Question 1

A company uses computer simulations for modeling weather patterns in a certain country. The simulations generate terabytes of data, which is stored in a MySQL 5.6 database that runs in an Amazon EC2 instance. A Ruby on Rails application is hosted on a separate EC2 instance to process the data. The current database size is 16 TiB and is expected to grow as more complex simulations are created continuously. The facility wants to re-architect its infrastructure to be highly scalable and highly available as they need to run the application reliably 24x7.

Which of the following is the MOST cost-effective solution that can satisfy the above requirements?

Options :

A : Configure your application tier to run on an Auto Scaling group of smaller sized EC2 instances behind an Application Load Balancer. Purchase Reserved EC2 instances for fixed capacity and let the Auto Scaling instances run on demand. Migrate the MySQL database to Amazon Aurora. Create a read-replica on another Availability Zone of the Aurora instance for high availability

B : Purchase Reserved Amazon EC2 instances for the application instance and database instances to save costs. Create an EC2 Auto Scaling group with Multi-AZ configuration behind a load balancer for the application tier. Implement a master-slave setup for your database tier. Use Logical Volume Management on the database instances to easily attach new EBS volumes and expand the file system.

C : Configure your application tier to run on an Auto Scaling group of smaller sized EC2 instances behind an Application Load Balancer. Purchase reserved EC2 instances for fixed capacity and let the Auto Scaling instances run on demand. Migrate the MySQL database to an Amazon RDS MySQL instance with Multi-AZ enabled. Adjust the RDS Storage volume manually as demand increases.

D : Convert the application tier to Lambda@Edge functions for high availability, scalability, and cost-effectiveness. Migrate the MySQL database to an Amazon RDS MySQL instance with Multi-AZ enabled. Enable storage autoscaling on the RDS instance.

Answer: A

Question 2

A company is planning to store a large number of archived documents and make the documents available to

employees through the corporate intranet. Employees will access the system by connecting through a client

VPN service that is attached to a VPC. The data must not be accessible to the public.

The documents that the company is storing are copies of data that is held on physical media elsewhere. The

number of requests will be low. Availability and speed of retrieval are not concerns of the company.

Which solution will meet these requirements at the LOWEST cost?

Options :

A :

Create an Amazon S3 bucket. Configure the S3 bucket to use the S3 One Zone-Infrequent Access (S3

One Zone-IA) storage class as default. Configure the S3 bucket for website hosting. Create an S3

interface endpoint. Configure the S3 bucket to allow access only through that endpoint.

B :

Launch an Amazon EC2 instance that runs a web server. Attach an Amazon Elastic File System

(Amazon EFS) file system to store the archived data in the EFS One Zone-Infrequent Access (EFS One

Zone-IA) storage class Configure the instance security groups to allow access only from private

networks.

C :

Launch an Amazon EC2 instance that runs a web server Attach an Amazon Elastic Block Store

(Amazon EBS) volume to store the archived data. Use the Cold HDD (sc1) volume type. Configure the

instance security groups to allow access only from private networks.

D :

Create an Amazon S3 bucket. Configure the S3 bucket to use the S3 Glacier Deep Archive storage class

as default. Configure the S3 bucket for website hosting. Create an S3 interface endpoint. Configure the

S3 bucket to allow access only through that endpoint.

Answer: D

Question 3

A company is processing videos in the AWS Cloud by using Amazon EC2 instances in an Auto Scaling group.

It takes 30 minutes to process a video. Several EC2 instances scale in and out depending on the number of

videos in an Amazon Simple Queue Service (Amazon SQS) queue.

The company has configured the SQS queue with a redrive policy that specifies a target dead-letter queue and

a maxReceiveCount of 1. The company has set the visibility timeout for the SQS queue to 1 hour. The

company has set up an Amazon CloudWatch alarm to notify the development team when there are messages in

the dead-letter queue.

Several times during the day, the development team receives notification that messages are in the dead-letter

queue and that videos have not been processed properly. An investigation finds no errors in the application

logs.

How can the company solve this problem?

Options :

A : Turn on termination protection for the EC2 instances.

B : Update the visibility timeout for the SOS queue to 3 hours.

C : Configure scale-in protection for the instances during processing.

D : Update the redrive policy and set maxReceiveCount to 0.

Answer: B

Question 4

A company is using Amazon API Gateway to deploy a private REST API that will provide access to sensitive data. The API must be accessible only from an application that is deployed in a VPC. The company deploys the API successfully. However, the API is not accessible from an Amazon EC2 instance that is deployed in the VPC. Which solution will provide connectivity between the EC2 instance and the API?

Options :

A :

Create an interface VPC endpoint for API Gateway. Attach an endpoint policy that allows apigateway:* actions. Disable private DNS naming for the VPC endpoint. Configure an API resource policy that allows access from the VPC. Use the VPC endpoint-s DNS name to access the API.

B :

Create an interface VPC endpoint for API Gateway. Attach an endpoint policy that allows the execute-api:lnvoke action. Enable private DNS naming for the VPC endpoint. Configure an API resource policy that allows access from the VPC endpoint. Use the API endpoint-s DNS names to access the API. Most Voted

C :

Create a Network Load Balancer (NLB) and a VPC link. Configure private integration between API Gateway and the NLB. Use the API endpoint-s DNS names to access the API.

D :

Create an Application Load Balancer (ALB) and a VPC Link. Configure private integration between API Gateway and the ALB. Use the ALB endpoint-s DNS name to access the API.

Answer: B

Question 5

A company is using an Amazon EMR cluster to run its big data jobs The cluster's jobs are invoked by AWS

Step Functions Express Workflows that consume various Amazon Simple Queue Service (Amazon SQS)

queues The workload of this solution is variable and unpredictable Amazon CloudWatch metrics show that the

cluster's peak utilization is only 25% at times and that the cluster sits idle the rest of the time

A solutions architect must optimize the costs of the cluster without negatively impacting the time it takes to

run the various jobs

What is the MOST cost-effective solution that meets these requirements?

Options :

A :

Modify the EMR cluster by turning on automatic scaling of the core nodes and task nodes with a custom

policy that is based on cluster utilization Purchase Reserved Instance capacity to cover the master node.

B :

Modify the EMR cluster to use an instance fleet of Dedicated On-Demand Instances for the master node

and core nodes, and to use Spot Instances for the task nodes. Define target capacity for each node type to

cover the load.

C :

Purchase Reserved Instances for the master node and core nodes Terminate all existing task nodes in the

EMR cluster

D :

Modify the EMR cluster to use capacity-optimized Spot Instances and a diversified task fleet. Define

target capacity for each node type with a mix of On-Demand Instances and Spot Instances.

Answer: B

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