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Amazon Web Services Updated SAP-C02 Exam Questions and Answers by zayne

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Amazon Web Services SAP-C02 Exam Overview :

Exam Name: AWS Certified Solutions Architect - Professional
Exam Code: SAP-C02 Dumps
Vendor: Amazon Web Services Certification: AWS Certified Professional
Questions: 562 Q&A's Shared By: zayne
Question 136

A retail company is mounting IoT sensors in all of its stores worldwide. During the manufacturing of each sensor, the company's private certificate authority (CA) issues an X.509 certificate that contains a unique serial number. The company then deploys each certificate to its respective sensor.

A solutions architect needs to give the sensors the ability to send data to AWS after they are installed. Sensors must not be able to send data to AWS until they are installed.

Which solution will meet these requirements?

Options:

A.

Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. During manufacturing, call the RegisterThing API operation and specify the template and parameters.

B.

Create an AWS Step Functions state machine that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Specify the Step Functions state machine to validate parameters. Call the StartThingRegistrationTask API operation during installation.

C.

Create an AWS Lambda function that can validate the serial number. Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Add the Lambda function as a pre-provisioning hook. Register the CA with AWS IoT Core, specify the provisioning template, and set the allow-auto-registration parameter.

D.

Create an AWS IoT Core provisioning template. Include the SerialNumber parameter in the Parameters section. Include parameter validation in the template. Provision a claim certificate and a private key for each device that uses the CA. Grant AWS IoT Core service permissions to update AWS IoT things during provisioning.

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Question 137

A company needs to migrate its on-premises database fleet to Amazon RDS. The company is currently using a mixture of Microsoft SQL Server, and Oracle databases. Some of the databases have custom schemas and stored procedures.

Which combination of steps should the company take for the migration? (Select TWO.)

Options:

A.

Use Migration Evaluator Quick Insights to analyze the source databases and to identify the stored procedures that need to be migrated.

B.

Use AWS Application Migration Service to analyze the source databases and to identify the stored procedures that need to be migrated.

C.

Use AWS SCT to analyze the source databases for changes that are required.

D.

Use AWS DM5 to migrate the source databases to Amazon RD5.

E.

Use AWS DataSync to migrate the data from the source databases to Amazon RDS.

Discussion
Question 138

A company has introduced a new policy that allows employees to work remotely from their homes if they connect by using a VPN The company Is hosting Internal applications with VPCs in multiple AWS accounts Currently the applications are accessible from the company's on-premises office network through an AWS Site-to-Site VPN connection The VPC in the company's main AWS account has peering connections established with VPCs in other AWS accounts.

A solutions architect must design a scalable AWS Client VPN solution for employees to use while they work from home

What is the MOST cost-effective solution that meets these requirements?

Options:

A.

Create a Client VPN endpoint in each AWS account Configure required routing that allows access to internal applications

B.

Create a Client VPN endpoint in the mam AWS account Configure required routing that allows access to internal applications

C.

Create a Client VPN endpoint in the main AWS account Provision a transit gateway that is connected to each AWS account Configure required routing that allows access to internal applications

D.

Create a Client VPN endpoint in the mam AWS account Establish connectivity between the Client VPN endpoint and the AWS Site-to-Site VPN

Discussion
Question 139

A life sciences company is using a combination of open source tools to manage data analysis workflows and Docker containers running on servers in its on-premises data center to process genomics data Sequencing data is generated and stored on a local storage area network (SAN), and then the data is processed. The research and development teams are running into capacity issues and have decided to re-architect their genomics analysis platform on AWS to scale based on workload demands and reduce the turnaround time from weeks to days

The company has a high-speed AWS Direct Connect connection Sequencers will generate around 200 GB of data for each genome, and individual jobs can take several hours to process the data with ideal compute capacity. The end result will be stored in Amazon S3. The company is expecting 10-15 job requests each day

Which solution meets these requirements?

Options:

A.

Use regularly scheduled AWS Snowball Edge devices to transfer the sequencing data into AWS When AWS receives the Snowball Edge device and the data is loaded into Amazon S3 use S3 events to trigger an AWS Lambda function to process the data

B.

Use AWS Data Pipeline to transfer the sequencing data to Amazon S3 Use S3 events to trigger an Amazon EC2 Auto Scaling group to launch custom-AMI EC2 instances running the Docker containers to process the data

C.

Use AWS DataSync to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Lambda function that starts an AWS Step Functions workflow Store the Docker images in Amazon Elastic Container Registry (Amazon ECR) and trigger AWS Batch to run the container and process the sequencing data

D.

Use an AWS Storage Gateway file gateway to transfer the sequencing data to Amazon S3 Use S3 events to trigger an AWS Batch job that runs on Amazon EC2 instances running the Docker containers to process the data

Discussion
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