Amazon SAP-C02 Exam Practice Test Instant Access

Question 1

A company hosts a public software as a service (SaaS) application on Amazon EC2 instances that run Linux. The EC2 instances are in multiple Availability Zones behind an Application Load Balancer. The application uses an Amazon RDS Multi-AZ database to store application data, including user sessions.

The company needs to minimize the latency that is involved in storing and accessing the user sessions.

Which solution will meet this requirement?

ACreate an Amazon S3 bucket. Store the user sessions in S3 Standard storage.

BCreate an Amazon FSx for Windows File Server volume. Mount the volume on each EC2 instance. Store the user sessions in the volume.

CCreate a Provisioned IOPS SSD (io2) Amazon Elastic Block Store (Amazon EBS) volume. Enable Multi-Attach. Attach the volume to each EC2 instance. Store the user sessions in the volume.

DCreate an Amazon ElastiCache for Redis cluster. Store the user sessions in the Redis cache.

Answer : D

Question 2

A company wants to create a single Amazon S3 bucket for its data scientists to store work-related documents. The company uses AWS 1AM Identity Center to authenticate all users. A group for the data scientists was created.

The company wants to give the data scientists access lo only their own work. The company also wants to create monthly reports that show which documents each user accessed.

Which combination of steps will meet these requirements? (Select TWO.)

ACreate a custom 1AM Identity Center permission set to grant the data scientists access to an S3 bucket prefix that matches their username tag. Use a policy to limit access to paths with the S{aws:PrincipalTag/userName}/* condition.

BCreate an 1AM Identity Center role for the data scientists group that has Amazon S3 read access and write access. Add an S3 bucket policy that allows access to the 1AM Identity Center role.

CConfigure AWS CloudTrail to log S3 data events and deliver the logs to an S3 bucket. Use Amazon Athena to run queries on the CloudTrail logs in Amazon S3 and generate reports.

DConfigure AWS CloudTrail to log S3 management events to CloudWatch. Use Amazon Athena's CloudWatch connector to query the logs and generate reports.

EEnable S3 access logging to EMR File System (EMRFS). Use Amazon S3 Select to query logs and generate reports.

Answer : A, C

Question 3

A company is running several applications in the AWS Cloud. The applications are specific to separate business units in the company. The company is running the components of the applications in several AWS accounts that are in an organization in AWS Organizations.

Every cloud resource in the company's organization has a tag that is named BusinessUnit. Every lag already has the appropriate value of the business unit name.

The company needs to allocate its cloud costs to different business units. The company also needs to visualize the cloud costs for each business unit.

Which solution will meet these requirements?

AIn the organization's management account, create a cost allocation tag that is named BusinessUnit. Also in the management account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure the S3 bucket as the destination for the AWS CUR. From the management account, query the AWS CUR data by using Amazon Athena. Use Amazon QuickSight for visualization.

BIn each member account, create a cost allocation tag that is named BusinessUnit. In the organization's management account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure the S3 bucket as the destination for the AWS CUR. Create an Amazon CloudWatch dashboard for visualization.

CIn the organization's management account, create a cost allocation tag that is named BusinessUnit. In each member account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure each S3 bucket as the destination for its respective AWS CUR. In the management account, create an Amazon CloudWatch dashboard for visualization.

DIn each member account, create a cost allocation tag that is named BusinessUnit. Also in each member account, create an Amazon S3 bucket and an AWS Cost and Usage Report (AWS CUR). Configure each S3 bucket as the destination for its respective AWS CUR. From the management account, query the AWS CUR data by using Amazon Athena. Use Amazon QuickSight for visualization.

Answer : D

Question 4

A company has a single AWS account. The company runs workloads on Amazon EC2 instances in multiple VPCs in one AWS Region. The company also runs workloads in an on-premises data center that connects to the company's AWS account by using AWS Direct Connect.

The company needs all EC2 instances in the VPCs to resolve DNS queries tor the internal.company.com domain to the authoritative DNS server that is located in the on-premises data center. The solution must use private communication between the VPCs and the on-premises network. All route tables, network ACLs. and security groups are configured correctly between AWS and the on-premises data center.

Which combination of actions will meet these requirements? (Select THREE.)

ACreate an Amazon Route 53 inbound endpoint in all the workload VPCs.

BCreate an Amazon Route 53 outbound endpoint in one of the workload VPCs.

CCreate an Amazon Route 53 Resolver rule with the Forward type configured to forward queries for internal.company.com for the on-premises DNS server.

DCreate an Amazon Route 53 Resolver rule with the System type configured to forward queries for internal.company.com to the on-premises DNS server.

EAssociate the Amazon Route 53 Resolver rule with all the workload VPCs.

FAssociate the Amazon Route 53 Resolver rule with the workload VPC with the new Route 53 endpoint.

Answer : C, E

Question 5

A company needs to modernize a legacy .NET Framework application. The application uses an application server and a Microsoft SQL Server database.

The company also needs to perform the following tasks:

Containerize the application into microservices.

* Keep control of the operating system patches and storage for the application layer.

* Add load balancing for the web servers.

* Make the application highly available.

Which solution will meet these requirements?

AConvert the application into a containerized application by using AWS App2Container. Deploy the containerized application on Amazon Elastic Container Service (Amazon ECS). Run the ECS cluster on Amazon EC2 instances in an Auto Scaling group. Place an Application Load Balancer in front of the Auto Scaling group. Use Amazon RDS for SOL Server with a Multi-AZ deployment to host the database.

