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Amazon SAA-C03 認定試験の出題範囲：
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出題範囲
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SAA-C03入門知識、SAA-C03資格認証攻略
市場では、顧客の観点から判断するための未定の品質を備えたいくつかの実習用教材が市場に登場しています。 間違ったSAA-C03練習教材を選択した場合、重大な間違いになります。 彼らの行動は厳密に倫理的ではなく、あなたにとって無責任ではありません。 進捗状況を確認し、SAA-C03トレーニング資料の証明書を取得することは、当然のことながら、最新かつ最も正確な知識を備えた最も専門的な専門家によるものです。 AWS Certified Solutions Architect - Associate試験準備は市場の大部分を占めています。 次のようにいくつかの機能を知ってください。
Amazon AWS Certified Solutions Architect - Associate 認定 SAA-C03 試験問題 (Q955-Q960):
質問 # 955
A security team wants to limit access to specific services or actions in all of the team's AWS accounts. All accounts belong to a large organization in AWS Organizations. The solution must be scalable and there must be a single point where permissions can be maintained.
What should a solutions architect do to accomplish this?
正解：C
解説：
Explanation
Service control policies (SCPs) are one type of policy that you can use to manage your organization. SCPs offer central control over the maximum available permissions for all accounts in your organization, allowing you to ensure your accounts stay within your organization's access control guidelines. See
https://docs.aws.amazon.com/organizations/latest/userguide/orgs_manage_policies_scp.html.
質問 # 956
A company wants to securely exchange data between its software as a service (SaaS) application Salesforce account and Amazon S3. The company must encrypt the data at rest by using AWS Key Management Service (AWS KMS) customer managed keys (CMKs). The company must also encrypt the data in transit. The company has enabled API access for the Salesforce account.
Which solution will meet these requirements with the LEAST development effort?
正解：A
解説：
Explanation
Amazon AppFlow is a fully managed integration service that enables users to transfer data securely between SaaS applications and AWS services. It supports Salesforce as a source and Amazon S3 as a destination. It also supports encryption of data at rest using AWS KMS CMKs and encryption of data in transit using SSL/TLS1. By using Amazon AppFlow, the solution can meet the requirements with the least development effort.
A: Create AWS Lambda functions to transfer the data securely from Salesforce to Amazon S3. This solution will not meet the requirement of the least development effort, as it involves writing custom code to interact with Salesforce and Amazon S3 APIs, handle authentication, encryption, error handling, and monitoring2.
B: Create an AWS Step Functions workflow Define the task to transfer the data securely from Salesforce to Amazon S3. This solution will not meet the requirement of the least development effort, as it involves creating a state machine definition to orchestrate the data transfer task, and invoking Lambda functions or other services to perform the actual data transfer3.
D: Create a custom connector for Salesforce to transfer the data securely from Salesforce to Ama-zon S3. This solution will not meet the requirement of the least development effort, as it involves using the Amazon AppFlow Custom Connector SDK to build and deploy a custom connector for Salesforce, which requires additional configuration and management.
Reference URL: https://aws.amazon.com/appflow/
質問 # 957
A company is migrating a distributed application to AWS The application serves variable workloads The legacy platform consists of a primary server trial 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?
正解：D
質問 # 958
A company wants to run its payment application on AWS The application receives payment notifications from mobile devices Payment notifications require a basic validation before they are sent for further processing The backend processing application is long running and requires compute and memory to be adjusted The company does not want to manage the infrastructure Which solution will meet these requirements with the LEAST operational overhead?
正解：A
解説：
This option is the best solution because it allows the company to run its payment application on AWS with minimal operational overhead and infrastructure management. By using Amazon API Gateway, the company can create a secure and scalable API to receive payment notifications from mobile devices. By using AWS Lambda, the company can run a serverless function to validate the payment notifications and send them to the backend application. Lambda handles the provisioning, scaling, and security of the function, reducing the operational complexity and cost. By using Amazon ECS with AWS Fargate, the company can run the backend application on a fully managed container service that scales the compute resources automatically and does not require any EC2 instances to manage. Fargate allocates the right amount of CPU and memory for each container and adjusts them as needed.
