Amazon Web Services testinside download Latest Sap-c02 Questions by Luan q421 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:	562 Q&A's	Shared By:	luan

Question 72

A company is planning to migrate its on-premises transaction-processing application to AWS. The application runs inside Docker containers that are hosted on VMS in the company's data center. The Docker containers have shared storage where the application records transaction data.

The transactions are time sensitive. The volume of transactions inside the application is unpredictable. The company must implement a low-latency storage solution that will automatically scale throughput to meet increased demand. The company cannot develop the application further and cannot continue to administer the Docker hosting environment.

How should the company migrate the application to AWS to meet these requirements?

Options:

Migrate the containers that run the application to Amazon Elastic Kubernetes Service (Amazon EKS). Use Amazon S3 to store the transaction data that the containers share.

Migrate the containers that run the application to AWS Fargate for Amazon Elastic Container Service (Amazon ECS). Create an Amazon Elastic File System (Amazon EFS) file system. Create a Fargate task definition. Add a volume to the task definition to point to the EFS file system

Migrate the containers that run the application to AWS Fargate for Amazon Elastic Container Service (Amazon ECS). Create an Amazon Elastic Block Store (Amazon EBS) volume. Create a Fargate task definition. Attach the EBS volume to each running task.

Launch Amazon EC2 instances. Install Docker on the EC2 instances. Migrate the containers to the EC2 instances. Create an Amazon Elastic File System (Amazon EFS) file system. Add a mount point to the EC2 instances for the EFS file system.

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Question 73

A company has an application that analyzes and stores image data on premises The application receives millions of new image files every day Files are an average of 1 MB in size The files are analyzed in batches of 1 GB When the application analyzes a batch the application zips the imagestogether The application then archives the images as a single file in an on-premises NFS server for long-term storage

The company has a Microsoft Hyper-V environment on premises and has compute capacity available The company does not have storage capacity and wants to archive the images on AWS The company needs the ability to retrieve archived data within t week of a request.

The company has a 10 Gbps AWS Direct Connect connection between its on-premises data center and AWS. The company needs to set bandwidth limits and schedule archived images to be copied to AWS dunng non-business hours.

Which solution will meet these requirements MOST cost-effectively?

Options:

Deploy an AWS DataSync agent on a new GPU-based Amazon EC2 instance Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Instant Retrieval After the successful copy delete the data from the on-premises storage

Deploy an AWS DataSync agent as a Hyper-V VM on premises Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Glacier Deep Archive After the successful copy delete the data from the on-premises storage

Deploy an AWS DataSync agent on a new general purpose Amazon EC2 instance Configure the DataSync agent to copy the batch of files from the NFS on-premises server to Amazon S3 Standard After the successful copy deletes the data from the on-premises storage Create an S3 Lifecycle rule to transition objects from S3 Standard to S3 Glacier Deep Archive after 1 day

Deploy an AWS Storage Gateway Tape Gateway on premises in the Hyper-V environment Connect the Tape Gateway to AWS Use automatic tape creation Specify an Amazon S3 Glacier Deep Archive pool Eject the tape after the batch of images is copied

Discussion

Question 74

Question:

How should a companyefficiently processinfrequently uploaded S3 data using a long-running (up to 25 minutes) custom application?

Options:

ECS on Fargate triggered by EventBridge

Lambda in Step Functions with 30-min timeout

ECS with EC2 and Glue crawler

Lambda triggered by fan-out HTTP EventBridge logic

Discussion

Question 75

A company is running a compute workload by using Amazon EC2 Spot Instances that are in an Auto Scaling group. The launch template uses two placement groups and a single instance type.

Recently, a monitoring system reported Auto Scaling instance launch failures that correlated with longer wait times for system users. The company needs to improve the overall reliability of the workload.

Which solution will meet this requirement?

Options:

Replace the launch template with a launch configuration to use an Auto Scaling group thatuses attribute-based instance type selection.

Create a new launch template version that uses attribute-based instance type selection. Configure the Auto Scaling group to use the new launch template version.

Update the launch template Auto Scaling group to increase the number of placement groups.

Update the launch template to use a larger instance type.