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NEW QUESTION 43
A Solutions Architect is designing a monitoring application which generates audit logs of all operational activities of the company's cloud infrastructure. Their IT Security and Compliance team mandates that the application retain the logs for 5 years before the data can be deleted.
How can the Architect meet the above requirement?

• A. Store the audit logs in an EBS volume and then take EBS snapshots every month.
• B. Store the audit logs in an Amazon S3 bucket and enable Multi-Factor Authentication Delete (MFA Delete) on the S3 bucket.
• C. Store the audit logs in an EFS volume and use Network File System version 4 (NFSv4) file-locking mechanism.
• D. Store the audit logs in a Glacier vault and use the Vault Lock feature.

Answer: D

Explanation:
An Amazon S3 Glacier (Glacier) vault can have one resource-based vault access policy and one Vault Lock policy attached to it. A Vault Lock policy is a vault access policy that you can lock. Using a Vault Lock policy can help you enforce regulatory and compliance requirements. Amazon S3 Glacier provides a set of API operations for you to manage the Vault Lock policies.

As an example of a Vault Lock policy, suppose that you are required to retain archives for one year before you can delete them. To implement this requirement, you can create a Vault Lock policy that denies users permissions to delete an archive until the archive has existed for one year. You can test this policy before locking it down. After you lock the policy, the policy becomes immutable. For more information about the locking process, see Amazon S3 Glacier Vault Lock. If you want to manage other user permissions that can be changed, you can use the vault access policy Amazon S3 Glacier supports the following archive operations: Upload, Download, and Delete. Archives are immutable and cannot be modified. Hence, the correct answer is to store the audit logs in a Glacier vault and use the Vault Lock feature.
Storing the audit logs in an EBS volume and then taking EBS snapshots every month is incorrect because this is not a suitable and secure solution. Anyone who has access to the EBS Volume can simply delete and modify the audit logs. Snapshots can be deleted too.
Storing the audit logs in an Amazon S3 bucket and enabling Multi-Factor Authentication Delete (MFA Delete) on the S3 bucket is incorrect because this would still not meet the requirement. If someone has access to the S3 bucket and also has the proper MFA privileges then the audit logs can be edited.
Storing the audit logs in an EFS volume and using Network File System version 4 (NFSv4) file-locking mechanism is incorrect because the data integrity of the audit logs can still be compromised if it is stored in an EFS volume with Network File System version 4 (NFSv4) file-locking mechanism and hence, not suitable as storage for the files. Although it will provide some sort of security, the file lock can still be overridden and the audit logs might be edited by someone else. References:
https://docs.aws.amazon.com/amazonglacier/latest/dev/vault-lock.html
https://docs.aws.amazon.com/amazonglacier/latest/dev/vault-lock-policy.html
https://aws.amazon.com/blogs/aws/glacier-vault-lock/ Amazon S3 and S3 Glacier Overview:
https://www.youtube.com/watch?v=1ymyeN2tki4
Check out this Amazon S3 Glacier Cheat Sheet:
https://tutorialsdojo.com/amazon-glacier/

NEW QUESTION 44
A web application requires a minimum of six Amazon Elastic Compute Cloud (EC2) instances running at all times. You are tasked to deploy the application to three availability zones in the EU Ireland region (eu-west-1a, eu-west-1b, and eu-west-1c). It is required that the system is fault-tolerant up to the loss of one Availability Zone.
Which of the following setup is the most cost-effective solution which also maintains the fault-tolerance of your system?

• A. 3 instances in eu-west-1a, 3 instances in eu-west-1b, and 3 instances in eu-west-1c
• B. 6 instances in eu-west-1a, 6 instances in eu-west-1b, and no instances in eu-west-1c
• C. 2 instances in eu-west-1a, 2 instances in eu-west-1b, and 2 instances in eu-west-1c
• D. 6 instances in eu-west-1a, 6 instances in eu-west-1b, and 6 instances in eu-west-1c

Answer: A

Explanation:
Basically, fault-tolerance is the ability of a system to remain in operation even in the event that some of its components fail, without any service degradation. In AWS, it can also refer to the minimum number of running EC2 instances or resources which should be running at all times in order for the system to properly operate and serve its consumers. Take note that this is quite different from the concept of High Availability, which is just concerned with having at least one running instance or resource in case of failure.

