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SAP-C02日本語関連対策、SAP-C02復習テキスト
2025年Topexamの最新SAP-C02 PDFダンプおよびSAP-C02試験エンジンの無料共有：https://drive.google.com/open?id=19-aG57yNYCewLCSJwZ9bf3BRxqVYOPYk
TopexamのSAP-C02問題集には、PDF版およびソフトウェア版のバージョンがあります。それはあなたに最大の利便性を与えることができます。いつでもどこでも問題を学ぶことができるために、あなたはPDF版の問題集をダウンロードしてプリントアウトすることができます。そして、ソフトウェア版のSAP-C02問題集は実際試験の雰囲気を感じさせることができます。そうすると、受験するとき、あなたは試験を容易に対処することができます。
Amazon SAP-C02の認定試験に合格することで、認定されたAWSソリューションアーキテクト、シニアクラウドアーキテクト、またはクラウドコンサルタントなど、多くのキャリア機会が得られます。この認定は、AWS上でスケーラブルで高可用性なシステムを設計・展開するプロフェッショナルの能力を示し、業界で高く評価されるスキルです。
SAP-C02復習テキスト、SAP-C02試験参考書
TopexamのSAP-C02試験参考書は他のSAP-C02試験に関連するする参考書よりずっと良いです。これは試験の一発合格を保証できる問題集ですから。この問題集の高い合格率が多くの受験生たちに証明されたのです。TopexamのSAP-C02問題集は成功へのショートカットです。この問題集を利用したら、あなたは試験に準備する時間を節約することができるだけでなく、試験で楽に高い点数を取ることもできます。
SAP-C02試験に合格することは、AWS上で複雑でスケーラブルで高可用性のシステムを設計・展開するために必要な技術スキルと知識を持っていることを示しています。この認定は雇用主から高く評価され、より高い給与と優れた職の機会をもたらすことができます。また、最新のAWSテクノロジーを学び、習得するために時間と労力を投資することへのあなたのキャリアに対するコミットメントと意欲を示しています。
Amazon SAP-C02 (AWS Certified Solutions Architect - Professional (SAP-C02)) Examは、Amazon Web Services（AWS）プラットフォーム上でスケーラブルで高可用性かつ耐障害性のシステムを設計および導入する専門知識を持つITプロフェッショナルにとって高く求められる認定試験です。この試験は、既にAWS Certified Solutions Architect - Associate認定を取得し、AWS上で分散アプリケーションおよびシステムを設計する経験のある個人を対象としています。
Amazon AWS Certified Solutions Architect - Professional (SAP-C02) 認定 SAP-C02 試験問題 (Q140-Q145):
質問 # 140
A company hosts a blog post application on AWS using Amazon API Gateway, Amazon DynamoDB, and AWS Lambda. The application currently does not use API keys to authorize requests. The API model is as follows:
GET/posts/[postid] to get post details
GET/users[userid] to get user details
GET/comments/[commentid] to get comments details
The company has noticed users are actively discussing topics in the comments section, and the company wants to increase user engagement by marking the comments appears in real time.
Which design should be used to reduce comment latency and improve user experience?
- A. Use edge-optimized API with Amazon CloudFront to cache API responses.
- B. Use AWS AppSync and leverage WebSockets to deliver comments.
- C. Change the concurrency limit of the Lambda functions to lower the API response time.
- D. Modify the blog application code to request GET comment[commented] every 10 seconds.
正解：B
解説：
Explanation
https://docs.aws.amazon.com/appsync/latest/devguide/graphql-overview.html AWS AppSync is a fully managed GraphQL service that allows applications to securely access, manipulate, and receive data as well as real-time updates from multiple data sources1. AWS AppSync supports GraphQL subscriptions to perform real-time operations and can push data to clients that choose to listen to specific events from the backend1. AWS AppSync uses WebSockets to establish and maintain a secure connection between the clients and the API endpoint2. Therefore, using AWS AppSync and leveraging WebSockets is a suitable design to reduce comment latency and improve user experience.
質問 # 141
A company wants to run a custom network analysis software package to inspect traffic as traffic leaves and enters a VPC. The company has deployed the solution by using AWS Cloud Formation on three Amazon EC2 instances in an Auto Scaling group. All network routing has been established to direct traffic to the EC2 instances.
Whenever the analysis software stops working, the Auto Scaling group replaces an instance. The network routes are not updated when the instance replacement occurs.
Which combination of steps will resolve this issue? {Select THREE.)