A . Create an Amazon Simple Queue Service (Amazon SQS) queue Integrate the queue with an Amazon EventBndge rule to receive payment notifications from mobile devices Configure the rule to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon Elastic Kubernetes Service (Amazon EKS) Anywhere Create a standalone cluster. This option is not optimal because it requires the company to manage the Kubernetes cluster that runs the backend application. Amazon EKS Anywhere is a deployment option that allows the company to create and operate Kubernetes clusters on-premises or in other environments outside AWS. The company would need to provision, configure, scale, patch, and monitor the cluster nodes, which can increase the operational overhead and complexity. Moreover, the company would need to ensure the connectivity and security between the AWS services and the EKS Anywhere cluster, which can also add challenges and risks.
B . Create an Amazon API Gateway API Integrate the API with anAWS Step Functions state ma-chine to receive payment notifications from mobile devices Invoke the state machine to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon Elastic Kubernetes Sen/ice (Amazon EKS). Configure an EKS cluster with self-managed nodes. This option is not ideal because it requires the company to manage the EC2 instances that host the Kubernetes cluster that runs the backend application. Amazon EKS is a fully managed service that runs Kubernetes on AWS, but it still requires the company to manage the worker nodes that run the containers. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, using AWS Step Functions to validate the payment notifications may be unnecessary and complex, as the validation logic can be implemented in a simpler way with Lambda or other services.
C . Create an Amazon Simple Queue Sen/ice (Amazon SQS) queue Integrate the queue with an Amazon EventBridge rule to receive payment notifications from mobile devices Configure the rule to validate payment notifications and send the notifications to the backend application Deploy the backend application on Amazon EC2 Spot Instances Configure a Spot Fleet with a default al-location strategy. This option is not cost-effective because it requires the company to manage the EC2 instances that run the backend application. The company would need to provision, configure, scale, patch, and monitor the EC2 instances, which can increase the operational overhead and infrastructure costs. Moreover, using Spot Instances can introduce the risk of interruptions, as Spot Instances are reclaimed by AWS when the demand for On-Demand Instances increases. The company would need to handle the interruptions gracefully and ensure the availability and reliability of the backend application.
Reference:
1 Amazon API Gateway - Amazon Web Services
2 AWS Lambda - Amazon Web Services
3 Amazon Elastic Container Service - Amazon Web Services
4 AWS Fargate - Amazon Web Services
質問 # 959
A company runs a three-tier web application in a VPC across multiple Availability Zones. Amazon EC2 instances run in an Auto Scaling group for the application tier.
The company needs to make an automated scaling plan that will analyze each resource's daily and weekly historical workload trends. The configuration must scale resources appropriately according to both the forecast and live changes in utilization.
Which scaling strategy should a solutions architect recommend to meet these requirements?
正解：C
解説：
This solution meets the requirements because it allows the company to use both predictive scaling and dynamic scaling to optimize the capacity of its Auto Scaling group. Predictive scaling uses machine learning to analyze historical data and forecast future traffic patterns. It then adjusts the desired capacity of the group in advance of the predicted changes. Dynamic scaling uses target tracking to maintain a specified metric (such as CPU utilization) at a target value. It scales the group in or out as needed to keep the metric close to the target. By using both scaling methods, the company can benefit from faster, simpler, and more accurate scaling that responds to both forecasted and live changes in utilization.
Reference:
Predictive scaling for Amazon EC2 Auto Scaling
[Target tracking scaling policies for Amazon EC2 Auto Scaling]
質問 # 960
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この驚くほど高く受け入れられている試験に適合するには、SAA-C03学習教材のような上位の実践教材で準備する必要があります。彼らは時間とお金の面で最良の選択です。 SAA-C03トレーニング準備のすべての内容は、素人にfされているのではなく、この分野のエリートによって作成されています。弊社の優秀なヘルパーによる効率に魅了された数万人の受験者を引き付けたリーズナブルな価格に沿ってみましょう。難しい難問は、SAA-C03クイズガイドで解決します。
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