In this scenario, 3 instances in eu-west-1a, 3 instances in eu-west-1b, and 3 instances in eu-west-1c is the correct answer because even if there was an outage in one of the Availability Zones, the system still satisfies the requirement of having a minimum of 6 running instances. It is also the most cost-effective solution among other options.
The option that says: 6 instances in eu-west-1a, 6 instances in eu-west-1b, and 6 instances in eu-west-1 is incorrect because although this solution provides the maximum fault-tolerance for the system, it entails a significant cost to maintain a total of 18 instances across 3 AZs.
The option that says: 2 instances in eu-west-1a, 2 instances in eu-west-1b, and 2 instances in eu-west-1 is incorrect because if one Availability Zone goes down, there will only be 4 running instances available. Although this is the most cost-effective solution, it does not provide fault-tolerance.
The option that says: 6 instances in eu-west-1a, 6 instances in eu-west-1b, and no instances in eu- west-1c is incorrect because although it provides fault-tolerance, it is not the most cost-effective solution as compared with the options above. This solution has 12 running instances, unlike the correct answer which only has 9 instances.
References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-increase-availability.html
https://media.amazonwebservices.com/AWS_Building_Fault_Tolerant_Applications.pdf

NEW QUESTION 45
A solutions architect is designing the cloud architecture for a new application being deployed on AWS. The process should run in parallel while adding and removing application nodes as needed based on the number of jobs to be processed. The processor application is stateless. The solutions architect must ensure that the application is loosely coupled and the job items are durably stored.
Which design should the solutions architect use?

• A. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of messages published to the SNS topic
• B. Create an Amazon SNS topic to send the jobs that need to be processed Create an Amazon Machine Image (AMI) that consists of the processor application Create a launch configuration that uses the AMI Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on CPU usage
• C. Create an Amazon SQS queue to hold the jobs that need to be processed Create an Amazon Machine image (AMI) that consists of the processor application Create a launch configuration that uses the AM' Create an Auto Scaling group using the launch configuration Set the scaling policy for the Auto Scaling group to add and remove nodes based on network usage
• D. Create an Amazon SQS queue to hold the jobs that needs to be processed Create an Amazon Machine image (AMI) that consists of the processor application Create a launch template that uses the AMI Create an Auto Scaling group using the launch template Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue

Answer: D

Explanation:
"Create an Amazon SQS queue to hold the jobs that needs to be processed. Create an Amazon EC2 Auto Scaling group for the compute application. Set the scaling policy for the Auto Scaling group to add and remove nodes based on the number of items in the SQS queue" In this case we need to find a durable and loosely coupled solution for storing jobs. Amazon SQS is ideal for this use case and can be configured to use dynamic scaling based on the number of jobs waiting in the queue.To configure this scaling you can use the backlog per instance metric with the target value being the acceptable backlog per instance to maintain. You can calculate these numbers as follows: Backlog per instance: To calculate your backlog per instance, start with the ApproximateNumberOfMessages queue attribute to determine the length of the SQS queue

NEW QUESTION 46
A Solutions Architect is managing a three-tier web application that processes credit card payments and online transactions. Static web pages are used on the front-end tier while the application tier contains a single Amazon EC2 instance that handles long-running processes. The data is stored in a MySQL database. The Solutions Architect is instructed to decouple the tiers to create a highly available application.
Which of the following options can satisfy the given requirement?

• A. Move all the static assets and web pages to Amazon CloudFront. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon RDS with Multi-AZ deployments configuration.
• B. Move all the static assets to Amazon S3. Set concurrency limit in AWS Lambda to move the application to a serverless architecture. Migrate the database to Amazon DynamoDB.
• C. Move all the static assets and web pages to Amazon S3. Re-host the application to Amazon Elastic Container Service (Amazon ECS) containers and enable Service Auto Scaling. Migrate the database to Amazon RDS with Multi-AZ deployments configuration.
• D. Move all the static assets, web pages, and the backend application to a larger instance. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon Aurora.

