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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Design Solutions for Organizational Complexity	26%	- Design for compliance and governance requirements - Design for operational excellence and automation - Design hybrid and multi-cloud networking - Design multi-account and multi-region architectures
Continuous Improvement for Existing Solutions	25%	- Apply security best practices and compliance updates - Optimize existing workloads for cost, performance, and security - Refactor and modernize legacy applications - Implement monitoring, logging, and observability
Accelerate Workload Migration and Modernization	20%	- Modernize applications and data platforms - Develop migration strategies and plans - Integrate AWS services with existing systems - Migrate applications, data, and infrastructure
Design for New Solutions	29%	- Design secure and resilient architectures - Design high-performing and scalable solutions - Design cost-optimized architectures - Design for reliability and fault tolerance

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Amazon SAP-C02日本語サンプル & SAP-C02関連復習問題集

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) 認定 SAP-C02 試験問題 (Q61-Q66):

質問 # 61
An online magazine will launch its latest edition this month. This edition will be the first to be distributed globally. The magazine's dynamic website currently uses an Application Load Balancer in front of the web tier, a fleet of Amazon EC2 instances for web and application servers, and Amazon Aurora MySQL. Portions of the website include static content and almost all traffic is read-only.
The magazine is expecting a significant spike in internet traffic when the new edition is launched.
Optimal performance is a top priority for the week following the launch.
Which combination of steps should a solutions architect take to reduce system response times for a global audience? (Choose two.)

A. Use an Aurora global database for physical cross-Region replication. Use Amazon S3 with cross- Region replication for static content and resources. Deploy the web and application tiers in Regions across the world.
B. Use logical cross-Region replication to replicate the Aurora MySQL database to a secondary Region. Replace the web servers with Amazon S3. Deploy S3 buckets in cross-Region replication mode.
C. Ensure the web and application tiers are each in Auto Scaling groups. Introduce an AWS Direct Connect connection. Deploy the web and application tiers in Regions across the world.
D. Migrate the database from Amazon Aurora to Amazon RDS for MySQL. Ensure all three of the application tiers - web, application, and database - are in private subnets.
E. Introduce Amazon Route 53 with latency-based routing and Amazon CloudFront distributions.
Ensure the web and application tiers are each in Auto Scaling groups.

正解：A、E

質問 # 62
A company has deployed an IoT device in a rural area that has poor internet connectivity. The device runs an application that captures 1 GB of soil data daily. The application uploads the data to an Amazon S3 bucket. An ML model that runs on an Amazon SageMaker AI real-time inference endpoint processes the data.
The company discovers that the IoT device sometimes fails to upload the daily file because of internet connectivity problems. When the device fails to upload a daily file, the file needs to be fully re-uploaded, which causes operational delays. The company needs a solution to prevent daily file upload failures. The solution must optimize SageMaker AI costs and notify the company when inference jobs finish running.
Which solution will meet these requirements in the MOST cost-effective way?

A. Update the IoT device application to use AWS Global Accelerator. Change the SageMaker AI real-time inference endpoint to a batch transform job.
B. Update the IoT device application to use Amazon S3 multipart uploads to send the data. Change the SageMaker AI inference endpoint to an asynchronous inference endpoint.
C. Update the IoT device application to use AWS Global Accelerator. Change the SageMaker AI real-time inference endpoint to a serverless inference endpoint.
D. Update the IoT device application to use an Amazon S3 table bucket to store files. Change the SageMaker AI inference endpoint to a serverless inference endpoint.

正解：B

解説：
Amazon S3 multipart upload is the best fit for unreliable connectivity because the device can upload the 1 GB file in parts and retry only failed parts instead of restarting the full upload.
SageMaker asynchronous inference is cost-effective for large, non-real-time inference workloads because it queues requests, processes them asynchronously, can scale down when idle, and can send completion notifications through Amazon SNS.

質問 # 63
A company plans to refactor a monolithic application into a modern application designed deployed or AWS.
The CLCD pipeline needs to be upgraded to support the modem design for the application with the following requirements
* It should allow changes to be released several times every hour.
* It should be able to roll back the changes as quickly as possible
Which design will meet these requirements?

