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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Continuous improvement for existing solutions	25%
Topic 2: Accelerate workload migration and modernization	20%
Topic 3: Design solutions for organizational complexity	26%
Topic 4: Design for new solutions	29%

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최신 AWS Certified Solutions Architect SAP-C02 무료샘플문제 (Q135-Q140):

질문 # 135
A financial services company in North America plans to release a new online web application to its customers on AWS . The company will launch the application in the us-east-1 Region on Amazon EC2 instances. The application must be highly available and must dynamically scale to meet user traffic. The company also wants to implement a disaster recovery environment for the application in the us-west-1 Region by using active-passive failover.
Which solution will meet these requirements?

A. Create a VPC in us-east-1 and a VPC in us-west-1 In the us-east-1 VPC. create an Application Load Balancer (ALB) that extends across multiple Availability Zones in that VPC Create an Auto Scaling group that deploys the EC2 instances across the multiple Availability Zones in the us-east-1 VPC Place the Auto Scaling group behind the ALB Set up the same configuration in the us-west-1 VPC Create an Amazon Route 53 hosted zone. Create separate records for each ALB Enable health checks and configure a failover routing policy for each record.
B. Create a VPC in us-east-1 and a VPC in us-west-1 Configure VPC peering In the us-east-1 VPC. create an Application Load Balancer (ALB) that extends across multiple Availability Zones in both VPCs Create an Auto Scaling group that deploys the EC2 instances across the multiple Availability Zones in both VPCs Place the Auto Scaling group behind the ALB.
C. Create a VPC in us-east-1 and a VPC in us-west-1. In the us-east-1 VPC. create an Application Load Balancer (ALB) that extends across multiple Availability Zones in that VPC. Create an Auto Scaling group that deploys the EC2 instances across the multiple Availability Zones in the us-east-1 VPC Place the Auto Scaling group behind the ALB Set up the same configuration in the us-west-1 VPC. Create an Amazon Route 53 hosted zone Create separate records for each ALB Enable health checks to ensure high availability between Regions.
D. Create a VPC in us-east-1 and a VPC in us-west-1 Configure VPC peering In the us-east-1 VPC. create an Application Load Balancer (ALB) that extends across multiple Availability Zones in Create an Auto Scaling group that deploys the EC2 instances across the multiple Availability Zones in both VPCs Place the Auto Scaling group behind the ALB Create an Amazon Route 53 host.. Create a record for the ALB.

정답：A

설명：
Explanation
This solution meets the requirement of high availability and dynamic scaling by creating an Application Load Balancer (ALB) that spans multiple availability zones in both us-east-1 and us-west-1 regions. This ensures that traffic is distributed across multiple instances in different availability zones, providing redundancy in case of an instance failure. The Auto Scaling group ensures that additional instances are added or removed based on user traffic. The disaster recovery environment is achieved by creating an active-passive failover setup with Amazon Route 53. You can create separate records for each ALB and enable health checks to ensure high availability between regions. You can also configure a failover routing policy for each record, so that traffic is automatically routed to the secondary region in case of a failure in the primary region.
References:
* https://aws.amazon.com/route53/
* https://aws.amazon.com/route53/health-checks/
* https://aws.amazon.com/route53/routing-policy/
* https://aws.amazon.com/elasticloadbalancing/
* https://aws.amazon.com/autoscaling/

질문 # 136
A financial company is building a system to generate monthly, immutable bank account statements for its users. Statements are stored in Amazon S3. Users should have immediate access to their monthly statements for up to 2 years. Some users access their statements frequently, whereas others rarely access their statements. The company's security and compliance policy requires that the statements be retained for at least 7 years.
What is the MOST cost-effective solution to meet the company's needs?

A. Create an S3 bucket with versioning enabled. Store statements in S3 Intelligent-Tiering. Use same-Region replication to replicate objects to a backup S3 bucket. Define an S3 Lifecycle policy for the backup S3 bucket to move the data to S3 Glacier. Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old.
B. Create an S3 bucket with Object Lock enabled. Store statements in S3 Intelligent-Tiering. Enable compliance mode with a default retention period of 2 years. Define an S3 Lifecycle policy to move the data to S3 Glacier after 2 years. Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old.
C. Create an S3 bucket with Object Lock disabled. Store statements in S3 Standard. Define an S3 Lifecycle policy to transition the data to S3 Standard-Infrequent Access (S3 Standard-IA) after 30 days. Define another S3 Lifecycle policy to move the data to S3 Glacier Deep Archive after 2 years. Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old.
D. Create an S3 bucket with versioning disabled. Store statements in S3 One Zone-Infrequent Access (S3 One Zone-IA). Define an S3 Lifecyde policy to move the data to S3 Glacier Deep Archive after 2 years. Attach an S3 Glader Vault Lock policy with deny delete permissions for archives less than 7 years old.

정답：B

설명：
https://aws.amazon.com/about-aws/whats-new/2018/11/s3-object-lock/
Create an S3 bucket with Object Lock enabled. Store statements in S3 Intelligent-Tiering. Enable compliance mode with a default retention period of 2 years. Define an S3 Lifecycle policy to move the data to S3 Glacier after 2 years. Attach an S3 Glacier Vault Lock policy with deny delete permissions for archives less than 7 years old.
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock-overview.html

질문 # 137
A company is planning to migrate an appl cat on from on premises lo the AWS Cloud.
The company will begin the migration by moving the application s underlying data storage to AWS.
The application data is stored on a shared file system on premises, and the application servers connect to the shared file system through SMB.
A solutions architect must implement a solution that uses an Amazon S3 bucket for shared storage.
Until the application is fully m grated and code s rewritten to use native Amazon S3 APIs. the application must continue to have access to the data through SMB.
The solutions architect must migrate the application data to AWS to its new location while still allowing the on-premises application to access the data.
Which solution will meet these requirements?

