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NEW QUESTION: 1
開発チームは、企業内でサーバーレスアプリケーションとして新しいAPIを展開しています。チームは現在、AWSマネジメントコンソールを使用して、Amazon API Gateway、AWS Lambda、およびAmazonDynamoDBリソースをプロビジョニングしています。ソリューションアーキテクトは、これらのサーバーレスAPIの将来の展開を自動化する任務を負っています。
これはどのように達成できますか？
A. Use the AWS Serverless Application Model to define the resources. Upload a YAML template and application files to the code repository. Use AWS CodePipeline to connect to the code repository and to create an action to build using AWS CodeBuild. Use the AWS CloudFormation deployment provider in CodePipeline to deploy the solution.
B. Commit the application code to the AWS CodeCommit code repository. Use AWS CodePipeline and connect to the CodeCommit code repository. Use AWS CodeBuild to build and deploy the Lambda functions using AWS CodeDeploy. Specify the deployment preference type in CodeDeploy to gradually shift traffic over to the new version.
C. Use AWS CloudFormation to define the serverless application. Implement versioning on the Lambda functions and create aliases to point to the versions. When deploying, configure weights to implement shifting traffic to the newest version, and gradually update the weights as traffic moves over.
D. Use AWS CloudFormation with a Lambda-backed custom resource to provision API Gateway. Use the AWS::DynamoDB::Table and AWS::Lambda::Function resources to create the Amazon DynamoDB table and Lambda functions. Write a script to automate the deployment of the CloudFormation template.
Answer: A
Explanation:
Explanation
https://aws-quickstart.s3.amazonaws.com/quickstart-trek10-serverless-enterprise-cicd/doc/serverless-cicd-for-the
https://aws.amazon.com/quickstart/architecture/serverless-cicd-for-enterprise/

NEW QUESTION: 2
Your company produces 20,000 files every hour. Each data file is formatted as a comma separated values (CSV) file that is less than 4 KB. All files must be ingested on Google Cloud Platform before they can be processed. Your company site has a 200 ms latency to Google Cloud, and your Internet connection bandwidth is limited as 50 Mbps. You currently deploy a secure FTP (SFTP) server on a virtual machine in Google Compute Engine as the data ingestion point. A local SFTP client runs on a dedicated machine to transmit the CSV files as is. The goal is to make reports with data from the previous day available to the executives by 10:00 a.m. each day. This design is barely able to keep up with the current volume, even though the bandwidth utilization is rather low.
You are told that due to seasonality, your company expects the number of files to double for the next three months. Which two actions should you take? (choose two.)
A. Create an S3-compatible storage endpoint in your network, and use Google Cloud Storage Transfer Service to transfer on-premices data to the designated storage bucket.
B. Introduce data compression for each file to increase the rate file of file transfer.
C. Contact your internet service provider (ISP) to increase your maximum bandwidth to at least 100 Mbps.
D. Redesign the data ingestion process to use gsutil tool to send the CSV files to a storage bucket in parallel.
E. Assemble 1,000 files into a tape archive (TAR) file. Transmit the TAR files instead, and disassemble the CSV files in the cloud upon receiving them.
Answer: A,D

NEW QUESTION: 3
Sie haben eine virtuelle Azure Linux-Maschine, die durch Azure Backup geschützt ist.
Vor einer Woche wurden zwei Dateien von der virtuellen Maschine gelöscht.
Sie müssen die gelöschten Dateien so schnell wie möglich auf einem lokalen Computer wiederherstellen.
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Answer:
Explanation:

Explanation:
To restore files or folders from the recovery point, go to the virtual machine and choose the desired recovery point.
Step 0. In the virtual machine's menu, click Backup to open the Backup dashboard.
Step 1. In the Backup dashboard menu, click File Recovery.
Step 2. From the Select recovery point drop-down menu, select the recovery point that holds the files you want. By default, the latest recovery point is already selected.
Step 3: To download the software used to copy files from the recovery point, click Download Executable (for Windows Azure VM) or Download Script (for Linux Azure VM, a python script is generated).
Step 4: Copy the files by using AzCopy
AzCopy is a command-line utility designed for copying data to/from Microsoft Azure Blob, File, and Table storage, using simple commands designed for optimal performance. You can copy data between a file system and a storage account, or between storage accounts.
References:
https://docs.microsoft.com/en-us/azure/backup/backup-azure-restore-files-from-vm
https://docs.microsoft.com/en-us/azure/storage/common/storage-use-azcopy