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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam Sample Questions (Q281-Q286):

NEW QUESTION # 281
A company deployed a fleet of Windows-based EC2 instances with IPv4 addresses launched in a private subnet. Several software installed in the EC2 instances are required to be updated via the Internet.
Which of the following services can provide the firm a highly available solution to safely allow the instances to fetch the software patches from the Internet but prevent outside network from initiating a connection?

  • A. VPC Endpoint
  • B. NAT Instance
  • C. NAT Gateway
  • D. Egress-Only Internet Gateway

Answer: C

Explanation:
AWS offers two kinds of NAT devices - a NAT gateway or a NAT instance. It is recommended to use NAT gateways, as they provide better availability and bandwidth over NAT instances. The NAT Gateway service is also a managed service that does not require your administration efforts. A NAT instance is launched from a NAT AMI.
Just like a NAT instance, you can use a network address translation (NAT) gateway to enable instances in a private subnet to connect to the internet or other AWS services, but prevent the internet from initiating a connection with those instances.
Here is a diagram showing the differences between NAT gateway and NAT instance:

Egress-Only Internet Gateway is incorrect because this is primarily used for VPCs that use IPv6 to enable instances in a private subnet to connect to the Internet or other AWS services, but prevent the Internet from initiating a connection with those instances, just like what NAT Instance and NAT Gateway do. The scenario explicitly says that the EC2 instances are using IPv4 addresses which is why Egress- only Internet gateway is invalid, even though it can provide the required high availability.
VPC Endpoint is incorrect because this simply enables you to privately connect your VPC to supported AWS services and VPC endpoint services powered by PrivateLink without requiring an Internet gateway, NAT device, VPN connection, or AWS Direct Connect connection.
NAT Instance is incorrect because although this can also enable instances in a private subnet to connect to the Internet or other AWS services and prevent the Internet from initiating a connection with those instances, it is not as highly available compared to a NAT Gateway. References:
https://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/vpc-nat-gateway.html
https://docs.aws.amazon.com/vpc/latest/userguide/vpc-nat-comparison.html
https://docs.aws.amazon.com/vpc/latest/userguide/egress-only-internet-gateway.html Check out this Amazon VPC Cheat Sheet:
https://tutorialsdojo.com/amazon-vpc/


NEW QUESTION # 282
A company provides a Voice over Internet Protocol (VoIP) service that uses UDP connections. The service consists of Amazon EC2 instances that run in an Auto Scaling group. The company has deployments across multiple AWS Regions.
The company needs to route users to the Region with the lowest latency. The company also needs automated failover between Regions.
Which solution will meet these requirements?

  • A. Deploy a Network Load Balancer (NLB) and an associated target group. Associate the target group with the Auto Scaling group. Use the NLB as an AWS Global Accelerator endpoint in each Region.
  • B. Deploy an Application Load Balancer (ALB) and an associated target group. Associate the target group with the Auto Scaling group. Create an Amazon Route 53 weighted record that points to aliases for each ALB. Deploy an Amazon CloudFront distribution that uses the weighted record as an origin.
  • C. Deploy an Application Load Balancer (ALB) and an associated target group. Associate the target group with the Auto Scaling group. Use the ALB as an AWS Global Accelerator endpoint in each Region.
  • D. Deploy a Network Load Balancer (NLB) and an associated target group. Associate the target group with the Auto Scaling group. Create an Amazon Route 53 latency record that points to aliases for each NLB.
    Create an Amazon CloudFront distribution that uses the latency record as an origin.

Answer: D


NEW QUESTION # 283
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 Amazon S3 bucket and enable Multi-Factor Authentication Delete (MFA Delete) on the S3 bucket.
  • B. Store the audit logs in a Glacier vault and use the Vault Lock feature.
  • C. Store the audit logs in an EBS volume and then take EBS snapshots every month.
  • D. Store the audit logs in an EFS volume and use Network File System version 4 (NFSv4) file-locking mechanism.

Answer: B

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 # 284
A solutions architect has created a new AWS account and must secure AWS account root user access.
Which combination of actions will accomplish this? (Choose two.)

  • A. Add the root user to a group containing administrative permissions.
  • B. Ensure the root user uses a strong password.
  • C. Enable multi-factor authentication to the root user.
  • D. Store root user access keys in an encrypted Amazon S3 bucket.
  • E. Apply the required permissions to the root user with an inline policy document.

Answer: B,C


NEW QUESTION # 285
A data analytics company has been building its new generation big data and analytics platform on their AWS cloud infrastructure. They need a storage service that provides the scale and performance that their big data applications require such as high throughput to compute nodes coupled with read- after-write consistency and low-latency file operations. In addition, their data needs to be stored redundantly across multiple AZs and allows concurrent connections from multiple EC2 instances hosted on multiple AZs.
Which of the following AWS storage services will you use to meet this requirement?

  • A. S3
  • B. EBS
  • C. EFS
  • D. Glacier

Answer: C

Explanation:
In this question, you should take note of the two keywords/phrases: "file operation" and "allows concurrent connections from multiple EC2 instances". There are various AWS storage options that you can choose but whenever these criteria show up, always consider using EFS instead of using EBS Volumes which is mainly used as a "block" storage and can only have one connection to one EC2 instance at a time. Amazon EFS provides the scale and performance required for big data applications that require high throughput to compute nodes coupled with read-after-write consistency and low-latency file operations.
Amazon EFS is a fully-managed service that makes it easy to set up and scale file storage in the Amazon Cloud. With a few clicks in the AWS Management Console, you can create file systems that are accessible to Amazon EC2 instances via a file system interface (using standard operating system file I/O APIs) and supports full file system access semantics (such as strong consistency and file locking).
Amazon EFS file systems can automatically scale from gigabytes to petabytes of data without needing to provision storage. Tens, hundreds, or even thousands of Amazon EC2 instances can access an Amazon EFS file system at the same time, and Amazon EFS provides consistent performance to each Amazon EC2 instance. Amazon EFS is designed to be highly durable and highly available.
EBS is incorrect because it does not allow concurrent connections from multiple EC2 instances hosted on multiple AZs and it does not store data redundantly across multiple AZs by default, unlike EFS.
S3 is incorrect because although it can handle concurrent connections from multiple EC2 instances, it does not have the ability to provide low-latency file operations, which is required in this scenario. Glacier is incorrect because this is an archiving storage solution and is not applicable in this scenario.
References:
https://docs.aws.amazon.com/efs/latest/ug/performance.html https://aws.amazon.com/efs/faq/ Check out this Amazon EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-efs/
Check out this Amazon S3 vs EBS vs EFS Cheat Sheet: https://tutorialsdojo.com/amazon-s3-vs-ebs-vs- efs/ Here's a short video tutorial on Amazon EFS:
https://youtu.be/AvgAozsfCrY


NEW QUESTION # 286
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