試験の準備方法-効率的なSAP-C02試験感想試験-100％合格率のSAP-C02学習教材

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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Design for New Solutions	29%	- Design cost-optimized architectures - Design high-performing and scalable solutions - Design secure and resilient architectures - Design for reliability and fault tolerance
Topic 2: Design Solutions for Organizational Complexity	26%	- Design hybrid and multi-cloud networking - Design for operational excellence and automation - Design multi-account and multi-region architectures - Design for compliance and governance requirements
Topic 3: Accelerate Workload Migration and Modernization	20%	- Integrate AWS services with existing systems - Migrate applications, data, and infrastructure - Develop migration strategies and plans - Modernize applications and data platforms
Topic 4: Continuous Improvement for Existing Solutions	25%	- Optimize existing workloads for cost, performance, and security - Implement monitoring, logging, and observability - Refactor and modernize legacy applications - Apply security best practices and compliance updates

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) 認定 SAP-C02 試験問題 (Q743-Q748):

質問 # 743
Question:
A company hosts an ecommerce site using EC2, ALB, and DynamoDB in one AWS Region. The site uses a custom domain in Route 53. The company wants toreplicate the stack to a second Regionfordisaster recoveryandfaster accessfor global customers.
What should the architect do?

A. Use Beanstalk and DynamoDB Streams for replication. Use latency-based routing.
B. Use the console to recreate the infra manually in the second Region. Use weighted routing.
C. Replicate only the S3 and DynamoDB data. Use Route 53 failover routing.
D. Use CloudFormation to deploy to the second Region. Use Route 53 latency-based routing. Enable global tables in DynamoDB.

正解：D

解説：
A is correct because:
* CloudFormation templatesenable repeatable infrastructure deployment.
* Route 53 latency-based routingensures users hit the closest Region.
* DynamoDB global tablesallow multi-Region, active-active replication of application data.
Manual console work (B) is not scalable.
C lacks EC2/ALB replication.
D adds unnecessary services like Beanstalk and doesn't scale cleanly.
Reference:https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/GlobalTables.html

質問 # 744
A software company is using three AWS accounts for each of its 1 0 development teams The company has developed an AWS CloudFormation standard VPC template that includes three NAT gateways The template is added to each account for each team The company is concerned that network costs will increase each time a new development team is added A solutions architect must maintain the reliability of the company's solutions and minimize operational complexity What should the solutions architect do to reduce the network costs while meeting these requirements?

A. Create a single VPC with three NAT gateways in a shared services account Configure each account VPC with a default route through a VPC peering connection to the NAT gateway in the shared services account VPC Remove all NAT gateways from the standard VPC template
B. Create a single VPC with three NAT gateways in a shared services account Configure a Site-to-Site VPN connection from each account to the shared services account Remove all NAT gateways from the standard VPC template
C. Remove two NAT gateways from the standard VPC template Rely on the NAT gateway SLA to cover reliability for the remaining NAT gateway.
D. Create a single VPC with three NAT gateways in a shared services account Configure each account VPC with a default route through a transit gateway to the NAT gateway in the shared services account VPC Remove all NAT gateways from the standard VPC template

正解：D

解説：
https://aws.amazon.com/cn/blogs/networking-and-content-delivery/creating-a-single-internet-exit-point-from-multiple-vpcs-using-aws-transit-gateway/

質問 # 745
Question:
A company runs an application on Amazon EC2 and AWS Lambda. The application stores temporary data in Amazon S3. The S3 objects are deleted after 24 hours.
The company deploys new versions of the application by launching AWS CloudFormation stacks. The stacks create the required resources. After validating a new version, the company deletes the old stack. The deletion of an old development stack recently failed.
A solutions architect needs to resolve this issue without major architecture changes.
Which solution will meet these requirements?

A. Update the CloudFormation stack to add a DeletionPolicy attribute with a value of Snapshot for the S3 bucket resource.
B. Create a Lambda function to delete objects from the S3 bucket. Add the Lambda function as a custom resource in the CloudFormation stack with a DependsOn attribute that points to the S3 bucket resource.
C. Modify the CloudFormation stack to attach a DeletionPolicy attribute with a value of Delete to the S3 bucket.
D. Update the CloudFormation template to create an Amazon EFS file system to store temporary files instead of Amazon S3. Configure the Lambda functions to run in the same VPC as the EFS file system.

正解：B

解説：
Comprehensive and Detailed Explanation:
CloudFormation cannot delete non-empty S3 buckets. OptionAallows you to create acustom Lambda resourcethat deletes all objects in the S3 bucket before the stack deletes it. The DependsOn ensures the bucket deletion occurs only after the Lambda has completed.
* B: Adding DeletionPolicy: Delete does not resolve the issue if the bucket still contains objects.
* C: Snapshot doesn't apply to S3 and won't help here.
* D: Changing to Amazon EFS would require architectural changes, which are not allowed per requirements.
#Reference:
https://aws.amazon.com/blogs/devops/safely-delete-s3-buckets-using-aws-cloudformation/
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-attribute-deletionpolicy.html

質問 # 746
A company is storing data in several Amazon DynamoDB tables. A solutions architect must use a serverless architecture to make the data accessible publicly through a simple API over HTTPS. The solution must scale automatically in response to demand.
Which solutions meet these requirements? (Choose two.)

A. Create an accelerator in AWS Global Accelerator. Configure this accelerator with AWS Lambda@Edge function integrations that return data from the DynamoDB tables.
B. Create a Network Load Balancer. Configure listener rules to forward requests to the appropriate AWS Lambda functions
C. Create an Amazon API Gateway HTTP API. Configure this API with integrations to AWS Lambda functions that return data from the DynamoDB tables.
D. Create an Amazon API Gateway REST API. Configure this API with direct integrations to DynamoDB by using API Gateway's AWS integration type.
E. Create an Amazon API Gateway HTTP API. Configure this API with direct integrations to Dynamo DB by using API Gateway's AWS integration type.

正解：C、D

解説：
https://docs.aws.amazon.com/apigateway/latest/developerguide/api-gateway-overview-developer-experience.html

質問 # 747
A company is using an Amazon EMR cluster to run its big data jobs. The cluster's jobs are invoked by AWS Step Functions Express Workflows that consume various Amazon Simple Queue Service (Amazon SQS) queues. The workload of this solution is variable and unpredictable. Amazon CloudWatch metrics show that the cluster's peak utilization is only 25% at times and that the cluster sits idle the rest of the time. A solutions architect must optimize the costs of the cluster without negatively impacting the time it takes to run the various jobs.
What is the MOST cost-effective solution that meets these requirements?

A. Purchase Reserved Instances for the master node and core nodes. Terminate all existing task nodes in the EMR cluster.
B. Modify the EMR cluster by turning on automatic scaling of the core nodes and task nodes with a custom policy that is based on cluster utilization. Purchase Reserved Instance capacity to cover the master node.
C. Modify the EMR cluster to use an instance fleet of Dedicated On-Demand Instances for the master node and core nodes, and to use Spot Instances for the task nodes. Define target capacity for each node type to cover the load.
D. Modify the EMR cluster to use capacity-optimized Spot Instances and a diversified task fleet.
Define target capacity for each node type with a mix of On-Demand Instances and Spot Instances.

正解：B

解説：
https://docs.aws.amazon.com/emr/latest/ManagementGuide/emr-automatic-scaling.html

質問 # 748
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