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Free Amazon Web Services SAP-C02 Practice Exam with Questions & Answers | Set: 12

Questions 166

A company needs to gather data from an experiment in a remote location that does not have internet connectivity. During the experiment, sensors that are connected to a total network will generate 6 TB of data in a preprimary formal over the course of 1 week. The sensors can be configured to upload their data files to an FTP server periodically, but the sensors do not have their own FTP server. The sensors also do not support other protocols. The company needs to collect the data centrally and move lie data to object storage in the AWS Cloud as soon. as possible after the experiment.

Which solution will meet these requirements?

Options:
A.

Order an AWS Snowball Edge Compute Optimized device. Connect the device to the local network. Configure AWS DataSync with a target bucket name, and unload the data over NFS to the device. After the experiment return the device to AWS so that the data can be loaded into Amazon S3.

B.

Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Create a shell script that periodically downloads data from each sensor. After the experiment, return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store [Amazon EBS) volume.

C.

Order an AWS Snowcone device, including an Amazon Linux 2 AMI. Connect the device to the local network. Launch an Amazon EC2 instance on the device. Install and configure an FTP server on the EC2 instance. Configure the sensors to upload data to the EC2 instance. After the experiment, return the device to AWS so that the data can be loaded into Amazon S3.

D.

Order an AWS Snowcone device. Connect the device to the local network. Configure the device to use Amazon FSx. Configure the sensors to upload data to the device. Configure AWS DataSync on the device to synchronize the uploaded data with an Amazon S3 bucket Return the device to AWS so that the data can be loaded as an Amazon Elastic Block Store (Amazon EBS) volume.

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Questions 167

A company has an loT platform that runs in an on-premises environment. The platform consists of a server that connects to loT devices by using the MQTT protocol. The platform collects telemetry data from the devices at least once every 5 minutes The platform also stores device metadata in a MongoDB cluster

An application that is installed on an on-premises machine runs periodic jobs to aggregate and transform the telemetry and device metadata The application creates reports that users view by using another web application that runs on the same on-premises machine The periodic jobs take 120-600 seconds to run However, the web application is always running.

The company is moving the platform to AWS and must reduce the operational overhead of the stack.

Which combination of steps will meet these requirements with the LEAST operational overhead? (Select THREE.)

Options:
A.

Use AWS Lambda functions to connect to the loT devices

B.

Configure the loT devices to publish to AWS loT Core

C.

Write the metadata to a self-managed MongoDB database on an Amazon EC2 instance

D.

Write the metadata to Amazon DocumentDB (with MongoDB compatibility)

E.

Use AWS Step Functions state machines with AWS Lambda tasks to prepare the reports and to write the reports to Amazon S3 Use Amazon CloudFront with an S3origin to serve the reports

F.

Use an Amazon Elastic Kubernetes Service (Amazon EKS) cluster with Amazon EC2 instances to prepare the reports Use an ingress controller in the EKS cluster to serve the reports

Questions 168

A company wants to optimize AWS data-transfer costs and compute costs across developer accounts within the company's organization in AWS Organizations Developers can configure VPCs and launch Amazon EC2 instances in a single AWS Region The EC2 instances retrieve approximately 1 TB of data each day from Amazon S3

The developer activity leads to excessive monthly data-transfer charges and NAT gateway processing charges between EC2 instances and S3 buckets, along with high compute costs The company wants to proactively enforce approved architectural patterns for any EC2 instance and VPC infrastructure that developers deploy within the AWS accounts The company does not wantthis enforcement to negatively affect the speed at which the developers can perform their tasks

Which solution will meet these requirements MOST cost-effectively?

Options:
A.

Create SCPs to prevent developers from launching unapproved EC2 instance types Provide the developers with an AWS CloudFormation template to deploy an approved VPC configuration with S3 interface endpoints Scope the developers* IAM permissions so that the developers can launch VPC resources only with CloudFormation

B.

Create a daily forecasted budget with AWS Budgets to monitor EC2 compute costs and S3 data-transfer costs across the developer accounts When the forecasted cost is 75% of the actual budget cost, send an alert to the developer teams If the actual budget cost is 100%. create a budget action to terminate the developers' EC2 instances and VPC infrastructure

C.

Create an AWS Service Catalog portfolio that users can use to create an approved VPC configuration with S3 gateway endpoints and approved EC2 instances Share the portfolio with the developer accounts Configure an AWS Service Catalog launch constraint to use an approved IAM role Scope the developers' IAM permissions to allow access only to AWS Service Catalog

D.

Create and deploy AWS Config rules to monitor the compliance of EC2 and VPC resources in the developer AWS accounts If developers launch unapproved EC2 instances or if developers create VPCs without S3 gateway endpoints perform a remediation action to terminate the unapproved resources

Questions 169

A company has an application that is deployed on Amazon EC2 instances behind an Application Load Balancer (ALB). The instances are part of an Auto Scaling group.Theapplication has unpredictable workloads and frequently scales out and in. The company's development team wants to analyze application logs to find ways to improve the application's performance. However, the logs are no longer available after instances scale in.

Which solution will give the development team the ability to view the application logs after a scale-in event?

Options:
A.

Enable access logs for the ALB. Store the logs in an Amazon S3 bucket.

B.

Configure the EC2 instances lo publish logs to Amazon CloudWatch Logs by using the unified CloudWatch agent.

C.

Modify the Auto Scaling group to use a step scaling policy.

D.

Instrument the application with AWS X-Ray tracing.

Questions 170

A company is migrating its legacy .NET workload to AWS. The company has a containerized setup that includes a base container image. The base image is tens of

gigabytes in size because of legacy libraries and other dependencies. The company has images for custom developed components that are dependent on the base image.

The company will use Amazon Elastic Container Registry (Amazon ECR) as part of its solution on AWS.

Which solution will provide the LOWEST container startup time on AWS?

Options:
A.

Use Amazon ECR to store the base image and the images for the custom developed components. Use Amazon Elastic Container Service (Amazon ECS) onAWS Fargate to run the workload.

B.

Use Amazon ECR to store the base image and the images for the custom developed components. Use AWS App Runner to run the workload.

C.

Use Amazon ECR to store the images for the custom developed components. Create an AMI that contains the base image. Use Amazon Elastic Container Service (Amazon ECS) on Amazon EC2 instances that are based on the AMI to run the workload

D.

Use Amazon ECR to store the images for the custom developed components. Create an AMI that contains the base image. Use Amazon Elastic Kubernetes Service (Amazon EKS) on AWS Fargate with the AMI to run the workload.