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Amazon Web Services SAA-C03 Exam Sample Questions

Question # 1

A company's developers want a secure way to gain SSH access on the company's Amazon EC2 instances that run the latest version of Amazon Linux. The developers work remotely and in the corporate office. The company wants to use AWS services as a part of the solution. The EC2 instances are hosted in a VPC private subnet and access the internet through a NAT gateway that is deployed in a public subnet. What should a solutions architect do to meet these requirements MOST cost-effectively?

A. Create a bastion host in the same subnet as the EC2 instances. Grant the ec2: CreateVpnConnection 1AM permission to the developers. Install EC2 Instance Connect so that the developers can connect to the EC2 instances.

B. Create an AWS Site-to-Site VPN connection between the corporate network and the VPC. Instruct the developers to use the Site-to-Site VPN connection to access the EC2 instances when the developers are on the corporate network. Instruct the developers to set up another VPN connection for access when they work remotely.

C. Create a bastion host in the public subnet of the VPC. Configure the security groups and SSH keys of the bastion host to only allow connections and SSH authentication from the developers' corporate and remote networks. Instruct the developers to connect through the bastion host by using SSH to reach the EC2 instances.

D. Attach the AmazonSSMManagedlnstanceCore 1AM policy to an 1AM role that is associated with the EC2 instances. Instruct the developers to use AWS Systems Manager Session Manager to access the EC2 instances.

Answer

D. Attach the AmazonSSMManagedlnstanceCore 1AM policy to an 1AM role that is associated with the EC2 instances. Instruct the developers to use AWS Systems Manager Session Manager to access the EC2 instances.

Explanation: AWS Systems Manager Session Manager is a service that enables you to securely connect to your EC2 instances without using SSH keys or bastion hosts. You can use Session Manager to access your instances through the AWS Management Console, the AWS CLI, or the AWS SDKs. Session Manager uses IAM policies and roles to control who can access which instances. By attaching the AmazonSSMManagedlnstanceCore IAM policy to an IAM role that is associated with the EC2 instances, you grant the Session Manager service the necessary permissions to perform actions on your instances. You also need to attach another IAM policy to the developers’ IAM users or roles that allows them to start sessions to the instances. Session Manager uses the AWS Systems Manager Agent (SSM Agent) that is installed by default on Amazon Linux 2 and other supported Linux distributions. Session Manager also encrypts all session data between your client and your instances, and streams session logs to Amazon S3, Amazon CloudWatch Logs, or both for auditing purposes. This solution is the most cost-effective, as it does not require any additional resources or services, such as bastion hosts, VPN connections, or NAT gateways. It also simplifies the security and management of SSH access, as it eliminates the need for SSH keys, port opening, or firewall rules.

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Question # 2

A company runs containers in a Kubernetes environment in the company's local data center. The company wants to use Amazon Elastic Kubernetes Service (Amazon EKS) and other AWS managed services Data must remain locally in the company's data center and cannot be stored in any remote site or cloud to maintain compliance Which solution will meet these requirements?

A. Deploy AWS Local Zones in the company's data center

B. Use an AWS Snowmobile in the company's data center

C. Install an AWS Outposts rack in the company's data center

D. Install an AWS Snowball Edge Storage Optimized node in the data center

Answer

C. Install an AWS Outposts rack in the company's data center

Explanation: AWS Outposts is a fully managed service that delivers AWS infrastructure and services to virtually any on-premises or edge location for a consistent hybrid experience. AWS Outposts supports Amazon EKS, which is a managed service that makes it easy to run Kubernetes on AWS and on-premises. By installing an AWS Outposts rack in the company’s data center, the company can run containers in a Kubernetes environment using Amazon EKS and other AWS managed services, while keeping the data locally in the company’s data center and meeting the compliance requirements. AWS Outposts also provides a seamless connection to the local AWS Region for access to a broad range of AWS services. Option A is not a valid solution because AWS Local Zones are not deployed in the company’s data center, but in large metropolitan areas closer to end users. AWS Local Zones are owned, managed, and operated by AWS, and they provide low-latency access to the public internet and the local AWS Region. Option B is not a valid solution because AWS Snowmobile is a service that transports exabytes of data to AWS using a 45-foot long ruggedized shipping container pulled by a semi-trailer truck. AWS Snowmobile is not designed for running containers or AWS managed services on-premises, but for largescale data migration. Option D is not a valid solution because AWS Snowball Edge Storage Optimized is a device that provides 80 TB of HDD or 210 TB of NVMe storage capacity for data transfer and edge computing. AWS Snowball Edge Storage Optimized does not support Amazon EKS or other AWS managed services, and it is not suitable for running containers in a Kubernetes environment.

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Question # 3

A development team needs to host a website that will be accessed by other teams. The website contents consist of HTML, CSS, client-side JavaScript, and images Which method is the MOST cost-effective for hosting the website?

A. Containerize the website and host it in AWS Fargate.

B. Create an Amazon S3 bucket and host the website there

C. Deploy a web server on an Amazon EC2 instance to host the website.

D. Configure an Application Loa d Balancer with an AWS Lambda target that uses the Express js framework.

Answer

B. Create an Amazon S3 bucket and host the website there

Explanation:In Static Websites, Web pages are returned by the server which are prebuilt. They use simple languages such as HTML, CSS, or JavaScript.
There is no processing of content on the server (according to the user) in Static Websites. Web pages are returned by the server with no change therefore, static Websites are fast.
There is no interaction with databases.
Also, they are less costly as the host does not need to support server-side processing with different languages.
============
In Dynamic Websites, Web pages are returned by the server which are processed during runtime means they are not prebuilt web pages but they are built during runtime according to the user’s demand.
These use server-side scripting languages such as PHP, Node.js, ASP.NET and many more supported by the server.
So, they are slower than static websites but updates and interaction with databases are possible.

