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Amazon SAA-C03 Exam Syllabus Topics:

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

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                                    Amazon AWS Certified Solutions Architect - Associate Sample Questions (Q785-Q790):

                                    NEW QUESTION # 785
                                    A company currently runs an on-premises stock trading application by using Microsoft Windows Server. The company wants to migrate the application to the AWS Cloud. The company needs to design a highly available solution that provides low-latency access to block storage across multiple Availability Zones. Which solution will meet these requirements with the LEAST implementation effort?

                                    Answer: A

                                    Explanation:
                                    This solution is designed to provide high availability and low-latency access to block storage across multiple Availability Zones with minimal implementation effort.
                                    * Windows Server Cluster Across AZs: Configuring a Windows Server Failover Cluster (WSFC) that spans two Availability Zones ensures that the application can failover from one instance to another in case of a failure, meeting the high availability requirement.
                                    * Amazon FSx for Windows File Server: FSx for Windows File Server provides fully managed Windows file storage that is accessible via the SMB protocol, which is suitable for Windows-based applications. It offers high availability and can be used as shared storage between the cluster nodes, ensuring that both nodes have access to the same data with low latency.
                                    * Why Not Other Options?:
                                    * Option B (EBS with application-level replication): This requires complex configuration and management, as EBS volumes cannot be directly shared across AZs. Application-level replication is more complex and prone to errors.
                                    * Option C (FSx for NetApp ONTAP with iSCSI): While this is a viable option, it introduces additional complexity with iSCSI and requires more specialized knowledge for setup and management.
                                    * Option D (EBS with EBS-level replication): EBS-level replication is not natively supported across AZs, and setting up a custom replication solution would increase the implementation effort.
                                    AWS References:
                                    * Amazon FSx for Windows File Server - Overview and benefits of using FSx for Windows File Server.
                                    * Windows Server Failover Clustering on AWS - Guide on setting up a Windows Server cluster on AWS.


                                    NEW QUESTION # 786
                                    A company is deploying an application that processes large quantities of data in parallel. The company plans to use Amazon EC2 instances for the workload. The network architecture must be configurable to prevent groups of nodes from sharing the same underlying hardware.
                                    Which networking solution meets these requirements?

                                    Answer: D

                                    Explanation:
                                    it allows the company to deploy an application that processes large quantities of data in parallel and prevent groups of nodes from sharing the same underlying hardware. By running the EC2 instances in a spread placement group, the company can launch a small number of instances across distinct underlying hardware to reduce correlated failures. A spread placement group ensures that each instance is isolated from each other at the rack level. References:
                                    Placement Groups
                                    Spread Placement Groups


                                    NEW QUESTION # 787
                                    [Design Resilient Architectures]
                                    A company designed a stateless two-tier application that uses Amazon EC2 in a single Availability Zone and an Amazon RDS Multi-AZ DB instance New company management wants to ensure the application is highly available.
                                    What should a solutions architect do to meet this requirement?

                                    Answer: A

                                    Explanation:
                                    https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-add-availability-zone.html


                                    NEW QUESTION # 788
                                    [Design Cost-Optimized Architectures]
                                    A company is developing an application that will run on a production Amazon Elastic Kubernetes Service (Amazon EKS) cluster The EKS cluster has managed node groups that are provisioned with On-Demand Instances.
                                    The company needs a dedicated EKS cluster for development work. The company will use the development cluster infrequently to test the resiliency of the application. The EKS cluster must manage all the nodes.
                                    Which solution will meet these requirements MOST cost-effectively?

                                    Answer: D

                                    Explanation:
                                    Spot Instances are EC2 instances that are available at up to a 90% discount compared to On-Demand prices. Spot Instances are suitable for stateless, fault-tolerant, and flexible workloads that can tolerate interruptions. Spot Instances can be reclaimed by EC2 when the demand for On-Demand capacity increases, but they provide a two-minute warning before termination. EKS managed node groups automate the provisioning and lifecycle management of nodes for EKS clusters. Managed node groups can use Spot Instances to reduce costs and scale the cluster based on demand. Managed node groups also support features such as Capacity Rebalancing and Capacity Optimized allocation strategy to improve the availability and resilience of Spot Instances. This solution will meet the requirements most cost-effectively, as it leverages the lowest-priced EC2 capacity and does not require any manual intervention.
                                    Reference:
                                    1 explains how to create and use managed node groups with EKS.
                                    2 describes how to use Spot Instances with managed node groups.
                                    3 provides an overview of Spot Instances and their benefits.


                                    NEW QUESTION # 789
                                    A global news network created a CloudFront distribution for their web application. However, you noticed that the application's origin server is being hit for each request instead of the AWS Edge locations, which serve the cached objects. The issue occurs even for the commonly requested objects.
                                    What could be a possible cause of this issue?

                                    Answer: A

                                    Explanation:
                                    You can control how long your objects stay in a CloudFront cache before CloudFront forwards another request to your origin. Reducing the duration allows you to serve dynamic content. Increasing the duration means your users get better performance because your objects are more likely to be served directly from the edge cache. A longer duration also reduces the load on your origin.
                                    Typically, CloudFront serves an object from an edge location until the cache duration that you specified passes - that is, until the object expires. After it expires, the next time the edge location gets a user request for the object, CloudFront forwards the request to the origin server to verify that the cache contains the latest version of the object.

                                    The Cache-Control and Expires headers control how long objects stay in the cache. The Cache-Control max-age directive lets you specify how long (in seconds) you want an object to remain in the cache before CloudFront gets the object again from the origin server. The minimum expiration time CloudFront supports is 0 seconds for web distributions and 3600 seconds for RTMP distributions.
                                    In this scenario, the main culprit is that the Cache-Control max-age directive is set to a low value, which is why the request is always directed to your origin server.
                                    Hence, the correct answer is: The Cache-Control max-age directive is set to zero.
                                    The option that says: An object is only cached by CloudFront once a successful request has been made hence, the objects were not requested before, which is why the request is still directed to the origin server is incorrect because the issue also occurs even for the commonly requested objects. This means that these objects were successfully requested before but due to a zero Cache-Control max-age directive value, it causes this issue in CloudFront.
                                    The option that says: The file sizes of the cached objects are too large for CloudFront to handle is incorrect because this is not related to the issue in caching.
                                    The option that says: There are two primary origins configured in your Amazon CloudFront Origin Group is incorrect because you cannot set two origins in CloudFront in the first place. An origin group includes two origins which are the primary origin and the second origin that will be used for the actual failover. It also includes the failover criteria that you need to specify. In this scenario, the issue is more on the cache hit ratio and not about origin failovers.
                                    Explanation:
                                    Reference:
                                    http://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/Expiration.html Check out this Amazon CloudFront Cheat Sheet: https://tutorialsdojo.com/amazon-cloudfront/


                                    NEW QUESTION # 790
                                    ......

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