions on AWS is recommended. The target candidate has at least 1 year of hands-on experience.
    Exam Duration 130 minutes
    Number of Questions 65 (scored)
    Unscored Questions 15 (not included in final score, used by AWS to evaluate future exams)
    Passing Score Scaled score of 720 (minimum performance required to pass is not publicly disclosed)

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    Amazon Web Services SAA-C03 Exam Topics Breakdown

     

    Domain Percentage of Questions Description
    Designing for High Performance 24% Understanding principles for creating high-performing architectures on AWS, including compute, storage, database, and network considerations.
    Designing for Security & Compliance 25% Demonstrating knowledge of security best practices on AWS, compliance considerations, and implementing security controls within an AWS environment.
    Designing for Cost-Optimization 21% Understanding cost optimization strategies on AWS, selecting appropriate pricing models, and managing cloud costs.
    Deployment & Management 30% Understanding deployment strategies on AWS, infrastructure as code concepts, and managing and monitoring AWS resources.

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    All AWS Certified Associate Related Certification Exams

    Total Questions: 368
    Updated: 31-Oct-2025

    Amazon Web Services SAA-C03 Exam Dumps FAQs

    The Amazon Web Services SAA-C03 exam validates your ability to design, deploy, and manage cloud solutions using Amazon Web Services. It is a foundational certification ideal for IT professionals, developers, and anyone who wants to demonstrate their understanding of AWS cloud architecture and best practices.

    The target audience includes individuals with experience in designing distributed applications and systems on the Amazon Web Services platform. It is ideal for those with at least one year of hands-on experience with Amazon Web Services SAA-C03 exam.

    The SAA-C03 exam covers a wide range of AWS services and concepts, including:

    • Cloud computing concepts
    • Identity and access management (IAM)
    • EC2 instances and Auto Scaling
    • S3 storage
    • Networking and VPCs
    • Databases
    • Route 53
    • High availability and disaster recovery
    • Serverless computing
    • Security and compliance

    The Amazon Web Services SAA-C03 exam features a combination of multiple-choice and multiple-response questions. There are a total of 65 questions, and you have 130 minutes to complete the exam.

    The Amazon Web Services SAA-C03 exam consists of 65 questions, which can be either multiple-choice or multiple-response.

    The Amazon Web Services SAA-C03 exam duration is 130 minutes.

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    SAA-C03 Questions and Answers

    Question # 1

    A solutions architect is building an Amazon S3 data lake for a company. The company uses Amazon Kinesis Data Firehose to ingest customer personally identifiable information (PII) and transactional data in near real-time to an S3 bucket. The company needs to mask all PII data before storing thedata in the data lake.

    Which solution will meet these requirements?

    A.

    Create an AWS Lambda function to detect and mask PII. Invoke the function from Kinesis Data Firehose.

    B.

    Use Amazon Macie to scan the S3 bucket. Configure Macie to detect and mask PII.

    C.

    Enable server-side encryption (SSE) on the S3 bucket.

    D.

    Create an AWS Lambda function that integrates with AWS CloudHSM. Configure the function to detect and mask PII.

    Question # 2

    A company wants to implement a data lake in the AWS Cloud. The company must ensure that only specific teams have access to sensitive data in the data lake. The company must have row-level access control for the data lake.

    Options:

    A.

    Use Amazon RDS to store the data. Use IAM roles and permissions for data governance and access control.

    B.

    Use Amazon Redshift to store the data. Use IAM roles and permissions for data governance and access control.

    C.

    Use Amazon S3 to store the data. Use AWS Lake Formation for data governance and access control.

    D.

    Use AWS Glue Catalog to store the data. Use AWS Glue DataBrew for data governance and access control.

    Question # 3

    Question:

    A company wants to migrate an application that uses a microservice architecture to AWS. The services currently run on Docker containers on-premises. The application has an event-driven architecture that uses Apache Kafka. The company configured Kafka to use multiple queues to send and receive messages. Some messages must be processed by multiple services. Which solution will meet these requirements with the LEAST management overhead?

    Options:

    A.

    Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type. Deploy a Kafka cluster on EC2 instances to handle service-to-service communication.

    B.

    Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Create multiple Amazon Simple Queue Service (Amazon SQS) queues to handle service-to-service communication.

    C.

    Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Deploy an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster to handle service-to-service communication.

    D.

    Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type. Use Amazon EventBridge to handle service-to-service communication.

    Question # 4

    A company is migrating a large amount of data from on-premises storage to AWS. Windows, Mac, and Linux based Amazon EC2 instances in the same AWS Region will access the data by using SMB and NFS storage protocols. The company will access a portion of the data routinely. The company will access the remaining data infrequently.

    The company needs to design a solution to host the data.

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

    A.

    Create an Amazon Elastic File System (Amazon EFS) volume that uses EFS Intelligent-Tiering. Use AWS DataSync to migrate the data to the EFS volume.

    B.

    Create an Amazon FSx for ONTAP instance. Create an FSx for ONTAP file system with a root volume that uses the auto tiering policy. Migrate the data to the FSx for ONTAP volume.

    C.

    Create an Amazon S3 bucket that uses S3 Intelligent-Tiering. Migrate the data to the S3 bucket by using an AWS Storage Gateway Amazon S3 File Gateway.

    D.

    Create an Amazon FSx for OpenZFS file system. Migrate the data to the new volume.

    Question # 5

    A solutions architect is designing an application that helps users fill out and submit registration forms. The solutions architect plans to use a two-tier architecture that includes a web application server tier and a worker tier.

    The application needs to process submitted forms quickly. The application needs to process each form exactly once. The solution must ensure that no data is lost.

    Which solution will meet these requirements?

    A.

    Use an Amazon Simple Queue Service {Amazon SQS) FIFO queue between the web application server tier and the worker tier to store and forward form data.

    B.

    Use an Amazon API Gateway HTTP API between the web application server tier and the worker tier to store and forward form data.

    C.

    Use an Amazon Simple Queue Service (Amazon SQS) standard queue between the web application server tier and the worker tier to store and forward form data.

    D.

    Use an AWS Step Functions workflow. Create a synchronous workflow between the web application server tier and the worker tier that stores and forwards form data.

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