Amazon Web Services exactexam sap-c02 Questions Bank by Shiloh q295 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Professional
Exam Code:	SAP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	625 Q&A's	Shared By:	shiloh

Question 172

Question:

A company is migrating a monolithic on-premises .NET Framework production application to AWS. Application demand will grow exponentially in the next 6 months. The company must ensure that the application can scale appropriately.

The application currently connects to a Microsoft SQL Server transactional database. The company has well-documented source code for the application. Some business logic is contained within stored procedures.

A solutions architect must recommend a solution to redesign the application to meet the growth in demand.

Which solution will meet this requirement MOST cost-effectively?

Options:

Use Amazon API Gateway APIs and Amazon EC2 Spot Instances to rehost the application with a scalable microservices architecture. Deploy the EC2 instances in a cluster placement group. Configure EC2 Auto Scaling. Store the data and stored procedures in Amazon RDS for SQL Server.

Use AWS Application Migration Service to migrate the application to AWS Elastic Beanstalk. Deploy Elastic Beanstalk packages to configure and deploy the application as microservices. Deploy Elastic Beanstalk across multiple Availability Zones and configure auto scaling. Store the data and stored procedures in Amazon RDS for MySQL.

Migrate the applications by using AWS App2Container. Use AWS Fargate in multiple AWS Regions to host the containers. Use Amazon API Gateway APIs and AWS Lambda functions to call the containers. Store the data and stored procedures in Amazon DynamoDB Accelerator (DAX).

Use Amazon API Gateway APIs and AWS Lambda functions to decouple the application into microservices. Use the AWS Schema Conversion Tool (AWS SCT) to review and modify the stored procedures. Store the data in Amazon Aurora Serverless v2.

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Question 173

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-l 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?

Options:

Redeploy the application to use S3 multipart uploads.

Create an Amazon CloudFront distribution and point to the application as a custom origin

Configure the buckets to use S3 Transfer Acceleration.

Create an Auto Scaling group for the EC2 instances and create a scaling policy.

Discussion

Question 174

Question:

A company is migrating a containerized Kubernetes app with manifest files to AWS. What is the easiest migration path?

Options:

App Runner + open-source repo

Amazon EKSwith managed node groups and Aurora

ECS on EC2 + task definitions

Rebuild Kubernetes cluster on EC2 manually

Discussion

Question 175

A company has migrated an application from on premises to AWS. The application frontend is a static website that runs on two Amazon EC2 instances behind an Application Load Balancer (ALB). The application backend is a Python application that runs on three EC2 instances behind another ALB. The EC2 instances are large, general purpose On-Demand Instances that were sized to meet the on-premises specifications for peak usage of the application.

The application averages hundreds of thousands of requests each month. However, the application is used mainly during lunchtime and receives minimal traffic during the rest of the day.

A solutions architect needs to optimize the infrastructure cost of the application without negatively affecting the application availability.

Which combination of steps will meet these requirements? (Choose two.)

Options:

Change all the EC2 instances to compute optimized instances that have the same number of cores as the existing EC2 instances.

Move the application frontend to a static website that is hosted on Amazon S3.

Deploy the application frontend by using AWS Elastic Beanstalk. Use the same instance type for the nodes.

Change all the backend EC2 instances to Spot Instances.

Deploy the backend Python application to general purpose burstable EC2 instances that have the same number of cores as the existing EC2 instances.