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NEW QUESTION: 1
金融会社は、ユーザーの毎月の不変の銀行口座明細書を生成するシステムを構築しています。明細書はAmazon S3に保存されます。ユーザーは毎月の明細書に最大2年間アクセスできる必要があります。 。会社のセキュリティおよびコンプライアンスポリシーでは、ステートメントを少なくとも7年間保持する必要があります。会社のニーズを満たすための最も費用対効果の高いソリューションは何ですか。
A. S3インテリジェントティアリングでオブジェクトロックを有効にしてS3バケットを作成しますデフォルトの保持期間を2年にしてコンプライアンスモードを有効にします2年後にデータをS3 Glacierに移動するS3ライフサイクルポリシーを定義しますS3 Glacierボールトを接続します7年未満のアーカイブの削除権限を拒否するロックポリシー
B. オブジェクトロックを無効にしてS3バケットを作成しますS3標準のStoreステートメントを定義します30日後にデータをS3標準低頻度アクセス（S3標準-IA）に移行するS3 Litecycleポリシーを定義しますデータを移動する別のS3ライフサイクルポリシーを定義します2年後にS3 Glacierディープアーカイブに追加7年未満のアーカイブの削除権限を拒否するS3 Glacier Vault Lockポリシーをアタッチします。
C. バージョニングを有効にしてS3バケットを作成し、S3 Intelligent-TieringでStoreステートメントを使用します。同じ領域の複製を使用して、オブジェクトをバックアップS3バケットに複製します。バックアップS3バケットのS3ライフサイクルポリシーを定義して、データをS3 Glacierに移動します。 S3 Glacier Vault Lockポリシーで、7年未満のアーカイブの削除権限を拒否
D. バージョン管理を無効にしたS3バケットを作成しますS3 One Zone-Incent Access（S3 One Zone-IA）でStoreステートメントを作成しますS3ライフサイクルポリシーを定義して、2年後にデータをS3 Glacier Deep Archiveに移動しますS3 Glacierボールトロックをアタッチします7年未満のアーカイブの削除権限を拒否するポリシー
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonS3/latest/userguide/object-lock-overview.htmlhttps://aws.amazon.com/fr/b

NEW QUESTION: 2

A. Option A
B. Option C
C. Option D
D. Option B
Answer: A

NEW QUESTION: 3




Refer to the screenshot in Exhibit 4. Which of the items is true regarding the activation of a Management Extension update?
A. Adds support for new hardware
B. Adds support for new LAN protocols
C. Adds support for new SAN protocols
D. Adds support for new management access protocols
Answer: A
Explanation:
Exhibit 4 shown below: Management Extensions enable you to add support for previously unsupported servers and other hardware to Cisco UCS Manager. For example, you may need to activate a Management Extension if you want to add a new, previously unsupported server to an existing Cisco UCS domain.

Reference: http://www.cisco.com/c/en/us/td/docs/unified_computing/ucs/sw/firmware-mgmt/gui/22/b_GUI_Firmware_Management_22/b_GUI_Firmware_Management_22_chapter_01001.html#ta sk_AAF21C05F1754D30B2CBFFA4642840E3

NEW QUESTION: 4
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
このセクションの質問に回答すると、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Data Lake Gen1ストレージを使用するHDInsight / Hadoopクラスターソリューションを設計しています。
ソリューションにはPOSIX権限が必要であり、監査の診断ログを有効にします。
ストレージを最適化するソリューションを推奨する必要があります。
提案されたソリューション：圧縮ジョブを実装して、小さなファイルを大きなファイルに結合します。
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: B
Explanation:
Explanation
Depending on what services and workloads are using the data, a good size to consider for files is 256 MB or greater. If the file sizes cannot be batched when landing in Data Lake Storage Gen1, you can have a separate compaction job that combines these files into larger ones.
Note: POSIX permissions and auditing in Data Lake Storage Gen1 comes with an overhead that becomes apparent when working with numerous small files. As a best practice, you must batch your data into larger files versus writing thousands or millions of small files to Data Lake Storage Gen1. Avoiding small file sizes can have multiple benefits, such as:
Lowering the authentication checks across multiple files
Reduced open file connections
Faster copying/replication
Fewer files to process when updating Data Lake Storage Gen1 POSIX permissions References:
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lake-store-best-practices