- A. In the Cloud Formation template, write a condition that updates the network routes when a replacement instance is launched.
- B. Update the Cloud Formation template to install AWS Systems Manager Agent on the EC2 instances. Configure Systems Manager Agent to send process metrics for the application.
- C. Update the Cloud Formation template to install the Amazon CloudWatch agent on the EC2 instances. Configure the CloudWatch agent to send process metrics for the application.
- D. Create an AWS Lambda function that responds to the Amazon Simple Notification Service (Amazon SNS) message to take the instance out of service. Update the network routes to point to the replacement instance.
- E. Create alarms based on EC2 status check metrics that will cause the Auto Scaling group to replace the failed instance.
- F. Create an alarm for the custom metric in Amazon CloudWatch for the failure scenarios. Configure the alarm to publish a message to an Amazon Simple Notification Service {Amazon SNS) topic.
正解：C、D、F
質問 # 142
A company is running a compute workload by using Amazon EC2 Spot Instances that are in an Auto Scaling group. The launch template uses two placement groups and a single instance type.
Recently, a monitoring system reported Auto Scaling instance launch failures that correlated with longer wait times for system users. The company needs to improve the overall reliability of the workload.
Which solution will meet this requirement?
- A. Create a new launch template version that uses attribute-based instance type selection. Configure the Auto Scaling group to use the new launch template version.
- B. Update the launch template Auto Scaling group to increase the number of placement groups.
- C. Update the launch template to use a larger instance type.
- D. Replace the launch template with a launch configuration to use an Auto Scaling group that uses attribute-based instance type selection.
正解：A
解説：
https://docs.aws.amazon.com/autoscaling/ec2/userguide/create-asg-instance-type-requirements.html#use-attribute-based-instance-type-selection-prerequisites
質問 # 143
A company has an application that runs on Amazon EC2 instances in an Amazon EC2 Auto Scaling group.
The company uses AWS CodePipeline to deploy the application. The instances that run in the Auto Scaling group are constantly changing because of scaling events.
When the company deploys new application code versions, the company installs the AWS CodeDeploy agent on any new target EC2 instances and associates the instances with the CodeDeploy deployment group. The application is set to go live within the next 24 hours.
What should a solutions architect recommend to automate the application deployment process with the LEAST amount of operational overhead?
- A. Configure Amazon EventBridge to invoke an AWS Lambda function when a new EC2 instance is launched into the Auto Scaling group. Code the Lambda function to associate the EC2 instances with the CodeDeploy deployment group.
- B. Create a new AMI that has the CodeDeploy agent installed. Configure the Auto Scaling group's launch template to use the new AMI. Associate the CodeDeploy deployment group with the Auto Scaling group instead of the EC2 instances.
- C. Create a new AWS CodeBuild project that creates a new AMI that contains the new code Configure CodeBuild to update the Auto Scaling group's launch template to the new AMI. Run an Amazon EC2 Auto Scaling instance refresh operation.
- D. Write a script to suspend Amazon EC2 Auto Scaling operations before the deployment of new code When the deployment is complete, create a new AMI and configure the Auto Scaling group's launch template to use the new AMI for new launches. Resume Amazon EC2 Auto Scaling operations.
正解：B
解説：
Explanation
https://docs.aws.amazon.com/codedeploy/latest/userguide/integrations-aws-auto-scaling.html
質問 # 144
A company needs to build a disaster recovery (DR) solution for its ecommerce website. The web application is hosted on a fleet of t3.Iarge Amazon EC2 instances and uses an Amazon RDS for MySQL DB instance.
The EC2 instances are in an Auto Scaling group that extends across multiple Availability Zones.
In the event of a disaster, the web application must fail over to the secondary environment with an RPO of 30 seconds and an R TO of 10 minutes.
Which solution will meet these requirements MOST cost-effectively?
- A. Use infrastructure as code (laC) to provision the new infrastructure in the DR Region. Create a cross- Region read replica for the DB instance. Set up AWS Elastic Disaster Recovery to continuously replicate the EC2 instances to the DR Region. Run the EC2 instances at the minimum capacity in the DR Region Use an Amazon Route 53 failover routing policy to automatically fail over to the DR Region in the event of a disaster. Increase the desired capacity of the Auto Scaling group.
- B. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Create an Amazon Aurora global database. Set up AWS Elastic Disaster Recovery to continuously replicate the EC2 instances to the DR Region. Run the Auto Scaling group of EC2 instances at full capacity in the DR Region. Use an Amazon Route 53 failover routing policy to automatically fail over to the DR Region in the event of a disaster.
