Quiz 2026 Accurate SAA-C03: AWS Certified Solutions Architect - Associate Free Sample

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Amazon SAA-C03 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design Cost-Optimized Architectures20%- Cost-effective resource selection
  • 1. Right-sizing EC2 instances
    • 2. Storage class optimization in S3
      - Cost management tools
      • 1. AWS Cost Explorer
        • 2. Budgets and billing alarms
          Topic 2: Design Secure Architectures30%- Secure access to AWS resources
          • 1. Encryption in transit and at rest
            • 2. IAM users, roles, and policies
              • 3. AWS STS and temporary credentials
                - Secure workloads and applications
                • 1. Security groups and NACLs
                  • 2. Data protection using KMS
                    Topic 3: Design Resilient Architectures26%- Highly available architecture
                    • 1. Auto Scaling groups
                      • 2. Multi-AZ deployments
                        - Fault tolerance and recovery
                        • 1. Disaster recovery approaches
                          • 2. Backup and restore strategies
                            Topic 4: Design High-Performing Architectures24%- Performance scaling
                            • 1. Load balancing with ELB
                              • 2. Caching with CloudFront and ElastiCache
                                - Compute and storage optimization
                                • 1. S3 performance features
                                  • 2. EC2 instance selection

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                                    Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q907-Q912):

                                    NEW QUESTION # 907
                                    A company is migrating a distributed application to AWS. The application serves variable workloads. The legacy platform consists of a primary server that coordinates jobs across multiple compute nodes. The company wants to modernize the application with a solution that maximizes resiliency and scalability.
                                    How should a solutions architect design the architecture to meet these requirements?

                                    Answer: D

                                    Explanation:
                                    To decouple distributed workloads and improve scalability and resiliency, Amazon SQS should be used as a reliable job queue. The compute nodes (workers) can poll the SQS queue for tasks, and EC2 Auto Scaling can dynamically scale instances based on the ApproximateNumberOfMessages metric.
                                    From AWS Documentation:
                                    "Amazon SQS enables you to decouple application components, allowing each part to scale independently.
                                    You can scale EC2 instances automatically based on the number of messages in the queue." (Source: Amazon SQS Developer Guide - Scaling Consumers with Auto Scaling) Why B is correct:
                                    * Eliminates the single point of failure (the primary coordinator).
                                    * Enables event-driven scaling based on queue depth.
                                    * Provides durability and resiliency since messages are stored redundantly.
                                    * Fully managed and integrates seamlessly with Auto Scaling policies.
                                    Why other options are incorrect:
                                    * A: Scheduled scaling does not respond to variable workloads.
                                    * C & D: Misuse of CloudTrail/EventBridge; not intended for workload coordination.
                                    References:
                                    Amazon SQS Developer Guide - "Integrating SQS with Auto Scaling"
                                    AWS Well-Architected Framework - Reliability Pillar


                                    NEW QUESTION # 908
                                    A financial company wants to store their data in Amazon S3 but at the same time, they want to store their frequently accessed data locally on their on-premises server. This is due to the fact that they do not have the option to extend their on-premises storage, which is why they are looking for a durable and scalable storage service to use in AWS.
                                    What is the best solution for this scenario?

                                    Answer: B

                                    Explanation:
                                    By using Cached volumes, you store your data in Amazon Simple Storage Service (Amazon S3) and retain a copy of frequently accessed data subsets locally in your on-premises network. Cached volumes offer substantial cost savings on primary storage and minimize the need to scale your storage on- premises. You also retain low-latency access to your frequently accessed data. This is the best solution for this scenario.
                                    Using a fleet of EC2 instance with EBS volumes to store the commonly used data is incorrect because an EC2 instance is not a storage service and it does not provide the required durability and scalability.
                                    Using both Elasticache and S3 for frequently accessed data is incorrect as this is not efficient. Moreover, the question explicitly said that the frequently accessed data should be stored locally on their on- premises server and not on AWS.
                                    Using Amazon Glacier is incorrect as this is mainly used for data archiving.
                                    Explanation:
                                    Reference:
                                    https://aws.amazon.com/storagegateway/faqs/
                                    Check out this AWS Storage Gateway Cheat Sheet:
                                    https://tutorialsdojo.com/aws-storage-gateway/


                                    NEW QUESTION # 909
                                    A social media company runs its application on Amazon EC2 instances behind an Application Load Balancer (ALB). The ALB is the origin for an Amazon CloudFront distribution. The application has more than a billion images stored in an Amazon S3 bucket and processes thousands of images each second. The company wants to resize the images dynamically and serve appropriate formats to clients.
                                    Which solution will meet these requirements with the LEAST operational overhead?

                                    Answer: C

                                    Explanation:
                                    Explanation
                                    Lambda@Edge is a service that allows you to run Lambda functions at CloudFront edge locations. It can be used to modify requests and responses that flow through CloudFront. CloudFront origin request policy is a policy that controls the values (URL query strings, HTTP headers, and cookies) that are included in requests that CloudFront sends to the origin. It can be used to collect additional information at the origin or to customize the origin response. CloudFront response headers policy is a policy that specifies the HTTP headers that CloudFront removes or adds in responses that it sends to viewers. It can be used to add security or custom headers to responses.
                                    Based on these definitions, the solution that will meet the requirements with the least operational overhead is:
                                    C: Use a Lambda@Edge function with an external image management library. Associate the Lambda@Edge function with the CloudFront behaviors that serve the images.
                                    This solution would allow the application to use a Lambda@Edge function to resize the images dynamically and serve appropriate formats to clients based on the User-Agent HTTP header in the request. The Lambda@Edge function would run at the edge locations, reducing latency and load on the origin. The application code would only need to include an external image management library that can perform image manipulation tasks1.


                                    NEW QUESTION # 910
                                    A company is deploying an application in three AWS Regions using an Application Load Balancer. Amazon Route 53 will be used to distribute traffic between these Regions. Which Route
                                    53 configuration should a solutions architect use to provide the MOST high-performing experience?

                                    Answer: C

                                    Explanation:
                                    Latency-based routing in Amazon Route 53 is designed to route users to the Region that provides the lowest network latency, based on Amazon's measurements of latency between AWS Regions and users' networks. For applications deployed in multiple Regions, this provides the highest performance experience for global users.
                                    Therefore, creating an A record with a latency routing policy is the correct choice.


                                    NEW QUESTION # 911
                                    A company currently runs an on-premises application that uses ASP.NET on Linux machines.
                                    The application is resource-intensive and serves customers directly. The company wants to modernize the application to .NET. The company wants to run the application on containers and to scale based on Amazon CloudWatch metrics. The company also wants to reduce the time spent on operational maintenance activities. Which solution will meet these requirements with the LEAST operational overhead?

                                    Answer: C


                                    NEW QUESTION # 912
                                    ......

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