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Free SAP-C01 Exam Braindumps (page: 57)

Page 57 of 134
PDF with 529 Questions

A company provides auction services for artwork and has users across North America and Europe. The company hosts its application in Amazon EC2 instances in the us-east-1 Region. Artists upload photos of their work as large-size. high-resolution image files from their mobile phones to a centralized Amazon S3 bucket created in the us-east-1 Region. The users in Europe are reporting slow performance for their image uploads.

How can a solutions architect improve the performance of the image upload process?

  1. Redeploy the application to use S3 multipart uploads.
  2. Create an Amazon CloudFront distribution and point to the application as a custom origin.
  3. Configure the buckets to use S3 Transfer Acceleration.
  4. Create an Auto Scaling group for the EC2 instances and create a scaling policy.

Answer(s): C

Explanation:

C) S3 Transfer Acceleration improves upload performance by using Amazon CloudFront edge locations to speed up uploads to an S3 bucket. It is especially useful for large files and users who are geographically distant from the bucket's region. This solution reduces latency and speeds up the upload process for users in Europe, addressing the performance issue.



A company wants to containerize a multi-tier web application and move the application from an on-premises data center to AWS. The application includes web. application, and database tiers. The company needs to make the application fault tolerant and scalable. Some frequently accessed data must always be available across application servers. Frontend web servers need session persistence and must scale to meet increases in traffic.

Which solution will meet these requirements with the LEAST ongoing operational overhead?

  1. Run the application on Amazon Elastic Container Service (Amazon ECS) on AWS Fargate. Use Amazon Elastic File System (Amazon EFS) for data that is frequently accessed between the web and application tiers. Store the frontend web server session data in Amazon Simple Queue Service (Amazon SQS).
  2. Run the application on Amazon Elastic Container Service (Amazon ECS) on Amazon EC2. Use Amazon ElastiCache for Redis to cache frontend web server session data. Use Amazon Elastic Block Store (Amazon EBS) with Multi-Attach on EC2 instances that are distributed across multiple Availability Zones.
  3. Run the application on Amazon Elastic Kubernetes Service (Amazon EKS). Configure Amazon EKS to use managed node groups. Use ReplicaSets to run the web servers and applications. Create an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system across all EKS pods to store frontend web server session data.
  4. Deploy the application on Amazon Elastic Kubernetes Service (Amazon EKS). Configure Amazon EKS to use managed node groups. Run the web servers and application as Kubernetes deployments in the EKS cluster. Store the frontend web server session data in an Amazon DynamoDB table. Create an Amazon Elastic File System (Amazon EFS) volume that all applications will mount at the time of deployment.

Answer(s): D

Explanation:

D) Running the application on Amazon EKS with managed node groups reduces operational overhead because AWS handles node management. Using Kubernetes deployments ensures scalability and fault tolerance. Storing session data in Amazon DynamoDB provides high availability and durability for session persistence. Additionally, using Amazon EFS to share frequently accessed data across all application tiers ensures that the application remains scalable and highly available, meeting the requirements with minimal ongoing management.



A solutions architect is planning to migrate critical Microsoft SQL Server databases to AWS. Because the databases are legacy systems, the solutions architect will move the databases to a modern data architecture. The solutions architect must migrate the databases with near-zero downtime.

Which solution will meet these requirements?

  1. Use AWS Application Migration Service and the AWS Schema Conversion Tool (AWS SCT). Perform an in-place upgrade before the migration. Export the migrated data to Amazon Aurora Serverless after cutover. Repoint the applications to Amazon Aurora.
  2. Use AWS Database Migration Service (AWS DMS) to rehost the database. Set Amazon S3 as a target. Set up change data capture (CDC) replication. When the source and destination are fully synchronized, load the data from Amazon S3 into an Amazon RDS for Microsoft SQL Server DB instance.
  3. Use native database high availability tools. Connect the source system to an Amazon RDS for Microsoft SQL Server DB instance. Configure replication accordingly. When data replication is finished, transition the workload to an Amazon RDS for Microsoft SQL Server DB instance.
  4. Use AWS Application Migration Service. Rehost the database server on Amazon EC2. When data replication is finished, detach the database and move the database to an Amazon RDS for Microsoft SQL Server DB instance. Reattach the database and then cut over all networking.

Answer(s): C

Explanation:

C) Using native database high availability tools and connecting the source system to Amazon RDS for Microsoft SQL Server allows for replication without much downtime. After the replication is complete, transitioning the workload to the RDS instance minimizes downtime and ensures a smooth migration with near-zero interruption. This approach meets the requirement of near-zero downtime while using familiar high availability features for SQL Server.



A company's solutions architect is analyzing costs of a multi-application environment. The environment is deployed across multiple Availability Zones in a single AWS Region. After a recent acquisition, the company manages two organizations in AWS Organizations. The company has created multiple service provider applications as AWS PrivateLink-powered VPC endpoint services in one organization. The company has created multiple service consumer applications in the other organization.

Data transfer charges are much higher than the company expected, and the solutions architect needs to reduce the costs. The solutions architect must recommend guidelines for developers to follow when they deploy services. These guidelines must minimize data transfer charges for the whole environment.

Which guidelines meet these requirements? (Choose two.)

  1. Use AWS Resource Access Manager to share the subnets that host the service provider applications with other accounts in the organization.
  2. Place the service provider applications and the service consumer applications in AWS accounts in the same organization.
  3. Turn off cross-zone load balancing for the Network Load Balancer in all service provider application deployments.
  4. Ensure that service consumer compute resources use the Availability Zone-specific endpoint service by using the endpoint's local DNS name.
  5. Create a Savings Plan that provides adequate coverage for the organization's planned inter-Availability Zone data transfer usage.

Answer(s): A,B

Explanation:

A) Using AWS Resource Access Manager to share subnets across accounts in the organization can reduce inter-Availability Zone data transfer by allowing shared access to the same resources, minimizing cross-AZ traffic and associated costs.
D) Ensuring that service consumer compute resources use the Availability Zone-specific endpoint by leveraging the endpoint’s local DNS name ensures that traffic stays within the same Availability Zone, reducing cross-AZ data transfer charges, which are typically higher.
These guidelines effectively minimize data transfer charges across the environment.



Page 57 of 134



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