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NEW QUESTION: 1
A. Option B
B. Option A
C. Option D
D. Option C
Answer: A
NEW QUESTION: 2
Which of the following is NOT a physical evidence?
A. Publications
B. Removable media
C. Image file on a hard disk
D. Cables
Answer: C
NEW QUESTION: 3
社内のアプリケーション信頼性チームはバックエンドサービスにデバッグ機能を追加し、最終的な分析のためにすべてのサーバーイベントをGoogle Cloud Storageに送信しました。 イベント記録は少なくとも50 KBで最大15 MBで、毎秒3000イベントでピークに達する予定です。 データ損失を最小限に抑えたい。
どのプロセスを実装する必要がありますか？
A. * メタデータ用の単一のマニフェストファイルを使用して、10,000イベントごとにバッチ処理を行います。
* イベントファイルとマニフェストファイルを単一のアーカイブファイルに圧縮します。
* serverName-EventSequenceを使用した名前ファイル。
* バケットが1日より古い場合は新しいバケットを作成し、1つのアーカイブファイルを新しいバケットに保存します。
それ以外の場合は、単一のアーカイブファイルを既存のバケットに保存します。
B. * ファイル本体にメタデータを追加します。
* 個々のファイルを圧縮する。
* ランダムな接頭辞パターンを持つ名前ファイル。
* 1つのバケットにファイルを保存する
C. * 個々のファイルを圧縮する。
* serverName-EventSequenceの名前ファイル。
* 1つのバケットにファイルを保存する
* 保存後に各オブジェクトのカスタムメタデータヘッダーを設定します。
D. * ファイル本体にメタデータを追加します。
* 個々のファイルを圧縮する。
* serverName - タイムスタンプの名前ファイル。
* バケットが1時間より古い場合は新しいバケットを作成し、個々のファイルを新しいバケットに保存します。
それ以外の場合は、ファイルを既存のバケットに保存します
Answer: B
Explanation:
https://cloud.google.com/storage/docs/request-rate
Use a naming convention that distributes load evenly across key ranges
Auto-scaling of an index range can be slowed when using sequential names, such as object keys based on a sequence of numbers or timestamp. This occurs because requests are constantly shifting to a new index range, making redistributing the load harder and less effective.
In order to maintain a high request rate, avoid using sequential names. Using completely random object names will give you the best load distribution.