A. Create an S3 bucket for the application.
Deploy a now AWS Storage Gateway file gateway on an on-premises VM.
Create a now file share that stores data in the S3 bucket and is associated with the file gateway.
Copy tie data from the on-premises storage to the new file gateway endpoint.
B. Create a new Amazon FSx for Windows File Server fie system.
Configure AWS DataSync with ore location for the on-premises file share and are location for the new Amazon FSx file system.
Create a new DataSync task to copy the data from the on-premises file share location to the Amazon FSx file system.
C. Deploy an AWS Server Migration Service (AWS SMS) VM to the on-premises environment.
Use AWS SMS to migrate the fie storage sender from on premises to an Amazon EC2 instance.
D. Create an S3 bucket for the application.
Copy the data from the on-promises storage to the S3 bucket.

정답：A

설명：
File Gateway appliance is a virtual machine to bridge between your NFS and S3.

질문 # 138
A company migrated an application to the AWS Cloud. The application runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). Application data is stored in a MySQL database that runs on an additional EC2 instance. The application's use of the database is read-heavy.
The loads static content from Amazon Elastic Block Store (Amazon EBS) volumes that are attached to each EC2 instance. The static content is updated frequently and must be copied to each EBS volume.
The load on the application changes throughout the day. During peak hours, the application cannot handle all the incoming requests. Trace data shows that the database cannot handle the read load during peak hours.
Which solution will improve the reliability of the application?

A. Migrate the application to a set of AWS Step Functions state machines. Set the state machines as targets for the ALB. Create an Amazon Elastic File System (Amazon EFS) file system for the static content.
Configure the state machines to read from the EFS file system. Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.
B. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) Cluster. Use the AWS Fargate launch type for the tasks that host the application. Create a new single EBS volume the static content. Mount the new EBS volume on the ECS duster. Configure AWS Application Auto Scaling on ECS cluster. Set the ECS service as a target for the ALB. Migrate the database to an Amazon RDS for MySOL Multi-AZ DB cluster.
C. Migrate the application to a set of AWS Lambda functions. Set the Lambda functions as targets for the ALB. Create a new single EBS volume for the static content. Configure the Lambda functions to read from the new EBS volume. Migrate the database to an Amazon RDS for MySQL Multi-AZ DB cluster.
D. Containerize the application. Migrate the application to an Amazon Elastic Container Service (Amazon ECS) cluster. Use the AWS Fargate launch type for the tasks that host the application. Create an Amazon Elastic File System (Amazon EFS) file system for the static content. Mount the EFS file system to each container. Configure AWS Application Auto Scaling on the ECS cluster Set the ECS service as a target for the ALB. Migrate the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance.

정답：D

설명：
This solution will improve the reliability of the application by addressing the issues of scalability, availability, and performance. Containerizing the application will make it easier to deploy and manage on AWS. Migrating the application to an Amazon ECS cluster will allow the application to run on a fully managed container orchestration service. Using the AWS Fargate launch type for the tasks that host the application will enable the application to run on serverless compute engines that are automatically provisioned and scaled by AWS.
Creating an Amazon EFS file system for the static content will provide a scalable and shared storage solution that can be accessed by multiple containers. Mounting the EFS file system to each container will eliminate the need to copy the static content to each EBS volume and ensure that the content is always up to date.
Configuring AWS Application Auto Scaling on the ECS cluster will enable the application to scale up and down based on demand or a predefined schedule. Setting the ECS service as a target for the ALB will distribute the incoming requests across multiple tasks in the ECS cluster and improve the availability and fault tolerance of the application. Migrating the database to Amazon Aurora MySQL Serverless v2 with a reader DB instance will provide a fully managed, compatible, and scalable relational database service that can handle high throughput and concurrent connections. Using a reader DB instance will offload some of the read load from the primary DB instance and improve the performance of the database.

질문 # 139
A company is running an application in the AWS Cloud. The application runs on containers in an Amazon Elastic Container Service (Amazon ECS) cluster. The ECS tasks use the Fargate launch type. The application's data is relational and is stored in Amazon Aurora MySQL. To meet regulatory requirements, the application must be able to recover to a separate AWS Region in the event of an application failure. In case of a failure, no data can be lost. Which solution will meet these requirements with the LEAST amount of operational overhead?

A. Use Amazon Data Lifecycle Manager {Amazon DLM) to schedule a snapshot every 5 minutes.
B. Provision an Aurora Replica in a different Region.
C. Set up AWS Database Migration Service (AWS DMS) to perform a continuous replication of the data to a different Region.
D. Set up AWS DataSync for continuous replication of the data to a different Region.

정답：B

질문 # 140
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만약 시험만 응시하고 싶으시다면 우리의 최신Amazon SAP-C02자료로 시험 패스하실 수 있습니다. Fast2test 의 학습가이드에는Amazon SAP-C02인증시험의 예상문제, 시험문제와 답 임으로 100% 시험을 패스할 수 있습니다.우리의Amazon SAP-C02시험자료로 충분한 시험준비하시는것이 좋을것 같습니다. 그리고 우리는 일년무료 업데이트를 제공합니다.

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