Amazon Web Services surepassexam free Sap-c02 Questions Attempt by Emmy q337 vce pdf

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Exam Name:	AWS Certified Solutions Architect - Professional
Exam Code:	SAP-C02 Dumps
Vendor:	Amazon Web Services	Certification:	AWS Certified Professional
Questions:	533 Q&A's	Shared By:	emmy

Question 96

A company is migrating an application to the AWS Cloud. The application runs in an on-premises data center and writes thousands of images into a mounted NFS file system each night. After the company migrates the application, the company will host the application on an Amazon EC2 instance with a mounted Amazon

Elastic File System (Amazon EFS) file system.

The company has established an AWS Direct Connect connection to AWS. Before the migration cutover, a solutions architect must build a process that will replicate the newly created on-premises images to the EFS file system.

What is the MOST operationally efficient way to replicate the images?

Options:

Configure a periodic process to run the aws s3 sync command from the on-premises file system to Amazon S3. Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system.

Deploy an AWS Storage Gateway file gateway with an NFS mount point. Mount the file gateway file system on the on-premises server. Configure a process to periodically copy the images to the mount point.

Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system. Send data over the Direct Connect connection to an S3 bucket by using public VIF. Configure an AWS Lambda function to process event notifications from Amazon S3 and copy the images from Amazon S3 to the EFS file system.

Deploy an AWS DataSync agent to an on-premises server that has access to the NFS file system. Send data over the Direct Connect connection to an AWS PrivateLink int

Discussion

Question 97

A team of data scientists is using Amazon SageMaker instances and SageMaker APIs to train machine learning (ML) models. The SageMaker instances are deployed in a

VPC that does not have access to or from the internet. Datasets for ML model training are stored in an Amazon S3 bucket. Interface VPC endpoints provide access to Amazon S3 and the SageMaker APIs.

Occasionally, the data scientists require access to the Python Package Index (PyPl) repository to update Python packages that they use as part of their workflow. A solutions architect must provide access to the PyPI repository while ensuring that the SageMaker instances remain isolated from the internet.

Which solution will meet these requirements?

Options:

Create an AWS CodeCommit repository for each package that the data scientists need to access. Configure code synchronization between the PyPl repositoryand the CodeCommit repository. Create a VPC endpoint for CodeCommit.

Create a NAT gateway in the VPC. Configure VPC routes to allow access to the internet with a network ACL that allows access to only the PyPl repositoryendpoint.

Create a NAT instance in the VPC. Configure VPC routes to allow access to the internet. Configure SageMaker notebook instance firewall rules that allow access to only the PyPI repository endpoint.

Create an AWS CodeArtifact domain and repository. Add an external connection for public:pypi to the CodeArtifact repository. Configure the Python client touse the CodeArtifact repository. Create a VPC endpoint for CodeArtifact.

Discussion

Question 98

A company uses AWS Organizations to manage its development environment. Each development team at the company has its own AWS account Each account has a single VPC and CIDR blocks that do not overlap.

The company has an Amazon Aurora DB cluster in a shared services account All the development teams need to work with live data from the DB cluster

Which solution will provide the required connectivity to the DB cluster with the LEAST operational overhead?

Options:

Create an AWS Resource Access Manager (AWS RAM) resource share tor the DB cluster. Share the DB cluster with all the development accounts

Create a transit gateway in the shared services account Create an AWS Resource Access Manager (AWS RAM) resource share for the transit gateway Share the transit gateway with all the development accounts Instruct the developers to accept the resource share Configure networking.

Create an Application Load Balancer (ALB) that points to the IP address of the DB cluster Create an AWS PrivateLink endpoint service that uses the ALB Add permissions to allow each development account to connect to the endpoint service

Create an AWS Site-to-Site VPN connection in the shared services account Configure networking Use AWS Marketplace VPN software in each development account to connect to the Site-to-Site VPN connection

Discussion

Question 99

A company is planning to migrate workloads from its on-premises data center to Amazon EC2 instances. The workloads run on physical servers and VMware virtual servers. The company has gathered details about each on-premises server and virtual server, including server specification, CPU utilization, and memory utilization. The company has stored these details in a .csv file named onprem.csv.

Before the migration, the company must estimate the cost of running the servers on AWS and must determine recommended EC2 instance types for the servers. The company must export this information to a different .csv file.

Which solution will meet these requirements?

Options:

Configure AWS Compute Optimizer to generate recommendations from an external source. Import the onprem.csv file. Export the Compute Optimizer recommendations to a new .csv file.

Import the onprem.csv file into AWS Migration Hub by using AWS Migration Hub import. Use EC2 instance recommendations from Migration Hub to generate recommendations. Export the recommendations to a new .csv file.

Deploy AWS Application Discovery Service Agentless Collector on premises. Use Agentless Collector to import the onprem.csv file. Send the file to AWS Migration Hub. Use EC2 instance recommendations from Migration Hub to generate recommendations. Export the recommendations to a new .csv file.

Upload the onprem.csv file to an Amazon S3 bucket. Configure Migration Evaluator to import the data from the S3 bucket. Generate and confirm recommendations by using Migration Evaluator Quick Insights. Export the final recommendations to a new .csv file in the S3 bucket.

Discussion

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