A. Use AWS Systems Manager to re-provision the infrastructure for each deployment Update the Amazon EC2 user data to pull the latest code art-fact from Amazon S3 and use Amazon Route 53 weighted routing to point to the new environment
B. Roll out At application updates as pan of an Auto Scaling event using prebuilt AMIs. Use new versions of the AMIs to add instances, and phase out all instances that use the previous AMI version with the configured termination policy during a deployment event.
C. Deploy a Cl-CD pipeline that incorporates AMIs to contain the application and their configurations Deploy the application by replacing Amazon EC2 instances
D. Specify AWS Elastic Beanstak to sage in a secondary environment as the deployment target for the CI/CD pipeline of the application. To deploy swap the staging and production environment URLs.

正解：D

解説：
Explanation
It is the fastest when it comes to rollback and deploying changes every hour

質問 # 64
A company runs a Java application that has complex dependencies on VMs that are in the company's data center. The application is stable. but the company wants to modernize the technology stack. The company wants to migrate the application to AWS and minimize the administrative overhead to maintain the servers.
Which solution will meet these requirements with the LEAST code changes?

A. Migrate the application to Amazon Elastic Container Service (Amazon ECS) on AWS Fargate by using AWS App2Container. Store container images in Amazon Elastic Container Registry (Amazon ECR).
Grant the ECS task execution role permission 10 access the ECR image repository. Configure Amazon ECS to use an Application Load Balancer (ALB). Use the ALB to interact with the application.
B. Migrate the application to Amazon Elastic Kubernetes Service (Amazon EKS) on EKS managed node groups by using AWS App2Container. Store container images in Amazon Elastic Container Registry (Amazon ECR). Give the EKS nodes permission to access the ECR image repository. Use Amazon API Gateway to interact with the application.
C. Migrate the application code to a container that runs in AWS Lambda. Configure Lambda to use an Application Load Balancer (ALB). Use the ALB to interact with the application.
D. Migrate the application code to a container that runs in AWS Lambda. Build an Amazon API Gateway REST API with Lambda integration. Use API Gateway to interact with the application.

正解：A

解説：
According to the AWS documentation1, AWS App2Container (A2C) is a command line tool for migrating and modernizing Java and .NET web applications into container format. AWS A2C analyzes and builds an inventory of applications running in bare metal, virtual machines, Amazon Elastic Compute Cloud (EC2) instances, or in the cloud. You can use AWS A2C to generate container images for your applications and deploy them on Amazon ECS or Amazon EKS.
Option A meets the requirements of the scenario because it allows you to migrate your existing Java application to AWS and minimize the administrative overhead to maintain the servers. You can use AWS A2C to analyze your application dependencies, extract application artifacts, and generate a Dockerfile. You can then store your container images in Amazon ECR, which is a fully managed container registry service.
You can use AWS Fargate as the launch type for your Amazon ECS cluster, which is a serverless compute engine that eliminates the need to provision and manage servers for your containers. You can grant the ECS task execution role permission to access the ECR image repository, which allows your tasks to pull images from ECR. You can configure Amazon ECS to use an ALB, which is a load balancer that distributes traffic across multiple targets in multiple Availability Zones using HTTP or HTTPS protocols. You can use the ALB to interact with your application.

質問 # 65
An education company is running a web application used by college students around the world.
The application runs in an Amazon Elastic Container Service (Amazon ECS) cluster in an Auto Scaling group behind an Application Load Balancer (ALB). A system administrator detects a weekly spike in the number of failed login attempts, which overwhelm the application's authentication service. All the failed login attempts originate from about 500 different IP addresses that change each week. A solutions architect must prevent the failed login attempts from overwhelming the authentication service.
Which solution meets these requirements with the MOST operational efficiency?

A. Create an AWS WAF web ACL with a rate-based rule, and set the rule action to Block. Connect the web ACL to the ALB.
B. Use AWS Firewall Manager to create a security group and security group policy to allow access only to specific CIDR ranges.
C. Use AWS Firewall Manager to create a security group and security group policy to deny access from the IP addresses.
D. Create an AWS WAF web ACL with an IP set match rule, and set the rule action to Block.Connect the web ACL to the ALB.

正解：A

質問 # 66
......

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