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NEW QUESTION: 1
솔루션 아키텍트는 지사에 있는 네트워크 연결 파일 시스템에서 Amazon S3 Glacier로 750TB의 데이터를 전송해야 합니다. 솔루션은 지사의 저 대역 인터넷 연결을 포화시키지 않아야 합니다. MOST 비용 효율적인 솔루션은 무엇입니까?
A. 10 개의 AWS Snowball 어플라이언스를 주문하고 S3 Glacier 저장소를 대상으로 선택 버킷 정책을 생성하여 VPC 엔드 포인트를 시행하십시오.
B. 사이트 간 VPN 터널을 Amazon S3 버킷으로 생성하고 파일을 직접 전송 버킷 정책을 생성하여 VPC 엔드 포인트를 시행
C. 10 개의 AWS Snowball 어플라이언스를 주문하고 Amazon S3 버킷을 대상으로 선택 수명주기 정책을 생성하여 S3 객체를 Amazon S3 Glacier로 전환
D. 네트워크 연결 파일 시스템을 Amazon S3에 마운트하고 파일을 직접 복사하십시오. 수명주기 정책을 생성하여 S3 객체를 Amazon S3 Glacier로 전환
Answer: C
Explanation:
Explanation
Regional Limitations for AWS Snowball
The AWS Snowball service has two device types, the standard Snowball and the Snowball Edge. The following table highlights which of these devices are available in which regions.
Limitations on Jobs in AWS Snowball
The following limitations exist for creating jobs in AWS Snowball:
For security purposes, data transfers must be completed within 90 days of the Snowball being prepared.
Currently, AWS Snowball Edge device doesn't support server-side encryption with customer-provided keys (SSE-C). AWS Snowball Edge device does support server-side encryption with Amazon S3-managed encryption keys (SSE-S3) and server-side encryption with AWS Key Management Service-managed keys (SSE-KMS). For more information, see Protecting Data Using Server-Side Encryption in the Amazon Simple Storage Service Developer Guide.
In the US regions, Snowballs come in two sizes: 50 TB and 80 TB. All other regions have the 80 TB Snowballs only. If you're using Snowball to import data, and you need to transfer more data than will fit on a single Snowball, create additional jobs. Each export job can use multiple Snowballs.
The default service limit for the number of Snowballs you can have at one time is 1. If you want to increase your service limit, contact AWS Support.
All objects transferred to the Snowball have their metadata changed. The only metadata that remains the same is filename and filesize. All other metadata is set as in the following example: -rw-rw-r-- 1 root root [filesize] Dec 31 1969 [path/filename] Object lifecycle management To manage your objects so that they are stored cost effectively throughout their lifecycle, configure their Amazon S3 Lifecycle. An S3 Lifecycle configuration is a set of rules that define actions that Amazon S3 applies to a group of objects. There are two types of actions:
Transition actions-Define when objects transition to another storage class. For example, you might choose to transition objects to the S3 Standard-IA storage class 30 days after you created them, or archive objects to the S3 Glacier storage class one year after creating them.
Expiration actions-Define when objects expire. Amazon S3 deletes expired objects on your behalf.
The lifecycle expiration costs depend on when you choose to expire objects.
https://docs.aws.amazon.com/snowball/latest/ug/limits.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/object-lifecycle-mgmt.html
NEW QUESTION: 2
What is the purpose of a screen reader?
A. It manages and displays files that contain e-books.
B. It reads text displayed on the screen to blind or visually impaired people.
C. It displays lines and markers to help people use speed reading techniques.
D. It reads the parameters of the attached monitors and creates an appropriate X11 configuration.
Answer: B
Explanation:
Explanation
Section: User Interfaces and Desktops
NEW QUESTION: 3
通知レベルのメッセージングがsyslogサーバーに送信された場合、どのイベントが発生しましたか？
A. デバッグ操作が実行されています
B. ネットワークデバイスが再起動しました
C. ルーティングインスタンスがフラップしました
D. ARPインスペクションが失敗しました
Answer: B
NEW QUESTION: 4
ブループリントファイルをAzureに移動する必要があります。
あなたは何をするべきか？
A. 共有アクセス署名（SAS）を生成します。ドライブをマップし、ファイルエクスプローラーを使用してファイルをコピーします。
B. Azure Storage Explorerを使用してファイルをコピーします。
C. Azure Import / Exportサービスを使用します。
D. アクセスキーを生成します。ドライブをマップし、ファイルエクスプローラーを使用してファイルをコピーします。
Answer: B
Explanation:
Azure Storage Explorer is a free tool from Microsoft that allows you to work with Azure Storage data on Windows, macOS, and Linux. You can use it to upload and download data from Azure blob storage.
Scenario:
Planned Changes include: move the existing product blueprint files to Azure Blob storage.
Technical Requirements include: Copy the blueprint files to Azure over the Internet.
References: https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/move-data-to-azure-blob-using-azure-storage-explorer