BConvert the application into a containerized application by using AWS App2Container. Deploy the containerized application on Amazon Elastic Container Service (Amazon ECS). Run the ECS cluster on EC2 instances in an Auto Scaling group. Place a Network Load Balancer in front of the Auto Scaling group. Use Amazon Aurora MySQL with a Multi-AZ deployment to host the database.

CConvert the application into a containerized application by using the Porting Assistant for .NET tool. Deploy the containerized application on Amazon Elastic Kubernetes Service (Amazon EKS). Run the EKS cluster by using AWS Fargate. Place a Network Load Balancer in front of the Auto Scaling group. Host the database on Amazon Aurora MySQL. Configure cross-Region read replicas for the database.

DConvert the application into a containerized application by using the Porting Assistant for .NET tool. Deploy the containerized application on Amazon Elastic Kubernetes Service (Amazon EKS). Run the EKS cluster by using AWS Fargate. Place an Application Load Balancer in front of the Auto Scaling group. Use Amazon RDS for SQL Server with a Multi-AZ deployment to host the database.

Answer : A

Question 6

A startup company recently migrated a large ecommerce website to AWS The website has experienced a 70% increase in sates Software engineers are using a private GitHub repository to manage code The DevOps team is using Jenkins for builds and unit testing The engineers need to receive notifications for bad builds and zero downtime during deployments The engineers also need to ensure any changes to production are seamless for users and can be rolled back in the event of a major issue

The software engineers have decided to use AWS CodePipeline to manage their build and deployment process

Which solution will meet these requirements'?

AUse GitHub websockets to trigger the CodePipeline pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy in an in-place all-at-once deployment configuration using AWS CodeDeploy

BUse GitHub webhooks to trigger the CodePipelme pipeline Use the Jenkins plugin for AWS CodeBuild to conduct unit testing Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue'green deployment using AWS CodeDeploy

CUse GitHub websockets to trigger the CodePipelme pipeline. Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue/green deployment using AWS CodeDeploy.

DUse GitHub webhooks to trigger the CodePipeline pipeline Use AWS X-Ray for unit testing and static code analysis Send alerts to an Amazon SNS topic for any bad builds Deploy in an m-place. all-at-once deployment configuration using AWS CodeDeploy

Answer : B

GitHub Webhooks to Trigger CodePipeline:

Configure GitHub webhooks to trigger the AWS CodePipeline pipeline. This ensures that every code push to the repository automatically triggers the pipeline, initiating the build and deployment process.

Unit Testing with Jenkins and AWS CodeBuild:

Use Jenkins integrated with the AWS CodeBuild plugin to perform unit testing. Jenkins will manage the build process, and the results will be handled by CodeBuild.

Notifications for Bad Builds:

Configure Amazon SNS (Simple Notification Service) to send alerts for any failed builds. This keeps the engineering team informed of build issues immediately, allowing for quick resolutions.

Blue/Green Deployment with AWS CodeDeploy:

Utilize AWS CodeDeploy with a blue/green deployment strategy. This method reduces downtime and risk by running two identical production environments (blue and green). CodeDeploy shifts traffic between these environments, allowing you to test in the new environment (green) while the old environment (blue) remains live. If issues arise, you can quickly roll back to the previous environment.

This solution provides seamless, zero-downtime deployments, and the ability to quickly roll back changes if necessary, fulfilling the requirements of the startup company.

Reference

AWS DevOps Blog on Integrating Jenkins with AWS CodeBuild and CodeDeploy32.

Plain English Guide to AWS CodePipeline with GitHub33.

Jenkins Plugin for AWS CodePipeline34.

Question 7

A company wants to migrate virtual Microsoft workloads from an on-premises data center to AWS The company has successfully tested a few sample workloads on AWS. The company also has created an AWS Site-to-Site VPN connection to a VPC A solutions architect needs to generate a total cost of ownership (TCO) report for the migration of all the workloads from the data center

Simple Network Management Protocol (SNMP) has been enabled on each VM in the data center The company cannot add more VMs m the data center and cannot install additional software on the VMs The discovery data must be automatically imported into AWS Migration Hub

Which solution will meet these requirements?

AUse the AWS Application Migration Service agentless service and the AWS Migration Hub Strategy Recommendations to generate the TCO report

BLaunch a Windows Amazon EC2 instance Install the Migration Evaluator agentless collector on the EC2 instance Configure Migration Evaluator to generate the TCO report

CLaunch a Windows Amazon EC2 instance. Install the Migration Evaluator agentless collector on the EC2 instance. Configure Migration Hub to generate the TCO report

DUse the AWS Migration Readiness Assessment tool inside the VPC Configure Migration Evaluator to generate the TCO report

Answer : A

AWS Application Migration Service:

AWS Application Migration Service (MGN) facilitates the migration of virtual machines (VMs) to AWS without installing additional software on the VMs. This agentless service helps in seamlessly migrating workloads to AWS.

AWS Migration Hub Strategy Recommendations:

AWS Migration Hub Strategy Recommendations offer insights and guidance for planning and implementing migration strategies. It helps in generating a Total Cost of Ownership (TCO) report by automatically importing discovery data from the VMs.

Generating the TCO Report:

The combined use of AWS Application Migration Service and Migration Hub Strategy Recommendations enables the automatic import of discovery data and the generation of an accurate TCO report, ensuring a smooth and cost-effective migration process.

Reference

AWS Migration Hub Strategy Recommendations (AWS Documentation).

Amazon SAP-C02 AWS Certified Solutions Architect - Professional Exam Practice Test