Amazon Web Services exams4sure complete Saa-c03 Materials by Mara q120 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Associate (SAA-C03)
Exam Code:	SAA-C03 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Associate
Questions:	649 Q&A's	Shared By:	mara

Question 104

A company is building a serverless web application that will serve customers globally by using REST API endpoints. The application must minimize latency regardless of the application us-er's geographic location. The initial amount of traffic that the application will handle is un-known.

Options:

Deploy an Amazon API Gateway REST API with edge-optimized API endpoints for all cus-tomers. Create AWS Lambda functions. Optimize Lambda performance by adjusting the memory settings and configuring provisioned concurrency.

Deploy an Amazon API Gateway REST API with Regional API endpoints for all customers. Create AWS Lambda functions. Optimize Lambda performance by adjusting the memory set-tings and configuring reserved concurrency.

Deploy an Amazon API Gateway REST API with Regional API endpoints for all customers. Create AWS Lambda functions. Use an HTTP integration to optimize Lambda performance.

Deploy a Network Load Balancer in each AWS Region where customers are located. Create AWS Lambda functions. Optimize Lambda performance by adjusting the memory settings and configuring provisioned concurrency.

Discussion

Question 105

Question:

A company wants to migrate an application that uses a microservice architecture to AWS. The services currently run on Docker containers on-premises. The application has an event-driven architecture that uses Apache Kafka. The company configured Kafka to use multiple queues to send and receive messages. Some messages must be processed by multiple services. Which solution will meet these requirements with the LEAST management overhead?

Options:

Options:

Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type. Deploy a Kafka cluster on EC2 instances to handle service-to-service communication.

Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Create multiple Amazon Simple Queue Service (Amazon SQS) queues to handle service-to-service communication.

Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the AWS Fargate launch type. Deploy an Amazon Managed Streaming for Apache Kafka (Amazon MSK) cluster to handle service-to-service communication.

Migrate the services to Amazon Elastic Container Service (Amazon ECS) with the Amazon EC2 launch type. Use Amazon EventBridge to handle service-to-service communication.

Discussion

Question 106

A company plans to store sensitive user data on Amazon S3. Internal security compliance requirements mandate encryption of data before sending it to Amazon S3.

What should a solutions architect recommend to satisfy these requirements?

Options:

Server-side encryption with customer-provided encryption keys

Client-side encryption with Amazon S3 managed encryption keys

Server-side encryption with keys stored in AWS Key Management Service (AWS KMS)

Client-side encryption with a key stored in AWS Key Management Service (AWS KMS)

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Question 107

A gaming company is developing a game that requires significant compute resources to process game logic, player interactions, and real-time updates. The company needs a compute solution that can dynamically scale based on fluctuating player demand while maintaining high performance. The company must use a relational database that can run complex queries.

Options:

Deploy Amazon EC2 instances to supply compute capacity. Configure Auto Scaling groups to achieve dynamic scaling based on player count. Use Amazon RDS for MySQL as the database.

Refactor the game logic into small, stateless functions. Use AWS Lambda to process the game logic. Use Amazon DynamoDB as the database.

Deploy an Amazon Elastic Container Service (Amazon ECS) cluster on AWS Fargate to supply compute capacity. Scale the ECS tasks based on player demand. Use Amazon Aurora Serverless v2 as the database.

Use AWS ParallelCluster for high performance computing (HPC). Provision compute nodes that have GPU instances to process the game logic and player interactions. Use Amazon RDS for MySQL as the database.