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NEW QUESTION: 1
SaaS（Software as a Service）モデルでデータ損失防止メカニズムを維持するのは誰の責任ですか？
A. クラウドキャリア
B. クラウドのお客様
C. クラウドサービスプロバイダー
D. クラウドアクセスセキュリティブローカー
Answer: C
Explanation:
Although clouds customer is legally responsible for data that he stores on the cloud but Cloud Service Provider has to maintain data loss prevention mechanisms
NEW QUESTION: 2
企業がAWSに個人識別情報（PII）を含むファイルを保存するためのソリューションを構築しています。
要件の状態：
-すべてのデータは保存時および転送時に暗号化する必要があります。
-Alデータは、少なくとも2つの場所に複製される必要があります。
500マイル以上離れています。
これらの要件を満たすソリューションはどれですか？
A. 少なくとも500マイル離れた2つの別々のAWSリージョンにプライマリおよびセカンダリAmazon S3バケットを作成します。バケットポリシーを使用して、HTTPS経由でのみバケットへのアクセスを強制します。
バケットポリシーを使用して、バケットにアップロードされたすべてのオブジェクトにS3管理キー（SSE-S3）を適用します。
2つのバケット間のリージョン間レプリケーションを構成します。
B. 少なくとも500マイル離れた2つの別々のアベイラビリティーゾーンにプライマリおよびセカンダリAmazon S3バケットを作成します。バケットポリシーを使用して、HTTPS経由でのみバケットへのアクセスを強制します。
バケットポリシーを使用して、バケットにアップロードされたすべてのオブジェクトにAWS KMS暗号化を適用します。
2つのバケット間のリージョン間レプリケーションを構成します。オブジェクトを暗号化するために、プライマリリージョンにKMSカスタマーマスターキー（CMK）を作成します。
C. 少なくとも500マイル離れた2つの別々のAWSリージョンにプライマリとセカンダリのAmazon S3バケットを作成します。 IAMロールを使用して、HTTPS経由でのみバケットへのアクセスを強制します。バケットポリシーを使用して、バケットにアップロードされたすべてのオブジェクトにAmazon S3-Managed Keys（SSE-S3）を適用します。 2つのバケット間のリージョン間レプリケーションを構成します。
D. 少なくとも500マイル離れた2つの別々のアベイラビリティーゾーンにプライマリおよびセカンダリAmazon S3バケットを作成します。バケットポリシーを使用して、HTTPS経由でのみバケットへのアクセスを強制します。
バケットポリシーを使用して、バケットにアップロードされたすべてのオブジェクトにAmazon S3 SSE-Cを適用します。
2つのバケット間のリージョン間レプリケーションを構成します。
Answer: A
NEW QUESTION: 3
You use Azure Data Lake Storage Gen2 to store data that data scientists and data engineers will query by using Azure Databricks interactive notebooks. The folders in Data Lake Storage will be secured, and users will have access only to the folders that relate to the projects on which they work.
You need to recommend which authentication methods to use for Databricks and Data Lake Storage to provide the users with the appropriate access. The solution must minimize administrative effort and development effort Which authentication method should you recommend for each Azure service? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Databricks: Personal access tokens
To authenticate and access Databricks REST APIs, you use personal access tokens. Tokens are similar to passwords; you should treat them with care. Tokens expire and can be revoked.
Data Lake Storage: Azure Active Directory
Azure Data Lake Storage Gen1 uses Azure Active Directory for authentication.
References:
https://docs.azuredatabricks.net/dev-tools/api/latest/authentication.html
https://docs.microsoft.com/en-us/azure/data-lake-store/data-lakes-store-authentication-using-azure-active-directo
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