Answer: C

Explanation:
Amazon Elastic Container Service (ECS) is a highly scalable, high performance container management service that supports Docker containers and allows you to easily run applications on a managed cluster of Amazon EC2 instances. Amazon ECS makes it easy to use containers as a building block for your applications by eliminating the need for you to install, operate, and scale your own cluster management infrastructure. Amazon ECS lets you schedule long-running applications, services, and batch processes using Docker containers. Amazon ECS maintains application availability and allows you to scale your containers up or down to meet your application's capacity requirements.


The requirement in the scenario is to decouple the services to achieve a highly available architecture. To accomplish this requirement, you must move the existing set up to each AWS services. For static assets, you should use Amazon S3. You can use Amazon ECS for your web application and then migrate the database to Amazon RDS with Multi-AZ deployment. Decoupling your app with application integration services allows them to remain interoperable, but if one service has a failure or spike in workload, it won't affect the rest of them.
Hence, the correct answer is: Move all the static assets and web pages to Amazon S3. Re-host the application to Amazon Elastic Container Service (Amazon ECS) containers and enable Service Auto Scaling. Migrate the database to Amazon RDS with Multi-AZ deployments configuration.
The option that says: Move all the static assets to Amazon S3. Set concurrency limit in AWS Lambda to move the application to a serverless architecture. Migrate the database to Amazon DynamoDB is incorrect because Lambda functions can't process long-running processes. Take note that a Lambda function has a maximum processing time of 15 minutes.
The option that says: Move all the static assets, web pages, and the backend application to a larger instance. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon Aurora is incorrect because static assets are more suitable and cost-effective to be stored in S3 instead of storing them in an EC2 instance.
The option that says: Move all the static assets and web pages to Amazon CloudFront. Use Auto Scaling in Amazon EC2 instance. Migrate the database to Amazon RDS with Multi-AZ deployments configuration is incorrect because you can't store data in Amazon CloudFront. Technically, you only store cache data in CloudFront, but you can't host applications or web pages using this service. You have to use Amazon S3 to host the static web pages and use CloudFront as the CDN. References:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/service-auto-scaling.html
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Concepts.MultiAZ.html Check out this Amazon ECS Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-container-service-amazon-ecs/

NEW QUESTION 47
A company launched a cryptocurrency mining server on a Reserved EC2 instance in us-east-1 region's private subnet that uses IPv6. Due to the financial data that the server contains, the system should be secured to prevent any unauthorized access and to meet the regulatory compliance requirements.
In this scenario, which VPC feature allows the EC2 instance to communicate to the Internet but prevents inbound traffic?

• A. NAT instances
• B. NAT Gateway
• C. Egress-only Internet gateway
• D. Internet Gateway

Answer: C

Explanation:
An egress-only Internet gateway is a horizontally scaled, redundant, and highly available VPC component that allows outbound communication over IPv6 from instances in your VPC to the Internet, and prevents the Internet from initiating an IPv6 connection with your instances.
Take note that an egress-only Internet gateway is for use with IPv6 traffic only. To enable outbound-only Internet communication over IPv4, use a NAT gateway instead.



Hence, the correct answer is: Egress-only Internet gateway.
NAT Gateway and NAT instances are incorrect because these are only applicable for IPv4 and not IPv6.
Even though these two components can enable the EC2 instance in a private subnet to communicate to the Internet and prevent inbound traffic, it is only limited to instances which are using IPv4 addresses and not IPv6. The most suitable VPC component to use is the egress-only Internet gateway.
Internet Gateway is incorrect because this is primarily used to provide Internet access to your instances in the public subnet of your VPC, and not for private subnets. However, with an Internet gateway, traffic originating from the public Internet will also be able to reach your instances. The scenario is asking you to prevent inbound access, so this is not the correct answer.
Reference:
https://docs.aws.amazon.com/vpc/latest/userguide/egress-only-internet-gateway.html Amazon VPC Overview:
https://www.youtube.com/watch?v=oIDHKeNxvQQ
Check out this Amazon VPC Cheat Sheet:
https://tutorialsdojo.com/amazon-vpc/

NEW QUESTION 48
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