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Question # 4

A transaction processing company has weekly scripted batch jobs that run on Amazon EC2 instances. The EC2 instances are in an Auto Scaling group. The number of transactions can vary but the beseline CPU utilization that is noted on each run is at least 60%. The company needs to provision the capacity 30 minutes before the jobs run. Currently engineering complete this task by manually modifying the Auto Scaling group parameters. The company does not have the resources to analyze the required capacity trends for the Auto Scaling group counts. The company needs an automated way to modify the Auto Scaling group’s capacity. Which solution will meet these requiements with the LEAST operational overhead?

A. Ceate a dynamic scalling policy for the Auto Scaling group. Configure the policy to scale based on the CPU utilization metric to 60%.

B. Create a scheduled scaling polcy for the Auto Scaling group. Set the appropriate desired capacity, minimum capacity, and maximum capacity. Set the recurrence to weekly. Set the start time to 30 minutes. Before the batch jobs run.

C. Create a predictive scaling policy for the Auto Scaling group. Configure the policy to scale based on forecast. Set the scaling metric to CPU utilization. Set the target value for the metric to 60%. In the Policy, set the instances to pre-launch 30 minutes before the jobs run.

D. Create an Amazon EventBridge event to invoke an AWS Lamda function when the CPU utilization metric value for the Auto Scaling group reaches 60%. Configure the Lambda function to increase the Auto Scaling group’s desired capacity and maximum capacity by 20%.

Answer

C. Create a predictive scaling policy for the Auto Scaling group. Configure the policy to scale based on forecast. Set the scaling metric to CPU utilization. Set the target value for the metric to 60%. In the Policy, set the instances to pre-launch 30 minutes before the jobs run.

Explanation: This option is the most efficient because it uses a predictive scaling policy for the Auto Scaling group, which is a type of scaling policy that uses machine learning to predict capacity requirements based on historical data from CloudWatch1. It also configures the policy to scale based on forecast, which enables the Auto Scaling group to adjust its capacity in advance of traffic changes. It also sets the scaling metric to CPU utilization and the target value for the metric to 60%, which aligns with the baseline CPU utilization that is noted on each run. It also sets the instances to pre-launch 30 minutes before the jobs run, which ensures that enough capacity is provisioned before the weekly scripted batch jobs start. This solution meets the requirement of provisioning the capacity 30 minutes before the jobs run with the least operational overhead. Option A is less efficient because it uses a dynamic scaling policy for the Auto Scaling group, which is a type of scaling policy that adjusts your Auto Scaling group’s capacity in response to changing demand2. However, this does not provide a way to provision the capacity 30 minutes before the jobs run, as it only reacts to changing traffic. Option B is less efficient because it uses a scheduled scaling policy for the Auto Scaling group, which is a type of scaling policy that lets you scale your Auto Scaling group based on a schedule that you create3. However, this does not provide a way to scale based on forecast or CPU utilization, as it only scales based on predefined metrics and policies. Option D is less efficient because it uses an Amazon EventBridge event to invoke an AWS Lambda function when the CPU utilization metric value for the Auto Scaling group reaches 60%, which is a way to trigger serverless functions based on events. However, this does not provide a way to provision the capacity 30 minutes before the jobs run, as it only reacts to changing traffic.

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Question # 5

A company wants to use NAT gateways in its AWS environment. The company's Amazon EC2 instances in private subnets must be able to connect to the public internet through the NAT gateways. Which solution will meet these requirements'?

A. Create public NAT gateways in the same private subnets as the EC2 instances

B. Create private NAT gateways in the same private subnets as the EC2 instances

C. Create public NAT gateways in public subnets in the same VPCs as the EC2 instances

D. Create private NAT gateways in public subnets in the same VPCs as the EC2 instances

Answer

C. Create public NAT gateways in public subnets in the same VPCs as the EC2 instances

Explanation: A public NAT gateway enables instances in a private subnet to send outbound traffic to the internet, while preventing the internet from initiating connections with the instances. A public NAT gateway requires an elastic IP address and a route to the internet gateway for the VPC. A private NAT gateway enables instances in a private subnet to connect to other VPCs or on-premises networks through a transit gateway or a virtual private gateway. A private NAT gateway does not require an elastic IP address or an internet gateway. Both private and public NAT gateways map the source private IPv4 address of the instances to the private IPv4 address of the NAT gateway, but in the case of a public NAT gateway, the internet gateway then maps the private IPv4 address of the public NAT gateway to the elastic IP address associated with the NAT gateway. When sending response traffic to the instances, whether it’s a public or private NAT gateway, the NAT gateway translates the address back to the original source IP address.

Creating public NAT gateways in the same private subnets as the EC2 instances (option A) is not a valid solution, as the NAT gateways would not have a route to the internet gateway. Creating private NAT gateways in the same private subnets as the EC2 instances (option B) is also not a valid solution, as the instances would not be able to access the internet through the private NAT gateways. Creating private NAT gateways in public subnets in the same VPCs as the EC2 instances (option D) is not a valid solution either, as the internet gateway would drop the traffic from the private NAT gateways.

Therefore, the only valid solution is to create public NAT gateways in public subnets in the same VPCs as the EC2 instances (option C), as this would allow the instances to access the internet through the public NAT gateways and the internet gateway.

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