Amazon Web Services certification-questions online Saa-c03 Questions Video by Philip q241 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:	962 Q&A's	Shared By:	philip

Question 12

A company runs compute workloads across multiple private subnets across multiple VPCs. Sometimes the company opens shell access to Amazon EC2 instances in the private subnets to troubleshoot issues.

The current design uses NAT gateways. The company wants to reduce costs. However, the company does not support the following:

• Using public IP addresses

• Installing agents on instances

• Permitting inbound internet access

Which solution will meet these requirements MOST cost-effectively?

Options:

Create an EC2 Instance Connect Endpoint in each VPC. Grant IAM permissions for administrators to connect to instances by using SSH. Decommission all NAT gateways.

Use AWS Systems Manager Session Manager to connect to instances.

Deploy auto scaling bastion hosts behind a Network Load Balancer in each VPC. Restrict inbound access by source IP.

Create an AWS Client VPN configuration. Create routes across each VPC. Decommission all NAT gateways except one. Target the remaining NAT gateway for outbound traffic from all VPCs.

Discussion

Question 13

A company has an ecommerce application that users access through multiple mobile apps and web applications. The company needs a solution that will receive requests from the mobile apps and web applications through an API.

Request traffic volume varies significantly throughout each day. Traffic spikes during sales events. The solution must be loosely coupled and ensure that no requests are lost.

Options:

Create an Application Load Balancer (ALB). Create an AWS Elastic Beanstalk endpoint to process the requests. Add the Elastic Beanstalk endpoint to the target group of the ALB.

Set up an Amazon API Gateway REST API with an integration to an Amazon Simple Queue Service (Amazon SQS) queue. Configure a dead-letter queue. Create an AWS Lambda function to poll the queue to process the requests.

Create an Application Load Balancer (ALB). Create an AWS Lambda function to process the requests. Add the Lambda function as a target of the ALB.

Set up an Amazon API Gateway HTTP API with an integration to an Amazon Simple Notification Service (Amazon SNS) topic. Create an AWS Lambda function to process the requests. Subscribe the function to the SNS topic to process the requests.

Discussion

Question 14

Question:

An ecommerce company hosts an API that handles sales requests. The company hosts the API frontend on Amazon EC2 instances that run behind an Application Load Balancer (ALB). The company hosts the API backend on EC2 instances that perform the transactions. The backend tiers are loosely coupled by an Amazon Simple Queue Service (Amazon SQS) queue.

The company anticipates a significant increase in request volume during a new product launch event. The company wants to ensure that the API can handle increased loads successfully.

Options:

Options:

Double the number of frontend and backend EC2 instances to handle the increased traffic during the product launch event. Create a dead-letter queue to retain unprocessed sales requests when the demand exceeds the system capacity.

Place the frontend EC2 instances into an Auto Scaling group. Create an Auto Scaling policy to launch new instances to handle the incoming network traffic.

Place the frontend EC2 instances into an Auto Scaling group. Add an Amazon ElastiCache cluster in front of the ALB to reduce the amount of traffic the API needs to handle.

Place the frontend and backend EC2 instances into separate Auto Scaling groups. Create a policy for the frontend Auto Scaling group to launch instances based on incoming network traffic. Create a policy for the backend Auto Scaling group to launch instances based on the SQS queue backlog.

Discussion

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Question 15

A company manages an application that stores data on an Amazon RDS for PostgreSQL Multi-AZ DB instance. High traffic on the application is causing increased latency for many read queries.

A solutions architect must improve the performance of the application.

Which solution will meet this requirement?

Options:

Enable Amazon RDS Performance Insights. Configure storage capacity to scale automatically.

Configure the DB instance to use DynamoDB Accelerator (DAX).

Create a read replica of the DB instance. Serve read traffic from the read replica.

Use Amazon Data Firehose between the application and Amazon RDS to increase the concurrency of database requests.