- C. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Create a cross- Region read replica for the DB instance. Set up a backup plan in AWS Backup to create cross-Region backups for the EC2 instances and the DB instance. Create a cron expression to back up the EC2 instances and the DB instance every 30 seconds to the DR Region. Recover the EC2 instances from the latest EC2 backup. Use an Amazon Route 53 geolocation routing policy to automatically fail over to the DR Region in the event of a disaster.
- D. Set up a backup plan in AWS Backup to create cross-Region backups for the EC2 instances and the DB instance. Create a cron expression to back up the EC2 instances and the DB instance every 30 seconds to the DR Region. Use infrastructure as code (IaC) to provision the new infrastructure in the DR Region. Manually restore the backed-up data on new instances. Use an Amazon Route 53 simple routing policy to automatically fail over to the DR Region in the event of a disaster.
正解：A
解説：
The company should use infrastructure as code (IaC) to provision the new infrastructure in the DR Region.
The company should create a cross-Region read replica for the DB instance. The company should set up AWS Elastic Disaster Recovery to continuously replicate the EC2 instances to the DR Region. The company should run the EC2 instances at the minimum capacity in the DR Region. The company should use an Amazon Route
53 failover routing policy to automatically fail over to the DR Region in the event of a disaster. The company should increase the desired capacity of the Auto Scaling group. This solution will meet the requirements most cost-effectively because AWS Elastic Disaster Recovery (AWS DRS) is a service that minimizes downtime and data loss with fast, reliable recovery of on-premises and cloud-based applications using affordable storage, minimal compute, and point-in-time recovery. AWS DRS enables RPOs of seconds and RTOs of minutes1. AWS DRS continuously replicates data from the source servers to a staging area subnet in the DR Region, where it uses low-cost storage and minimal compute resources to maintain ongoing replication. In the event of a disaster, AWS DRS automatically converts the servers to boot and run natively on AWS and launches recovery instances on AWS within minutes2. By using AWS DRS, the company can save costs by removing idle recovery site resources and paying for the full disaster recovery site only when needed. By creating a cross-Region read replica for the DB instance, the company can have a standby copy of its primary database in a different AWS Region3. By using infrastructure as code (IaC), the company can provision the new infrastructure in the DR Region in an automated and consistent way4. By using an Amazon Route 53 failover routing policy, the companycan route traffic to a resource that is healthy or to another resource when the first resource becomes unavailable.
The other options are not correct because:
* Using AWS Backup to create cross-Region backups for the EC2 instances and the DB instance would not meet the RPO and RTO requirements. AWS Backup is a service that enables you to centralize and automate data protection across AWS services. You can use AWS Backup to back up your application data across AWS services in your account and across accounts. However, AWS Backup does not provide continuous replication or fast recovery; it creates backups at scheduled intervals and requires manual restoration. Creating backups every 30 seconds would also incur high costs and network bandwidth.
* Creating an Amazon API Gateway Data API service integration with Amazon Redshift would not help with disaster recovery. The Data API is a feature that enables you to query your Amazon Redshift cluster using HTTP requests, without needing a persistent connection or a SQL client. It is useful for building applications that interact with Amazon Redshift, but not for replicating or recovering data.
* Creating an AWS Data Exchange datashare by connecting AWS Data Exchange to the Redshift cluster would not help with disaster recovery. AWS Data Exchange is a service that makes it easy for AWS customers to exchange data in the cloud. You can use AWS Data Exchange to subscribe to a diverse selection of third-party data products or offer your own data products to other AWS customers. A datashare is a feature that enables you to share live and secure access to your Amazon Redshift data across your accounts or with third parties without copying or moving the underlying data. It is useful for sharing query results and views with other users, but not for replicating or recovering data.
References:
https://aws.amazon.com/disaster-recovery/
https://docs.aws.amazon.com/drs/latest/userguide/what-is-drs.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html#USER_ReadRepl.XRgn
https://aws.amazon.com/cloudformation/
https://docs.aws.amazon.com/Route53/latest/DeveloperGuide/dns-failover.html
https://aws.amazon.com/backup/
https://docs.aws.amazon.com/redshift/latest/mgmt/data-api.html
https://aws.amazon.com/data-exchange/
https://docs.aws.amazon.com/redshift/latest/dg/datashare-overview.html
質問 # 145
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